Academic literature on the topic 'Vegetation support'
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Journal articles on the topic "Vegetation support":
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Rivaes, Rui Pedro, António Nascimento Pinheiro, Gregory Egger, and Maria Teresa Ferreira. "Using CASIMIR-VEGETATION Model in the context of modeling riparian woods and fish species to support a holistic approach for environmental flows to be used on river management and conservation." Revista Eletrônica de Gestão e Tecnologias Ambientais 4, no. 1 (November 23, 2016): 01. http://dx.doi.org/10.9771/gesta.v4i1.14292.
Abstract:
<p>The CASiMiR-vegetation model is a software that recreates the physical processes influencing the survival and recruitment of riparian vegetation, based on the relationship between ecologically relevant flow regime components and riparian vegetation metrics that reflect the vegetation’s responses to flow regime change. Working at a flow response guild level, this tool outperforms equivalent models by overriding various restrictions of the conventional modeling approaches. The potential of the CASiMiR-vegetation model is revealed in its application to different case studies during the development of a holistic approach to determine environmental flows in lowland Mediterranean rivers, based on woody riparian vegetation and fish species. Various modeling circumstances are described where CASiMiR-vegetation model was used with the purpose of sustaining the research addressing the thesis objectives. The main findings already accomplished in this research are highlighted to illustrate the outcomes that can be attained from the use of such a model.</p>
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Braun, Andreas Christian, Uwe Weidner, and Stefan Hinz. "Support Vector Machines for Vegetation Classification – A Revision." Photogrammetrie - Fernerkundung - Geoinformation 2010, no. 4 (August 1, 2010): 273–81. http://dx.doi.org/10.1127/1432-8364/2010/0055.
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Zhu, Xuan, J. McCosker, A. P. Dale, and R. J. Bischof. "Web-based decision support for regional vegetation management." Computers, Environment and Urban Systems 25, no. 6 (November 2001): 605–27. http://dx.doi.org/10.1016/s0198-9715(00)00033-8.
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Nugraha, M. R., and O. C. Dewi. "Maintaining Environmental Sustainability through Existing Environment’s Vegetations." IOP Conference Series: Earth and Environmental Science 940, no. 1 (December 1, 2021): 012044. http://dx.doi.org/10.1088/1755-1315/940/1/012044.
Abstract:
Abstract Demands for building in urban areas have been increasing lately, especially educational buildings as support for the human development index. Unfortunately, only a few educational buildings can support green buildings as pilots and educational materials for their users. One of the initiators in becoming educational materials and examples of green buildings is the i-cell multipurpose educational building at the Universitas Indonesia. This study aims to find evidence of how reliable and sustainable planning of an educational building in Depok, Indonesia, can accommodate the needs of its users while being environmentally friendly for its surroundings. It observes the influences of vegetation in the surrounding building, one of which is by maximizing the function of vegetation around the building. The research methods include collecting data from the weather archive, vegetation literature, observing the subject, and analyzing the vegetation’s effect. This study shows that vegetation has an important role in generating a sound environment for humans and buildings, including healing and providing calmness. This study concludes that vegetation plays a role in generating a good environment by decreasing temperature, sound pollution, sun glare and providing shading areas for people. Those conditions lead to the sustainability of the environment surrounding the building.
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Ye, Danqin. "Structure and Functions of Green Roof and Its Development in Urban Areas, China." Highlights in Science, Engineering and Technology 75 (December 28, 2023): 1–7. http://dx.doi.org/10.54097/41cwrt42.
Abstract:
The green roof is an environmentally friendly design, which is important for sustainable development and improvement of resilience in urban areas. This paper offers a systematically review of the classification, material selection, functionality, limiting factors of green roofs, and provides suggestions. The green roof is classified into intensive, extensive and semi-intensive ones according to the substrate depth and vegetation type. Its basic structure includes vegetation, substrate, filter, drainage, protection, anti-root, insulation and waterproofing layers from top to base. Among which, vegetation, waterproofing and drainage are vital layers to decide the roof efficient. The factors such as light, temperature and humidity conditions of the site are vital for determination of vegetations for a green roof. Green roofs provide benefits for urban areas via saving energy, reducing stormwater runoff and improving aesthetic. Roof load-bearing, seepage, survival of vegetations and support from all sectors are the main issues for the development of green roofs at current stage.
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Zuidema, Pieter A., Benjamin Poulter, and David C. Frank. "A Wood Biology Agenda to Support Global Vegetation Modelling." Trends in Plant Science 23, no. 11 (November 2018): 1006–15. http://dx.doi.org/10.1016/j.tplants.2018.08.003.
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Mohd Salleh, Mohd Radhie, Muhammad Zulkarnain Abd Rahman, Zamri Ismail, Mohd Faisal Abdul Khanan, Huey Tam Tze, Ismaila Usman Kaoje, Mohamad Jahidi Osman, and Mohd Asraff Asmadi. "SUPPORT VECTOR MACHINE FOR LANDSLIDE ACTIVITY IDENTIFICATION BASED ON VEGETATION ANOMALIES INDICATOR." Journal of Information System and Technology Management 7, no. 25 (March 7, 2022): 148–58. http://dx.doi.org/10.35631/jistm.725012.
Abstract:
Landslide activity identification is critical for landslide inventory mapping. A detailed landslide inventory map is highly required for various purposes such as landslide susceptibility, hazard, and risk assessments. This paper proposes a novel approach based on vegetation anomalies indicator (VAI) and applying machine learning method namely support vector machine (SVM) to identify status of natural-terrain landslides. First, high resolution airborne LiDAR data and satellite imagery were used to derive landslide-related VAIs, including tree height irregularities, canopy gap, density of different layer of vegetation, vegetation type, vegetation indices, root strength index (RSI), and distribution of water-loving trees. Then, SVM is utilized with different setting of parameter using grid search optimization. SVM Radial Basis Function (RBF) recorded the best optimal pair value with 0.062 and 0.092 misclassification rate for deep seated and shallow translational landslide, respectively. For landslide activity classification, SVM RBF recorded the best accuracy value for both deep seated and shallow translational landslides with 86.0 and 71.3, respectively. Overall, VAIs have great potential in tackling the landslide activity identification problem especially in tropical vegetated area.
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Dyderski, Marcin K., and Andrzej M. Jagodziński. "Context-Dependence of Urban Forest Vegetation Invasion Level and Alien Species’ Ecological Success." Forests 10, no. 1 (January 3, 2019): 26. http://dx.doi.org/10.3390/f10010026.
Abstract:
Research Highlights: Urban ecosystems are claimed to be more invaded than natural vegetation. Despite numerous studies, the patterns of alien species occurrence in urban forests are rarely linked to invasion ecology hypotheses. Background and Objectives: We assumed that patterns of invasion level (i.e., neophyte richness) and neophyte ecological success (cover) are context-dependent, i.e., depend on the type of vegetation, and that hypotheses connected with empty niche and biotic acceptance will have the strongest support in urban forests. We also tested biotic resistance, habitat filtering, disturbance, resource availability, and environmental heterogeneity hypotheses. Materials and Methods: Using a random forest algorithm, we tested the importance of factors related to invasion ecology hypotheses in a dataset of urban forest vegetation plots (n = 120). We studied seven types of forest plant communities occurring in Poznań (W Poland) and we assessed the vegetation’s taxonomic and functional composition. Results: We found that models of alien species richness and cover explained 28.5% and 35.0% of variance, respectively. Vegetation type was of the highest importance in both cases, suggesting that the occurrence of alien plant species is context-dependent. Resource availability and disturbance ecological indicator values were also of high importance. Conclusions: Our study supported resource availability and habitat filtering hypotheses as explanations of the level of invasion and ecological success of alien species in an urban forest, with partial support for the disturbance hypothesis. Our study revealed that predictors of invasion level are context-dependent, as patterns of alien species richness and cover differed among vegetation types. We highlight context-dependence of alien species invasion patterns in different vegetation types due to the habitat-forming role of dominant tree species and different availability of resources and disturbance levels, as well as different pools of native species. Thus, prevention and management of biological invasions in urban forests should account for forest vegetation type.
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Woźniak, Gabriela, Damian Chmura, Teresa Nowak, Barbara Bacler-Żbikowska, Lynn Besenyei, and Agnieszka Hutniczak. "Post-Extraction Novel Ecosystems Support Plant and Vegetation Diversity in Urban-Industrial Landscapes." Sustainability 14, no. 13 (June 22, 2022): 7611. http://dx.doi.org/10.3390/su14137611.
Abstract:
Long-term exploitation of mineral resources has significantly changed the natural environment in urban-industrial landscapes. The changes on the surface of the extraction sites as a consequence of excavation of mineral resources provide specific mineral oligotrophic habitats on which plant species and thus vegetation can establish spontaneously. Some of these sites fulfill the prerequisites of novel ecosystems. This study was conducted on the spontaneous vegetation of post-extraction sites. Lists of species spontaneously covering these sites were prepared based on published data and our own records. This research revealed that species composition and vegetation types vary in time. These post-extraction novel ecosystems are also important for the presence of rare, endangered, and protected species noted in patches of different vegetation types. The variety of habitat conditions provided by these sites facilitates the occurrence of a wide spectrum of plants (both in terms of their socio-ecological origin and their ecological spectrum). This research proves how important these post-extraction novel ecosystems are for supporting plant and vegetation diversity in urban-industrial landscapes. Enhancing the biodiversity significantly increases the ecosystem services delivered by these sites and also the functioning of entire ecosystems. These natural processes on human habitats are essential in urban-industrial ecosystem landscape mosaics.
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Danin, Avinoam. "Flora and vegetation of Sinai." Proceedings of the Royal Society of Edinburgh. Section B. Biological Sciences 89 (1986): 159–68. http://dx.doi.org/10.1017/s026972700000899x.
Abstract:
SynopsisMost of Sinai belongs to the Saharo-Arabian phytogeographical region. It is covered with a sparse vegetation of semishrubs, restricted to wadis or growing on slopes of rocky hills and in sand fields. The high mountains of southern Sinai support a mainly Irano-Turanian steppe vegetation. Smooth-faced rock outcrops supply sufficient run-off water to permit the survival of trees, shrubs, many relict species, and most of the endemics of Sinai. There are 28 endemic species in Sinai, of which 25 occur in the mountainous districts of Sinai. The foothills of eastern Sinai and the coastal area of the Gulf of Elat have a savanna-like vegetation and support thermophilous Sudanian trees and shrubs in wadis and rock crevices.
Dissertations / Theses on the topic "Vegetation support":
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Ch'ng, Eugene. "Developing artificial life simulations of vegetation to support the virtual reconstruction of ancient landscapes." Thesis, University of Birmingham, 2007. http://etheses.bham.ac.uk//id/eprint/262/.
Abstract:
Research in Virtual Heritage has gained popularity in recent years. Efforts by the community of Virtual Heritage researchers to reconstruct sites considered worthy of preservation span from the historical “built environment”, including the Pyramids at Ghiza and Virtual Reality Notre Dame, to natural heritage sites such as Australia’s Great Barrier Reef and the Virtual Everglades at Florida. Other important efforts to conserve artefacts and educate visitors include Virtual Stonehenge, Pompeii and the Caves of Lascaux. Entire villages, cities and even caves have been constructed as part of virtual conservation efforts. These digital reconstructions have, to date, contributed significant awareness and interest among the general public, providing educational benefits to schoolchildren and new research opportunities to archaeologists and conservationists, to mention but two groups of beneficiaries. Today, to paraphrase the work of Professor Robert J. Stone, Virtual Heritage strives to deliver to a global audience, computer-based reconstructions of artefacts, sites and actors of historic, artistic, religious and cultural heritage in such a way as to provide formative educational experience through the manipulations of time and space. It is realised that the user experience and educational value of a Virtual Heritage site is crucial – the process of virtual reconstruction is as important as its outcome. The total experience therefore, hinges on the modelling accuracy, scientific credibility, and the interactive visualisation capability of a virtual site. However, many interactive media implementations in Virtual Heritage in the recent past have failed to make full use of the advanced interactive visualisation techniques available to researchers. In particular, an element that many end users might consider essential, namely the inclusion of “living” and responsive virtual agents are noticeably lacking in most all Virtual Heritage examples. The addition of these ‘living’ entities and environments could give Virtual Heritage applications a richer, more evolvable content, and a higher level of interactivity. Artificial Life (alife), an emerging research area dealing with the study of synthetic systems that exhibit behaviours characteristic of natural living systems, offers great potential in overcoming this missing element in current Virtual Heritage applications. The present research investigates the feasibility of constructing models of vegetation, exploiting new developments in Artificial Life implemented within a controlled Virtual Environment for application in the field of Archaeology. The specific area of study is the recently discovered and recently named Shotton river valley off the eastern coast of the United Kingdom – a region that once flourished during the Mesolithic Era prior to the post-glacial flooding of the North Sea.
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Schmidt, Johannes Matthias [Verfasser], and S. [Akademischer Betreuer] Schmidtlein. "Remote sensing in support of conservation and management of heathland vegetation / Johannes Matthias Schmidt ; Betreuer: S. Schmidtlein." Karlsruhe : KIT-Bibliothek, 2017. http://d-nb.info/1144367670/34.
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Galgamuwe, Arachchige Pabodha Galgamuwa. "Ecological restoration of an oak woodland in Kansas informed with remote sensing of vegetation dynamics." Diss., Kansas State University, 2017. http://hdl.handle.net/2097/38196.
Abstract:
Doctor of PhilosophyDepartment of Horticulture, Forestry, and Recreation Resources
Charles J. Barden
Recurrent, landscape-level fires played an integral part in the development and persistence of eastern oak (Quercus spp.) forests of the United States. These periodic surface fires helped secure a competitive position for oaks in the regeneration pool by maintaining a desirable species composition and forest structure. This historical fire regime was altered with the European settlement of North America, and fire suppression within forestlands became a standard practice since 1930s. With decades of fire suppression, mature oak-dominated woodlands have widely converted to shade-tolerant tree species. Prescribed fire has successfully been used to enhance oak regeneration in eastern forests. However, oak woodland restoration within the forest-prairie ecotone of the Central plains has not been systematically studied. Fuel beds under shade-tolerant species are often less conducive to fire. Therefore, monitoring fuel loading (FL) and its changes are essential to inform management decisions in an oak regeneration project. Rapid expansion of eastern redcedar (Juniperus virginiana/ERC) is another ecological issue faced by land managers throughout North America’s midcontinent forest-prairie ecotone. Hence, it is worthy to monitor ERC expansion and effects on deciduous forests, to inform oak ecosystem restoration interventions within this region. Therefore, the main objectives of this dissertation were three-fold: (1) understand the effects of prescribed burning and mechanical thinning to encourage oak regeneration; (2) investigate the initial effects of an oak regeneration effort with prescribed fire and mechanical thinning on FL; and (3) monitor the spatio-temporal dynamics of ERC expansion in the forest-prairie ecotone of Kansas, and understand its effects on deciduous forests. The first two studies were conducted on a 90-acre oak dominated woodland, north of Manhattan, Kansas. The experimental design was a 2 (burn) x 2 (thin) factorial in a repeated measures design. The design structure allowed four treatment combinations: burn only (B), thin only (T), burn and thin combined (BT), and a control (C). Burning and thinning treatments were administered in spring 2015. Changes in the FL estimates after the burn treatment revealed that the BT treatment combination consumed more fuel and burned more intensely compared to the B treatment. This observation was reflected in vegetation responses. The thinning reduced the canopy cover significantly, but under enhanced light environments, both oaks and competitive species thrived when no burn was incorporated. In contrast, burn treatments controlled the competitive vegetation. Hence, the most promising results were obtained when both fire and thinning were utilized. The remote sensing study documented the expansion of ERC in three areas of eastern Kansas over 30 years. The use of multi-seasonal layer-stacks with a Support Vector Machines (SVM) supervised classification was found to be the most effective approach to map ERC distribution. Total ERC cover increased by more than 6000 acres in all three study areas investigated in this study between 1986 and 2017. Much of the ERC expansion was into deciduous woodlands. Therefore, ERC control measures should be incorporated into oak woodland restoration efforts within the forest-prairie ecotone of Kansas.
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Rains, Mark Cable. "Surface and ground-water origins and interactions and vegetation distributions in riverine and reservoir-fringe systems : a case study in support of reservoir management efforts /." For electronic version search Digital dissertations database. Restricted to UC campuses. Access is free to UC campus dissertations, 2002. http://uclibs.org/PID/11984.
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Barreto-Munoz, Armando. "Multi-Sensor Vegetation Index and Land Surface Phenology Earth Science Data Records in Support of Global Change Studies: Data Quality Challenges and Data Explorer System." Diss., The University of Arizona, 2013. http://hdl.handle.net/10150/301661.
Abstract:
Synoptic global remote sensing provides a multitude of land surface state variables. The continuous collection, for more than 30 years, of global observations has contributed to the creation of a unique and long term satellite imagery archive from different sensors. These records have become an invaluable source of data for many environmental and global change related studies. The problem, however, is that they are not readily available for use in research and application environment and require multiple preprocessing. Here, we looked at the daily global data records from the Advanced Very High Resolution Radiometer (AVHRR) and the Moderate Resolution Imaging Spectroradiometer (MODIS), two of the most widely available and used datasets, with the objective of assessing their quality and suitability to support studies dealing with global trends and changes at the land surface. Findings show that clouds are the major data quality inhibitors, and that the MODIS cloud masking algorithm performs better than the AVHRR. Results show that areas of high ecological importance, like the Amazon, are most prone to lack of data due to cloud cover and aerosols leading to extended periods of time with no useful data, sometimes months. While the standard approach to these challenges has been compositing of daily images to generate a representative map over a preset time periods, our results indicate that preset compositing is not the optimal solution and a hybrid location dependent method that preserves the high frequency of these observations over the areas where clouds are not as prevalent works better. Using this data quality information the Vegetation Index and Phenology (VIP) Laboratory at The University of Arizona produced over 30 years of seamless sensor independent record of vegetation indices and land surface phenology metrics. These data records consist of 0.05-degree resolution global images for daily, 7-days, 15-days and monthly temporal frequency. These sort of remote sensing based products are normally made available through the internet by large data centers, like the Land Processes Distributed Active Archive Center (LP DAAC), however, in this project an online tool, the VIP Data Explorer, was developed to support the visualization, exploration, and distribution of these Earth Science Data Records (ESDRs) keeping it closer to the data generation center which provides a more active data support and distribution model. This web application has made it possible for users to explore and evaluate the products suite before download and use.
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Vinet, Jérôme. "Contribution a la modelisation thermo-aeraulique du microclimat urbain. Caracterisation de l'impact de l'eau et de la vegetation sur les conditions de confort en espaces exterieurs." Nantes, 2000. http://portaildocumentaire.citechaillot.fr/search.aspx?SC=theses&QUERY=cour+ouverte#/Detail/%28query:%28Id:%270_OFFSET_0%27,Index:1,NBResults:1,PageRange:3,SearchQuery:%28CloudTerms:!%28%29,ForceSearch:!t,Page:0,PageRange:3,QueryString:vinet,ResultSize:10,ScenarioCode:theses,ScenarioDisplayMode:display-standard,SearchLabel:%27%27,SearchTerms:vinet,SortField:!n,SortOrder:0,TemplateParams:%28Scenario:%27%27,Scope:%27%27,Size:!n,Source:%27%27,Support:%27%27%29%29%29%29.
Abstract:
Les grandes villes, en periode estivale, developpent de plus en plus frequemment certains problemes lies au phenomenes d'ilot de chaleur urbain, comme les pics de pollution et la surconsommation energetique due a la climatisation. La mineralisation des villes, en remplacant la vegetation et les zones humides par du beton et de l'asphalte contribue a ces nuisances. Notre objectif est alors de determiner l'impact de la vegetation et des bassins ou jets d'eau sur le microclimat urbain et sur les situations de confort thermique ressenties par un individu. Cette etude fait appel aux techniques de modelisation numerique. Dans la premiere partie, une importante synthese bibliographique permet de faire le point sur des domaines aussi varies que la microclimatologie urbaine, la simulation, l'urbanisme, l'arboriculture et le confort thermique en espace exterieur. Ces informations sont utiles lors de la mise en uvre et de l'interpretation des simulations envisagees. Dans la deuxieme partie, nous detaillons la realisation d'un couplage thermo-aeraulique, base sur deux outils numeriques, solene (logiciel d'ensoleillement et de thermique developpe par le cerma) et n3s (code de mecanique des fluides, developpe par edf). Ce couplage necessite le developpement de programmes specifiques et de procedures d'interfacage. Des elements de validation sur des etudes de cas referencees, ainsi qu'une comparaison avec des mesures in-situ sont presentes. L'application de cette demarche a une etude de cas urbaine, la place du millenaire du quartier antigone a montpellier, permet d'analyser l'impact de la vegetation sur le microclimat urbain et les conditions de confort en espace exterieur. La comparaison de trois situations, l'une sans vegetation, l'autre avec la vegetation actuelle et la derniere avec une vegetation a taille adulte, demontre une evolution notable au cours de annees des conditions microclimatiques et une amelioration sensible des situations de confort.
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Hostyn, Guillaume. "Contribution des fractions granulométriques grossières au fonctionnement des sols très anthropisés." Electronic Thesis or Diss., Université de Lorraine, 2022. http://www.theses.fr/2022LORR0088.
Abstract:
Les approches de requalification de sites dégradés répondent de plus en plus à un double enjeu de dépollution et de valorisation. Les sols de ces sites, dits « sols très anthropisés », sont très souvent caractérisés par un fonctionnement dégradé lié aux processus anthropo-génétiques à l'œuvre dans ces contextes. Ces processus sont à l'origine de la présence dans ces sols de matériaux exogènes technogéniques ou naturels en quantités et natures variées. Dans ce contexte, les études et réflexions sur leur gestion s'effectuent classiquement sur la fraction fine, obtenue après tamisage à 2 mm, et laisse de côté la fraction dite « grossière », souvent surreprésentée (jusqu'à 50-60 % en masse). Or cette fraction, souvent considérée comme inerte, ne l'est pas nécessairement et sa présence peut éventuellement orienter le fonctionnement des écosystèmes et leur gestion future. Une approche méthodologique a alors été développée grâce à laquelle les dimensions et la nature des objets à étudier ont été précisément définis à travers l'utilisation d'une échelle granulométrique adaptée et la construction d'une typologie. Le couplage de cette approche à des caractérisations physico-chimiques a démontré la capacité de discrimination de la stratégie de tri mise en œuvre. La typologie a ainsi pu être amendées avec les informations liées aux composés caractéristiques des catégories de matériaux identifiées. Sur cette base, cinq matériaux modèles (anthracite, brique, calcaire, coke de pétrole et laitier de haut fourneau) ont été sélectionnés afin d'aider à la généralisation des résultats. Un processus d'adaptation des méthodes standardisées d'analyses de sol a alors été développé afin d'évaluer la réactivité des fractions granulométriques grossières. Ces dernières ne sont pas inertes et leur réactivité, bien qu'elle soit réduite par rapport à la fraction fine d'un point de vue massique, est uniquement dépendante du type de matériau et de la surface des particules. Pris seuls, les matériaux modèles sélectionnés présentent un niveau de fertilité insuffisant pour le développement du végétal et ne sont que marginalement à l'origine d'une toxicité. Ces résultats indiquent, qu'au sein du sol, les fractions grossières constituent un stock pérenne d'éléments mobilisables dans le temps à travers le processus d'altération mis en jeu par la pédogenèse. Ceci a été confirmé avec des essais de culture de végétaux sur des substrats à la formulation originale associant fractions grossières, fractions fines et matériaux inertes en conditions contrôlées en laboratoire et en lysimètres à l'échelle pilote de terrain. La contribution directe des fractions grossières à l'alimentation de la solution du sol en éléments puis à la nutrition minérale des végétaux est mise en évidence à court et à moyen termes. Ces fractions jouent également un rôle majeur dans le fonctionnement hydrique du sol en contribuant significativement à la rétention, au stockage de l'eau et à la libération d'éléments. Le type de matériau apparaît être le facteur principal gouvernant l'intensité de ces effets. Ces travaux de thèse ont ainsi permis de replacer les fractions granulométriques grossières dans un rôle actif dans le fonctionnement et l'évolution des sols très anthropisés. Les résultats obtenus apportent des connaissances nouvelles pour le génie pédologique et les acteurs de la gestion des sols très anthropisés. A cet effet, une procédure systématique de diagnostic des fractions granulométriques grossières a été proposée dont les effets doivent servir deux objectifs, i) enrichir les connaissances liées aux constituants des fractions grossières et ii) permettre une prise de décision éclairée, basée sur une connaissance plus complète du contenu d'un sol très anthropisé, autorisant une meilleure gestion en fonction du type de renaturation viséeThe approaches of requalification of degraded sites increasingly answer the double challenge of depollution and valorization. The soils of these sites, known as "highly anthropized soils", are often characterized by a disturbed functioning due to anthropogenetic impacts. In particular, anthropic actives are responsible for the presence in these soils of exogenous materials, from both technogenic or natural origins, in varying quantities and natures. In this context, all the diagnoses and considerations regarding their management are carried out on the fine fraction, obtained after sieving at 2 mm, and ignore the so-called "coarse" fraction, which is often overrepresented (up to 50-60% by mass). This fraction, considered as inert, may not necessarily be so and its presence may have important consequences on the functioning of ecosystems and their future management.A dedicated methodological approach was developed. First, the dimensions and nature of the objects to be studied were precisely defined using an appropriate granulometric scale and the construction of a typology. This approach coupled to physico-chemical characterizations confirmed the efficiency of the tested screening strategy and fully enabled a precise and meaningful discrimination among coarse materials. The typology was thus implemented with composition characteristics of the material categories. On this basis, five reference materials (anthracite, brick, limestone, petroleum coke and blast furnace slag) were selected in order to allow for the generalization of the results. An adaptation process of standard soil analysis methods was then developed in order to assess the reactivity of coarse granulometric fractions. Results showed that coarse fractions are not inert. Their reactivity, although reduced compared to the fine fraction from a mass point of view, is only dependent on the type of material and the surface of the particles. Taken alone, the selected model materials present an insufficient level of fertility for plant development and are only marginally at the origin of toxicity. In an overall soil system, the coarse fraction constitutes a perennial stock of elements of interest that can be mobilized over time through the weathering processes generated by pedogenesis. The direct contribution of coarse fractions to plant nutrition was confirmed both under controlled conditions in the laboratory and in lysimeters at the pilot field scale. They also significantly contribute to water retention and storage. The type of material is the main factor governing the intensity of these effects.This thesis work has thus positioned the coarse granulometric fractions as being an active part of the functioning of highly anthropized soils. The results obtained provide new knowledge for stakeholders involved in soil engineering and highly anthropized soils management. To this end, a systematic procedure of diagnosis of coarse granulometric fractions has been proposed, the effects of which should serve two purposes, i) to enrich the knowledge related to the constituents of coarse fractions and ii) to allow an insightful decision-making process, based on a complete knowledge of the reality of a highly anthropized soil, authorizing an optimal and sensible management according to the targeted type of renaturation
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Fehmi, Jeffrey S. "Research note: A rock mulch layer supported little vegetation in an arid reclamation setting." TAYLOR & FRANCIS INC, 2017. http://hdl.handle.net/10150/627088.
Abstract:
Adding a surface rock layer (also called rock armor or rock mulch) to constructed slopes improves erosion resistance but has had mixed effects on revegetation. This study investigated the effects of rock layer depth (no rocks, 10-, 15-, and 20-cm rock layers) and rock size (5-20cm diameter rocks) on vegetation cover. Seeding was applied four times in the first 2 years. After 3 years, plots with a rock layer averaged 7% vegetative cover compared to 85% on plots without a rock layer. There was a nonsignificant trend toward less vegetation with a deeper rock layer.
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Zadeh, Saman Akbar. "Application of advanced algorithms and statistical techniques for weed-plant discrimination." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2020. https://ro.ecu.edu.au/theses/2352.
Abstract:
Precision agriculture requires automated systems for weed detection as weeds compete with the crop for water, nutrients, and light. The purpose of this study is to investigate the use of machine learning methods to classify weeds/crops in agriculture. Statistical methods, support vector machines, convolutional neural networks (CNNs) are introduced, investigated and optimized as classifiers to provide high accuracy at high vehicular speed for weed detection.
Initially, Support Vector Machine (SVM) algorithms are developed for weed-crop discrimination and their accuracies are compared with a conventional data-aggregation method based on the evaluation of discrete Normalised Difference Vegetation Indices (NDVIs) at two different wavelengths. The results of this work show that the discrimination performance of the Gaussian kernel SVM algorithm, with either raw reflected intensities or NDVI values being used as inputs, provides better discrimination accuracy than the conventional discrete NDVI-based aggregation algorithm.
Then, we investigate a fast statistical method for CNN parameter optimization, which can be applied in many CNN applications and provides more explainable results. This study specifically applies Taguchi based experimental designs for network optimization in a basic network, a simplified inception network and a simplified Resnet network, and conducts a comparison analysis to assess their respective performance and then to select the hyper parameters and networks that facilitate faster training and provide better accuracy. Results show that, for all investigated CNN architectures, there is a measurable improvement in accuracy in comparison with un-optimized CNNs, and that the Inception network yields the highest improvement (~ 6%) in accuracy compared to simple CNN (~ 5%) and Resnet CNN counterparts (~ 2%).
Aimed at achieving weed-crop classification in real-time at high speeds, while maintaining high accuracy, the algorithms are uploaded on both a small embedded NVIDIA Jetson TX1 board for real-time precision agricultural applications, and a larger high throughput GeForce GTX 1080Ti board for aerial crop analysis applications. Experimental results show that for a simplified CNN algorithm implemented on a Jetson TX1 board, an improvement in detection speed of thirty times (60 km/hr) can be achieved by using spectral reflectance data rather than imaging data. Furthermore, with an Inception algorithm implemented on a GeForce GTX 1080Ti board for aerial weed detection, an improvement in detection speed of 11 times (~2300 km/hr) can be achieved, while maintaining an adequate detection accuracy above 80%. These high speeds are attained by reducing the data size, choosing spectral components with high information contents at lower resolution, pre-processing efficiently, optimizing the deep learning networks through the use of simplified faster networks for feature detection and classification, and optimizing computational power with available power and embedded resources, to identify the best fit hardware platforms.
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Märten, Arno [Verfasser], Georg [Gutachter] Büchel, and Erika [Gutachter] Kothe. "The influence of silver birch vegetation on the metal availability in mining affected substrate and mycorrhiza-supported tree metal tolerance : an attempt of a holistic view on the system substrate-fungi-tree / Arno Märten ; Gutachter: Georg Büchel, Erika Kothe." Jena : Friedrich-Schiller-Universität Jena, 2017. http://d-nb.info/1177594587/34.
Books on the topic "Vegetation support":
1
1954-, Peterson David L., and Pacific Northwest Research Station (Portland, Or.), eds. A consumer guide: Tools to manage vegetation and fuels. Portland, OR: U.S. Dept. of Agriculture, Forest Service, Pacific Northwest Research Station, 2007.
2
California. Air Resources Board. Research Division., ed. Effects of ozone on vegetation and possible alternative ambient air quality standards: Technical support document. Sacramento, Calif. (P.O. Box 2815, Sacramento 95812): State of California, Air Resources Board, 1987.
3
C, Yorio N., Vivenzio H. R, and United States. National Aeronautics and Space Administration., eds. Protocol development for the NASA-JSC Lunar-Mars Life Support Test Project (LMLSTP), phase III project: A report on baseline studies at KSC for continuous salad production. [Washington, D.C: National Aeronautics and Space Administration, 1998.
4
L, Caplan Arthur, McCartney James J, and Sisti Dominic A, eds. The case of Terri Schiavo: Ethics at the end of life. Amherst, NY: Prometheus Books, 2006.
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Shepherd, Lois L. If that ever happens to me: Making life and death decisions after Terri Schiavo. Chapel Hill: University of North Carolina Press, 2009.
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(Editor), Gerrit W. Heil, Bart Muys (Editor), and Karin Hansen (Editor), eds. Environmental Effects of Afforestation in North-Western Europe: From Field Observations to Decision Support (Plant and Vegetation). Springer, 2007.
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Holmes, Jonathan, and Philipp Hoelzmann. The Late Pleistocene-Holocene African Humid Period as Evident in Lakes. Oxford University Press, 2017. http://dx.doi.org/10.1093/acrefore/9780190228620.013.531.
Abstract:
From the end of the last glacial stage until the mid-Holocene, large areas of arid and semi-arid North Africa were much wetter than present, during the interval that is known as the African Humid Period (AHP). During this time, large areas were characterized by a marked increase in precipitation, an expansion of lakes, river systems, and wetlands, and the spread of grassland, shrub land, and woodland vegetation into areas that are currently much drier. Simulations with climate models indicate that the AHP was the result of orbitally forced increase in northern hemisphere summer insolation, which caused the intensification and northward expansion of the boreal summer monsoon. However, feedbacks from ocean circulation, land-surface cover, and greenhouse gases were probably also important.Lake basins and their sediment archives have provided important information about climate during the AHP, including the overall increases in precipitation and in rates, trajectories, and spatial variations in change at the beginning and the end of the interval. The general pattern is one of apparently synchronous onset of the AHP at the start of the Bølling-Allerød interstadial around 14,700 years ago, although wet conditions were interrupted by aridity during the Younger Dryas stadial. Wetter conditions returned at the start of the Holocene around 11,700 years ago covering much of North Africa and extended into parts of the southern hemisphere, including southeastern Equatorial Africa. During this time, the expansion of lakes and of grassland or shrub land vegetation over the area that is now the Sahara desert, was especially marked. Increasing aridity through the mid-Holocene, associated with a reduction in northern hemisphere summer insolation, brought about the end of the AHP by around 5000–4000 years before present. The degree to which this end was abrupt or gradual and geographically synchronous or time transgressive, remains open to debate. Taken as a whole, the lake sediment records do not support rapid and synchronous declines in precipitation and vegetation across the whole of North Africa, as some model experiments and other palaeoclimate archives have suggested. Lake sediments from basins that desiccated during the mid-Holocene may have been deflated, thus providing a misleading picture of rapid change. Moreover, different proxies of climate or environment may respond in contrasting ways to the same changes in climate. Despite this, there is evidence of rapid (within a few hundred years) termination to the AHP in some regions, with clear signs of a time-transgressive response both north to south and east to west, pointing to complex controls over the mid-Holocene drying of North Africa.
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Swan, Michael, and Simon Watharow. Snakes, Lizards and Frogs of the Victorian Mallee. CSIRO Publishing, 2005. http://dx.doi.org/10.1071/9780643093119.
Abstract:
The Victorian Mallee region encompasses the Little Desert, the Big Desert, the Sunset Country and the Hattah-Kulkyne. Each area is unique and with different topography, vegetation and fauna. The region experiences consistently higher temperatures, lower rainfall and contains a greater diversity of reptiles than any other part of the state.
Snakes, Lizards and Frogs of the Victorian Mallee represents the first comprehensive publication on the herpetofauna of the region. It covers 56 species that inhabit the area as well as a further 24 species occurring in fringe riverine and woodland systems. The reader is able to identify species by means of a photograph supported by a distribution map, a diagnostic features key and descriptive species accounts.
The book includes a discussion of venomous snakes, information on first aid for snakebites, and hints for snake prevention around the house.
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Palmer, Grant. Wildlife of the Otways and Shipwreck Coast. CSIRO Publishing, 2019. http://dx.doi.org/10.1071/9781486308996.
Abstract:
The Otways and Shipwreck Coast is known for its natural beauty and attracts millions of visitors each year, particularly along the Great Ocean Road. The value of the region's rich biodiversity is recognised at the national and global level and its wildlife is markedly different to other regions, including eastern Victoria which supports similar vegetation types.
Wildlife of the Otways and Shipwreck Coast is a photographic field guide to the vertebrate wildlife of Victoria’s south-west. It covers all the mammals, birds, reptiles and frogs that occur in the region, including on land and in coastal waters. Each of the 288 species profiles includes a description and information on identification, range, conservation status, habitat use and ecology and is complemented by an exquisite colour photograph and a detailed distribution map. The book also includes chapters on habitat types, conservation and management, and on 14 key places in the region to view wildlife.
This book will allow those interested in wildlife, including residents and visitors, to identify vertebrate animals found in the region. Readers will also become more familiar with the distinct role the Otways has in conserving Australia’s biodiversity.
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Armstrong, Rebecca. Vergil's Green Thoughts. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780199236688.001.0001.
Abstract:
The Eclogues, Georgics, and Aeneid abound with plants, yet much Vergilian criticism underestimates their significance beyond attractive background detail or the occasional symbolic set-piece. This work joins the growing field of nature-centred studies of literature, looking head-on at Vergil’s plants and trees to reveal how fundamental they are to an understanding of the poet’s outlook on religion, culture, and mankind’s place within the world. The first half of the book explores the religious and more diffusely numinous aspects of Vergil’s plants, from awe–inspiring sacred groves to divinely promoted fields of corn, showing how both cultivated and uncultivated plants fit within and help to shape the complex landscape of Vergilian (and, more broadly, Roman) religious thought. In the second half, the focus moves to human interactions with plants from the perspectives of both cultivation and relaxation, exploring the love–hate relationship with vegetation which sometimes supports and sometimes contests the human self-image as the world’s dominant species. Combining a series of close readings of a wide range of passages with the identification of broader patterns of association, this book reveals and celebrates the complexity and variety of Vergilian flora.
Book chapters on the topic "Vegetation support":
1
Ambadkar, Abhijeet, Pranali Kathe, Chaitanya B. Pande, and Pranaya Diwate. "Assessment of Spatial and Temporal Changes in Strength of Vegetation Using Normalized Difference Vegetation Index (NDVI) and Enhanced Vegetation Index (EVI): A Case Study from Akola District, Central India." In Geospatial Technology to Support Communities and Policy, 289–304. Cham: Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-52561-2_16.
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Orlóci, L. "Statistics in Ecosystem Survey: Computer Support for Process-Based Sample Stability Tests and Entropy/Information Inference." In Computer assisted vegetation analysis, 47–57. Dordrecht: Springer Netherlands, 1991. http://dx.doi.org/10.1007/978-94-011-3418-7_5.
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Scheiter, Simon, Mirjam Pfeiffer, Kai Behn, Kingsley Ayisi, Frances Siebert, and Anja Linstädter. "Managing Southern African Rangeland Systems in the Face of Drought: A Synthesis of Observation, Experimentation and Modeling for Policy and Decision Support." In Sustainability of Southern African Ecosystems under Global Change, 439–70. Cham: Springer International Publishing, 2024. http://dx.doi.org/10.1007/978-3-031-10948-5_16.
Abstract:
AbstractSavanna rangelands cover large areas of southern Africa. They provide ecosystem functions and services that are essential for the livelihoods of people. However, intense land use and climate change, particularly drought, threaten biodiversity and ecosystem functions of savanna rangelands. Understanding how these factors interact is essential to inform policymakers and to develop sustainable land-use strategies. We applied three different approaches to understand the impacts of drought and grazing on rangeland vegetation: observations, experimentation and modeling. Here, we summarize and compare the main results from these approaches. Specifically, we demonstrate that all approaches consistently show declines in biomass and productivity in response to drought periods, as well as changes in community composition toward annual grasses and forbs. Vegetation recovered after drought periods, indicating vegetation resilience. However, model extrapolation until 2030 showed that vegetation attributes such as biomass and community composition did not recover to values simulated under no-drought conditions during a ten-year period following the drought. We provide policy-relevant recommendations for rangeland management derived from the three approaches. Most importantly, vegetation has a high potential to regenerate and recover during resting periods after disturbance.
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Idegomori, Junsei, Masahiro Migita, Masashi Toda, and Hideki Akino. "Development of an Algae Counting Application to Support Vegetation Surveys in Fishing Grounds." In Communications in Computer and Information Science, 93–105. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-81638-4_8.
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Mickovski, Slobodan B., and L. P. H. van Beek. "Decision support systems in eco-engineering: the case of the SDSS." In Eco-and Ground Bio-Engineering: The Use of Vegetation to Improve Slope Stability, 361–67. Dordrecht: Springer Netherlands, 2007. http://dx.doi.org/10.1007/978-1-4020-5593-5_36.
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Qamer, Faisal Mueen, Mir A. Matin, Ben Zaitchik, Kiran Shakya, Yi Fan, Nishanta Khanal, Walter Lee Ellenburg, et al. "A Regional Drought Monitoring and Outlook System for South Asia." In Earth Observation Science and Applications for Risk Reduction and Enhanced Resilience in Hindu Kush Himalaya Region, 59–78. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-73569-2_4.
Abstract:
AbstractThe Regional Drought Monitoring and Outlook System (RDMOS) is an operational service which produces reliable drought indicators for the south Asia region with a specific focus on Afghanistan, Bangladesh, Nepal, and Pakistan. The system incorporates climatic models with suitable Earth observation data and land surface models to produce drought indices—precipitation, temperature, soil moisture, evapotranspiration—and vegetation conditions at 10-day intervals for near realtime monitoring of droughts. The RDMOS also provides seasonal outlooks at four-month intervals to support drought management and preparedness processes.
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Șandric, Ionuț, Radu Irimia, George P. Petropoulos, Dimitrios Stateras, Dionissios Kalivas, and Alin Pleșoianu. "Drone Imagery in Support of Orchards Trees Vegetation Assessment Based on Spectral Indices and Deep Learning." In Springer Optimization and Its Applications, 233–48. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-84144-7_9.
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Chand, Bhim, Pawan Kumar Thakur, Renu Lata, Jagdish Chandra Kuniyal, and Vijay Kumar. "Assessment of Particulate Pollutants (PM10 and PM2.5), Its Relation with Vegetation Cover and Its Impacts on Apple Orchards in Kullu Valley, Himachal Pradesh, India." In Remote Sensing and Geographic Information Systems for Policy Decision Support, 283–97. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-7731-1_13.
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Marsh, Anne S., Deborah C. Hayes, Patrice N. Klein, Nicole Zimmerman, Alison Dalsimer, Douglas A. Burkett, Cynthia D. Huebner, et al. "Sectoral Impacts of Invasive Species in the United States and Approaches to Management." In Invasive Species in Forests and Rangelands of the United States, 203–29. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-45367-1_9.
Abstract:
AbstractInvasive species have a major effect on many sectors of the U.S. economy and on the well-being of its citizens. Their presence impacts animal and human health, military readiness, urban vegetation and infrastructure, water, energy and transportations systems, and indigenous peoples in the United States (Table 9.1). They alter bio-physical systems and cultural practices and require significant public and private expenditure for control. This chapter provides examples of the impacts to human systems and explains mechanisms of invasive species’ establishment and spread within sectors of the U.S. economy. The chapter is not intended to be comprehensive but rather to provide insight into the range and severity of impacts. Examples provide context for ongoing Federal programs and initiatives and support State and private efforts to prevent the introduction and spread of invasive species and eradicate and control established invasive species.
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Lukeš, Petr. "Monitoring of Bark Beetle Forest Damages." In Big Data in Bioeconomy, 351–61. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-71069-9_26.
Abstract:
AbstractIn this chapter, we present a multi-source remote sensing approach for country-wise monitoring of bark beetle calamity to support government decision making processes. In the first part, we describe the forest health monitoring system, which is based on the analysis of satellite big data–Sentinel-2 observations collected every five days. We propose an automated processing chain for high-quality cloud-free image synthesis for user-defined acquisition periods. Such a processing chain is applied to yield yearly cloud-free images of the entire Czech Republic from 2015 onwards. Based on this data, we assess forest health trends using Sentinel-2 derived vegetation indices and in situ data of forest status. Finally, we demonstrate the benefits of multi-source remote sensing for timely and objective mapping of bark beetle spread by combining several data sources, including planet high-resolution satellite data, Sentinel-2 forest health maps and other maps of forest conditions. Detected bark beetle sanitary logging and dead standing wood polygons are used by the Ministry of Agriculture of Czech Republic in their decision processes regarding the management of affected forest areas.
Conference papers on the topic "Vegetation support":
1
Rinaldi, M. "Decision Support Systems To Manage Water Resources At Irrigation District Level In Southern Italy Using Remote Sensing Information. An Integrated Project (AQUATER)." In EARTH OBSERVATION FOR VEGETATION MONITORING AND WATER MANAGEMENT. AIP, 2006. http://dx.doi.org/10.1063/1.2349334.
2
Sha, Zongyao, and Yongfei Bai. "Mapping grassland vegetation cover based on Support Vector Machine and association rules." In 2013 9th International Conference on Natural Computation (ICNC). IEEE, 2013. http://dx.doi.org/10.1109/icnc.2013.6817941.
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Meyer, Kirby T., and Dean Read. "Support Parameters for Slabs on Ground on Expansive Clay with Vegetation Considerations." In Shallow Foundation and Soil Properties Committee Sessions at ASCE Civil Engineering Conference 2001. Reston, VA: American Society of Civil Engineers, 2001. http://dx.doi.org/10.1061/40592(270)4.
4
Joshi, Kavita V., Dilip D. Shah, and Anupama Deshpande. "Application of Fusion Technique and Support Vector Machine for Identifying Specific Vegetation Type." In 2019 IEEE 5th International Conference for Convergence in Technology (I2CT). IEEE, 2019. http://dx.doi.org/10.1109/i2ct45611.2019.9033884.
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Berssenbrügge, Jan, Jörg Stöcklein, Andre Koza, and Iris Gräßler. "Procedural Generation of Vegetation for a Virtual Test Track." In ASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/detc2014-34891.
Abstract:
Advanced driver assistant systems (ADAS) are increasingly being tested during simulated test drives in a test and training environment based on a driving simulator, in order to reduce the number of extensive real test drives. The need for numerous virtual test drives in the driving simulator requires to model detailed and realistically appearing 3D models of real test tracks. A manual reproduction of real tracks is a cumbersome and time-intensive task. In previous work, we have introduced a method to create virtual test tracks with minimized manual effort using data from various sources, such as navigation systems, digital elevation models, aerial images, digital landscape models etc. [1]. However, these virtual test tracks still do not appear very realistic to the test driver, since no detailed vegetation was generated by that method. In this paper, we propose an approach to enrich a virtual terrain with authentic vegetation. The aim is to increase the perceived realism of the landscape, in order to provide the same input for the sensors of an ADAS under test in the driving simulator as on the real track. The requirement is to automate the vegetation generation as far as possible and to support real-time rendering of the generated very complex 3D model, which is crucial for a usable sensor feed. The basis for the generation of vegetation in this work is data from digital landscape models. These data define where areas like woodlands and agricultural zones are located in geographic coordinates. These areas are refined by a color detection, which is applied to the corresponding aerial images, in order to identify various tree and plant species. Based on the application of a procedural rule system the actual plants are then placed in the refined areas. The rule system imitates the natural growth behavior of plants and is based on terrain characteristics like gradient, direction of a slope, or competition for resources. By combining terrain data, color detection on aerial images, and procedural rules, a planting method is developed to generate natural looking vegetation. The implementation prototype of our approach, based on the Unity3D game engine, which supports an easy creation of complex sceneries, showed that it is possible to create vegetation for a virtual test track with minimal manual effort. By placing vegetation at realistic locations, considering natural spread of plants, the perceived realism of the scene was improved. A performance analysis showed that even with the generated vegetation, interactive frame rates are achievable.
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Souza, Igor Pimentel Gusmão Fragôso de, José Italo Alves da Silva, Mycaell de Oliveira Carneiro, Tiago Brasileiro Araújo, and Jose Gomes Lopes Filho. "A Mobile Application to Support Decision-Making in the Context of Forest Fires." In Simpósio Brasileiro de Sistemas de Informação. Sociedade Brasileira de Computação (SBC), 2022. http://dx.doi.org/10.5753/sbsi_estendido.2022.222118.
Abstract:
The increasing number of forest fires in Brazil, allied to the difficulty of fire fighting in vegetation areas, becomes a motivation to apply technological resources to support the fire fighting in forest areas. Therefore, this work proposes the development of software able to collect data from different data sources and provide useful information to fire brigades, supporting the strategic planning as well as assisting the firefighters involved in fire fighting.
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Lou, Yunling, Scott Hensley, Brian Hawkins, Cathleen Jones, Marco Lavalle, Thierry Michel, Delwyn Moller, et al. "Uavsar program: Recent upgrades to support vegetation structure studies and land ICE topography mapping." In 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). IEEE, 2017. http://dx.doi.org/10.1109/igarss.2017.8128350.
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Vercruysse, Joachim, and Greet Deruyter. "OPTIMISING VEGETATION-INPUT FOR DROUGHT ASSESSMENT WITH SENTINEL-2A DATA." In 22nd SGEM International Multidisciplinary Scientific GeoConference 2022. STEF92 Technology, 2022. http://dx.doi.org/10.5593/sgem2022/2.1/s10.40.
Abstract:
As a consequence of climate change, in some regions, more intense rain showers go hand in hand with longer dry periods. The subsequent more and more severe droughts can have devastating effects on many economic and social sectors. Therefore, it is necessary to be able to predict and assess the consequences of these droughts on a local scale, in order to develop policies to cope. Drought assessment needs a lot of detailed and accurate input-data, such as land use, land cover, soil moisture, vegetation, evapotranspiration, etc., often obtained by continuous earth monitoring by satellites. Satellite images are generally converted into indices, of which the Normalized Difference Vegetation Index (NDVI) is one of the most widely used. It was developed for use with Landsat imagery and allows for the classification of satellite images for land use and the assessment of the vegetation�s vitality. In this research, a new composite index is presented and compared to the NDVI to be used with Sentinel-2A imagery, having higher resolution and more spectral bands than Landsat. This new composite index can be used to detect water and vegetation. Test results show that this newly developed composite index achieves a better accuracy through Support Vector Machine (SVM) classification than the widely used NDVI. Although further validation is necessary, the results promise a possible amelioration of vegetation related input data for drought assessment and management.
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Chen, Liang, Youjing Zhang, and Bo Chen. "Support vector regression with genetic algorithms for estimating impervious surface and vegetation distributions using ETM+ data." In Geoinformatics 2007, edited by Weimin Ju and Shuhe Zhao. SPIE, 2007. http://dx.doi.org/10.1117/12.761250.
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Huisman, Otto, and Arash Gharibi. "Change Detection Within Pipeline ROWs: Environmental Change Analysis Using High Resolution Satellite Imagery." In ASME 2015 International Pipeline Geotechnical Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/ipg2015-8526.
Abstract:
One of the major concerns for pipeline operators is to efficiently monitor the events happening over the pipeline corridor, or right-of-way (ROW). Monitoring of the ROW is an important part of ensuring the safe and efficient transportation of oil and gas. Events occurring within this zone require rapid assessment and, if necessary, mitigation. These events could be physical intrusions such as encroachment from growing settlements, impact of vegetation, pipeline leakage or geo-environmental hazards. Analysis of satellite imagery can provide an efficient and low cost solution to access and quantify change across the ROW. Examining these events over a periodic interval requires implementation of specific methods that can support the on-going monitoring and decision making practices. In this context, satellite remote sensing images can provide a low cost and efficient solution for monitoring the physical and environmental impacts over the ROW of pipeline system. This paper reports on the development of a methodological approach for environmental change analysis using high resolution satellite images that can help decision making in pipeline systems. Analysis results and maps produced during this work provide an insight into landcover change over the study area and expected to support in on-going pipeline management practices. Two methods, Vegetation index differencing and post classification comparison have been implemented to identify change areas in the Taranaki region of the North Island of New Zealand. Vegetation index differencing with NDVI shows increase or decrease of overall vegetation within the study area. Special focus was given on large area increase and decrease with area threshold value above 0.2 hectare. Detailed analysis of change was conducted with post classification comparison method that uses land cover classification results of year 2010 and 2013. An overall change of 10% has been observed throughout the study area with large area change of approximately 5%. Results obtained from post classification comparison method were further analyzed with 6 focus areas and compared with the existing soil data and rainfall data. The methods adopted during this study are expected to provide a base for environmental change analysis in similar pipeline corridors to support decision making.
Reports on the topic "Vegetation support":
1
Peace, Gerald L., Timothy James Goering, Paul J. Knight, and Thomas S. Ashton. Vegetation study in support of the design and optimization of vegetative soil covers, Sandia National Laboratories, Albuquerque, New Mexico. Office of Scientific and Technical Information (OSTI), November 2004. http://dx.doi.org/10.2172/889427.
2
O'Neill, Francis, Kristofer Lasko, and Elena Sava. Snow-covered region improvements to a support vector machine-based semi-automated land cover mapping decision support tool. Engineer Research and Development Center (U.S.), November 2022. http://dx.doi.org/10.21079/11681/45842.
Abstract:
This work builds on the original semi-automated land cover mapping algorithm and quantifies improvements to class accuracy, analyzes the results, and conducts a more in-depth accuracy assessment in conjunction with test sites and the National Land Cover Database (NLCD). This algorithm uses support vector machines trained on data collected across the continental United States to generate a pre-trained model for inclusion into a decision support tool within ArcGIS Pro. Version 2 includes an additional snow cover class and accounts for snow cover effects within the other land cover classes. Overall accuracy across the continental United States for Version 2 is 75% on snow-covered pixels and 69% on snow-free pixels, versus 16% and 66% for Version 1. However, combining the “crop” and “low vegetation” classes improves these values to 86% for snow and 83% for snow-free, compared to 19% and 83% for Version 1. This merging is justified by their spectral similarity, the difference between crop and low vegetation falling closer to land use than land cover. The Version 2 tool is built into a Python-based ArcGIS toolbox, allowing users to leverage the pre-trained model—along with image splitting and parallel processing techniques—for their land cover type map generation needs.
3
Muldavin, Esteban, Yvonne Chauvin, Teri Neville, Hannah Varani, Jacqueline Smith, Paul Neville, and Tani Hubbard. A vegetation classi?cation and map: Guadalupe Mountains National Park. National Park Service, 2024. http://dx.doi.org/10.36967/2302855.
Abstract:
A vegetation classi?cation and map for Guadalupe Mountains National Park (NP) is presented as part of the National Park Service Inventory & Monitoring - Vegetation Inventory Program to classify, describe, and map vegetation communities in more than 280 national park units across the United States. Guadalupe Mountains NP lies in far west Texas and contains the highest point in the state, Guadalupe Peak (8,751 ft; 2,667 m). The mountain escarpments descend some 5,000 ft (1,500 m) to the desert basins below forming a complex geologic landscape that supports vegetation communities ranging from montane coniferous forests down to desert grasslands and scrub. Following the US National Vegetation Classi?cation (USNVC) standard, we identi?ed 129 plant associations hierarchically tiered under 29 groups and 17 macrogroups, making it one of the most ecologically diverse National Park Service units in the southwestern United States. An aspect that adds to this diversity is that the park supports communities that extend southward from the Rocky Mountains (?ve macrogroups) and Great Plains (one macrogroup) and northward from the Chihuahuan Desert (two macrogroups) and Sierra Madre Orientale of Mexico (three macrogroups). The remaining six macrogroups are found in the Great Basin (one macrogroup), and throughout the southwestern United States (remaining ?ve macrogroups). Embedded in this matrix are gypsum dunelands and riparian zones and wetlands that add further complexity. We describe in detail this vegetation classi?cation, which is based on 540 vegetation plots collected between 2006 and 2010. Full descriptions and diagnostic keys to the plant associations along with an overall plant species list are provided as appendices. Based on the vegetation classi?cation and associated plot data, the vegetation map was developed using a combined strategy of automated digital object-oriented image classi?cation and direct-analog image interpretation of four-band National Agricultural Imagery Program (NAIP) aerial photography from 2004 and 2008 and Landsat Thematic Mapper satellite imagery. The map is designed to facilitate ecologically-based natural resource management at a 1:24,000 scale with 0.5-ha minimum map unit size. The map legend is hierarchically structured: the upper Level 1 consists of 16 map units corresponding in most cases to the USNVC group level, and an additional map unit describing built-up land and agriculture; Level 2 is composed of 48 nested map units re?ecting various combinations of plant associations. A ?eld-based accuracy assessment using 341 vegetation plots revealed a Level 1 overall accuracy of 79% with 90% CI of 74?84% and 68% with 90% CI of 59?76% at Level 2. An annotated legend with summary descriptions of the units, distribution maps, aerial photo examples of map unit polygons, and representative photos are provided in Appendix D. Large wall-size poster maps at 1:35,000 scale were also produced following NPS cartographic standards. The report, plot data, and spatial layers are available at National Park Service Vegetation Mapping Program https://www.nps.gov/im/vegetation-inventory.htm). Outcomes from this project provide the most detailed vegetation classi?cation and highest resolution mapping for Guadalupe Mountains NP to date to support many uses including ?re, recreation, vegetation, and wildlife management, among others. The upper Level 1 map is particularly suited to landscape-scale, park-wide planning and linkages to its sister park, Carlsbad Caverns NP. The Level 2 mapping provides added detail for use at a more localized project scale. The overall accuracy of the maps was good, but because Guadalupe Mountains NP is primarily wilderness park, there were logistical challenges to map development and testing in remote areas that should be considered in planning management actions. In this context, some map units would bene?t from further development and accuracy assessment. In particular, a higher resolution mapping of McKittrick Creek riparian habitat at 1:6,000 scale or ?ner is recommended for this important habitat in the park. In addition, developing a structural canopy height model from LiDAR imagery would be useful to more accurately quantify woody canopy density and height to support ?re management and other habitat management issues. With respect to understanding vegetation dynamics in this time of rapid environmental change, the 540 vegetation plots themselves are su?ciently georeferenced and have the data resolution to be useful in detecting change at the decadal scales across much of the park. To this end, an additional recommendation would be to install more plots to ?ll the gaps among the main vegetation units of the park, both spatially and thematically. Overall, the Vegetation and Classi?cation Map for Guadalupe Mountains NP will support the park?s management e?orts and enhance regional understanding of vegetation and ecology of ecosystems of the southwestern United States.
4
Ley, Matt, Tom Baldvins, David Jones, Hanna Pilkington, and Kelly Anderson. Vegetation classification and mapping: Gulf Islands National Seashore. National Park Service, May 2023. http://dx.doi.org/10.36967/2299028.
Abstract:
The Gulf Islands National Seashore (GUIS) vegetation inventory project classified and mapped vegetation on park-owned lands within the administrative boundary and estimated thematic map accuracy quantitatively. The project began in June 2016. National Park Service (NPS) Vegetation Mapping Inventory Program provided technical guidance. The overall process included initial planning and scoping, imagery procurement, field data collection, data analysis, imagery interpretation/classification, accuracy assessment (AA), and report writing and database development. Initial planning and scoping meetings took place during May, 2016 in Ocean Springs, Mississippi where representatives gathered from GUIS, the NPS Gulf Coast Inventory and Monitoring Network, and Colorado State University. Primary imagery used for interpretation was 4-band (RGB and CIR) orthoimages from 2014 and 2016 with resolutions of 15 centimeters (cm) (Florida only) and 30 cm. Supplemental imagery with varying coverage across the study area included National Aerial Imagery Program 50 cm imagery for Mississippi (2016) and Florida (2017), 15 and 30 cm true color Digital Earth Model imagery for Mississippi (2016 and 2017), and current and historical true-color Google Earth and Bing Map imagery. National Oceanic Atmospheric Administration National Geodetic Survey 30 cm true color imagery from 2017 (post Hurricane Nate) supported remapping the Mississippi barrier islands after Hurricane Nate. The preliminary vegetation classification included 59 United States National Vegetation Classification (USNVC) associations. Existing vegetation and mapping data combined with vegetation plot data contributed to the final vegetation classification. Quantitative classification using hierarchical clustering and professional expertise was supported by vegetation data collected from 250 plots in 2016 and 29 plots in 2017 and 2018, as well as other observational data. The final vegetation classification includes 39 USNVC associations and 5 park special types; 18 forest and woodland, 7 shrubland, 17 herbaceous, and 2 sparse vegetation types were identified. The final GUIS map consists of 38 map classes. Land cover classes include four types: non-vegetated barren land / borrow pit, developed open space, developed low – high intensity, and water/ocean. Of the 34 vegetation map classes, 26 represent a single USNVC association/park special, six map classes contain two USNVC associations/park specials, and two map classes contain three USNVC associations/park specials. Forest and woodland associations had an abundance of sand pine (Pinus clausa), slash pine (Pinus elliottii), sand live oak (Quercus geminata), yaupon (Ilex vomitoria), wax myrtle (Morella cerifera), and saw palmetto (Serenoa repens). Shrubland associations supported dominant species such as eastern baccharis (Baccharis halimifolia), yaupon (Ilex vomitoria), wax myrtle (Morella cerifera), saw palmetto (Serenoa repens), and sand live oak (Quercus geminata). Herbaceous associations commonly included camphorweed (Heterotheca subaxillaris), needlegrass rush (Juncus roemerianus), bitter seabeach grass (Panicum amarum var. amarum), gulf bluestem (Schizachyrium maritimum), saltmeadow cordgrass (Spartina patens), and sea oats (Uniola paniculata). The final GUIS vegetation map consists of 1,268 polygons totaling 35,769.0 hectares (ha) or 88,387.2 acres (ac). Mean polygon size excluding water is 3.6 ha (8.9 ac). The most abundant land cover class is open water/ocean which accounts for approximately 31,437.7 ha (77,684.2 ac) or 87.9% of the total mapped area. Natural and ruderal vegetation consists of 4,176.8 ha (10,321.1 ac) or 11.6% of the total area. Within the natural and ruderal vegetation types, herbaceous types are the most extensive with 1945.1 ha (4,806.4 ac) or 46.5%, followed by forest and woodland types with 804.9 ha (1,989.0 ac) or 19.3%, sparse vegetation types with 726.9 ha (1,796.1 ac) or 17.4%, and shrubland types with 699.9 ha (1,729.5 ac) or 16.8%. Developed open space, which can include a matrix of roads, parking lots, park-like areas and campgrounds account for 153.8 ha (380.0 ac) or 0.43% of the total mapped area. Artificially non-vegetated barren land is rare and only accounts for 0.74 ha (1.82 ac) or 0.002% of the total area. We collected 701 AA samples to evaluate the thematic accuracy of the vegetation map. Final thematic accuracy, as a simple proportion of correct versus incorrect field calls, is 93.0%. Overall weighted map class accuracy is 93.6%, where the area of each map class was weighted in proportion to the percentage of total park area. This method provides more weight to larger map classes in the park. Each map class had an individual thematic accuracy goal of at least 80%. The hurricane impact area map class was the only class that fell below this target with an accuracy of 73.5%. The vegetation communities impacted by the hurricane are highly dynamic and regenerated quickly following the disturbance event, contributing to map class disagreement during the accuracy assessment phase. No other map classes fell below the 80% accuracy threshold. In addition to the vegetation polygon database and map, several products to support park resource management are provided including the vegetation classification, field key to the associations, local association descriptions, photographic database, project geodatabase, ArcGIS .mxd files for map posters, and aerial imagery acquired for the project. The project geodatabase links the spatial vegetation data layer to vegetation classification, plot photos, project boundary extent, AA points, and the PLOTS database. The geodatabase includes USNVC hierarchy tables allowing for spatial queries of data associated with a vegetation polygon or sample point. All geospatial products are projected using North American Datum 1983 (NAD83) in Universal Transverse Mercator (UTM) Zone 16 N. The final report includes methods and results, contingency tables showing AA results, field forms, species list, and a guide to imagery interpretation. These products provide useful information to assist with management of park resources and inform future management decisions. Use of standard national vegetation classification and mapping protocols facilitates effective resource stewardship by ensuring the compatibility and widespread use throughout the NPS as well as other federal and state agencies. Products support a wide variety of resource assessments, park management and planning needs. Associated information provides a structure for framing and answering critical scientific questions about vegetation communities and their relationship to environmental processes across the landscape.
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Ley, Matt, Tom Baldvins, Hannah Pilkington, David Jones, and Kelly Anderson. Vegetation classification and mapping project: Big Thicket National Preserve. National Park Service, 2024. http://dx.doi.org/10.36967/2299254.
Abstract:
The Big Thicket National Preserve (BITH) vegetation inventory project classified and mapped vegetation within the administrative boundary and estimated thematic map accuracy quantitatively. National Park Service (NPS) Vegetation Mapping Inventory Program provided technical guidance. The overall process included initial planning and scoping, imagery procurement, vegetation classification field data collection, data analysis, imagery interpretation/classification, accuracy assessment (AA), and report writing and database development. Initial planning and scoping meetings took place during May, 2016 in Kountze, Texas where representatives gathered from BITH, the NPS Gulf Coast Inventory and Monitoring Network, and Colorado State University. The project acquired new 2014 orthoimagery (30-cm, 4-band (RGB and CIR)) from the Hexagon Imagery Program. Supplemental imagery for the interpretation phase included Texas Natural Resources Information System (TNRIS) 2015 50 cm leaf-off 4-band imagery from the Texas Orthoimagery Program (TOP), Farm Service Agency (FSA) 100-cm (2016) and 60 cm (2018) National Aerial Imagery Program (NAIP) imagery, and current and historical true-color Google Earth and Bing Maps imagery. In addition to aerial and satellite imagery, 2017 Neches River Basin Light Detection and Ranging (LiDAR) data was obtained from the United States Geological Survey (USGS) and TNRIS to analyze vegetation structure at BITH. The preliminary vegetation classification included 110 United States National Vegetation Classification (USNVC) associations. Existing vegetation and mapping data combined with vegetation plot data contributed to the final vegetation classification. Quantitative classification using hierarchical clustering and professional expertise was supported by vegetation data collected from 304 plots surveyed between 2016 and 2019 and 110 additional observation plots. The final vegetation classification includes 75 USNVC associations and 27 park special types including 80 forest and woodland, 7 shrubland, 12 herbaceous, and 3 sparse vegetation types. The final BITH map consists of 51 map classes. Land cover classes include five types: pasture / hay ground agricultural vegetation; non ? vegetated / barren land, borrow pit, cut bank; developed, open space; developed, low ? high intensity; and water. The 46 vegetation classes represent 102 associations or park specials. Of these, 75 represent natural vegetation associations within the USNVC, and 27 types represent unpublished park specials. Of the 46 vegetation map classes, 26 represent a single USNVC association/park special, 7 map classes contain two USNVC associations/park specials, 4 map classes contain three USNVC associations/park specials, and 9 map classes contain four or more USNVC associations/park specials. Forest and woodland types had an abundance of Pinus taeda, Liquidambar styraciflua, Ilex opaca, Ilex vomitoria, Quercus nigra, and Vitis rotundifolia. Shrubland types were dominated by Pinus taeda, Ilex vomitoria, Triadica sebifera, Liquidambar styraciflua, and/or Callicarpa americana. Herbaceous types had an abundance of Zizaniopsis miliacea, Juncus effusus, Panicum virgatum, and/or Saccharum giganteum. The final BITH vegetation map consists of 7,271 polygons totaling 45,771.8 ha (113,104.6 ac). Mean polygon size is 6.3 ha (15.6 ac). Of the total area, 43,314.4 ha (107,032.2 ac) or 94.6% represent natural or ruderal vegetation. Developed areas such as roads, parking lots, and campgrounds comprise 421.9 ha (1,042.5 ac) or 0.9% of the total. Open water accounts for approximately 2,034.9 ha (5,028.3 ac) or 4.4% of the total mapped area. Within the natural or ruderal vegetation types, forest and woodland types were the most extensive at 43,022.19 ha (106,310.1 ac) or 94.0%, followed by herbaceous vegetation types at 129.7 ha (320.5 ac) or 0.3%, sparse vegetation types at 119.2 ha (294.5 ac) or 0.3%, and shrubland types at 43.4 ha (107.2 ac) or 0.1%. A total of 784 AA samples were collected to evaluate the map?s thematic accuracy. When each AA sample was evaluated for a variety of potential errors, a number of the disagreements were overturned. It was determined that 182 plot records disagreed due to either an erroneous field call or a change in the vegetation since the imagery date, and 79 disagreed due to a true map classification error. Those records identified as incorrect due to an erroneous field call or changes in vegetation were considered correct for the purpose of the AA. As a simple plot count proportion, the reconciled overall accuracy was 89.9% (705/784). The spatially-weighted overall accuracy was 92.1% with a Kappa statistic of 89.6%. This method provides more weight to larger map classes in the park. Five map classes had accuracies below 80%. After discussing preliminary results with the parl, we retained those map classes because the community was rare, the map classes provided desired detail for management or the accuracy was reasonably close to the 80% target. When the 90% AA confidence intervals were included, an additional eight classes had thematic accruacies that extend below 80%. In addition to the vegetation polygon database and map, several products to support park resource management include the vegetation classification, field key to the associations, local association descriptions, photographic database, project geodatabase, ArcGIS .mxd files for map posters, and aerial imagery acquired for the project. The project geodatabase links the spatial vegetation data layer to vegetation classification, plot photos, project boundary extent, AA points, and PLOTS database sampling data. The geodatabase includes USNVC hierarchy tables allowing for spatial queries of data associated with a vegetation polygon or sample point. All geospatial products are projected using North American Datum 1983 (NAD83) in Universal Transverse Mercator (UTM) Zone 15 N. The final report includes methods and results, contingency tables showing AA results, field forms, species list, and a guide to imagery interpretation. These products provide useful information to assist with management of park resources and inform future management decisions. Use of standard national vegetation classification and mapping protocols facilitates effective resource stewardship by ensuring the compatibility and widespread use throughout NPS as well as other federal and state agencies. Products support a wide variety of resource assessments, park management and planning needs. Associated information provides a structure for framing and answering critical scientific questions about vegetation communities and their relationship to environmental processes across the landscape.
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Becker, Sarah, Megan Maloney, and Andrew Griffin. A multi-biome study of tree cover detection using the Forest Cover Index. Engineer Research and Development Center (U.S.), September 2021. http://dx.doi.org/10.21079/11681/42003.
Abstract:
Tree cover maps derived from satellite and aerial imagery directly support civil and military operations. However, distinguishing tree cover from other vegetative land covers is an analytical challenge. While the commonly used Normalized Difference Vegetation Index (NDVI) can identify vegetative cover, it does not consistently distinguish between tree and low-stature vegetation. The Forest Cover Index (FCI) algorithm was developed to take the multiplicative product of the red and near infrared bands and apply a threshold to separate tree cover from non-tree cover in multispectral imagery (MSI). Previous testing focused on one study site using 2-m resolution commercial MSI from WorldView-2 and 30-m resolution imagery from Landsat-7. New testing in this work used 3-m imagery from PlanetScope and 10-m imagery from Sentinel-2 in imagery in sites across 12 biomes in South and Central America and North Korea. Overall accuracy ranged between 23% and 97% for Sentinel-2 imagery and between 51% and 98% for PlanetScope imagery. Future research will focus on automating the identification of the threshold that separates tree from other land covers, exploring use of the output for machine learning applications, and incorporating ancillary data such as digital surface models and existing tree cover maps.
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Suir, Glenn, Christina Saltus, Charles Sasser, J. Harris, Molly Reif, Rodrigo Diaz, and Gabe Giffin. Evaluating drone truthing as an alternative to ground truthing : an example with wetland plant identification. Engineer Research and Development Center (U.S.), October 2021. http://dx.doi.org/10.21079/11681/42201.
Abstract:
Satellite remote sensing of wetlands provides many advantages to traditional monitoring and mapping methods. However, remote sensing often remains reliant on labor- and resource- intensive ground truth data for wetland vegetation identification through image classification training and accuracy assessments. Therefore, this study sought to evaluate the use of unmanned aircraft system (UAS) data as an alternative or supplement to traditional ground truthing techniques in support of remote sensing for identifying and mapping wetland vegetation.
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Suir, Glenn, Christina Saltus, Charles Sasser, J. Harris, Molly Reif, Rodrigo Diaz, and Gabe Giffin. Evaluating drone truthing as an alternative to ground truthing : an example with wetland plant identification. Engineer Research and Development Center (U.S.), October 2021. http://dx.doi.org/10.21079/11681/42201.
Abstract:
Satellite remote sensing of wetlands provides many advantages to traditional monitoring and mapping methods. However, remote sensing often remains reliant on labor- and resource- intensive ground truth data for wetland vegetation identification through image classification training and accuracy assessments. Therefore, this study sought to evaluate the use of unmanned aircraft system (UAS) data as an alternative or supplement to traditional ground truthing techniques in support of remote sensing for identifying and mapping wetland vegetation.
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Suir, Glenn, and Jacob Berkowitz. Inundation depth and duration impacts on wetland soils and vegetation : state of knowledge. Engineer Research and Development Center (U.S.), September 2021. http://dx.doi.org/10.21079/11681/42146.
Abstract:
The following synthesizes studies investigating plant and soil responses to increased inundation in order to support ecosystem restoration efforts related to the alteration of natural wetland hydrodynamics. Specific topics include hydrologic regimes, soil response to inundation, and implications for vegetation communities exposed to increased water depths. Results highlight the important interactions between water, soils, and vegetation that determine the trajectory and fate of wetland ecosystems, including the development of feedback loops related to marsh degradation and subsidence. This report then discusses the knowledge gaps related to implications of inundation depth, timing, and duration within an ecosystem restoration context, identifying opportunities for future research while providing source materials for practitioners developing restoration projects.
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Ramm-Granberg, Tynan, F. Rocchio, Catharine Copass, Rachel Brunner, and Eric Nelsen. Revised vegetation classification for Mount Rainier, North Cascades, and Olympic national parks: Project summary report. National Park Service, February 2021. http://dx.doi.org/10.36967/nrr-2284511.
Abstract:
Field crews recently collected more than 10 years of classification and mapping data in support of the North Coast and Cascades Inventory and Monitoring Network (NCCN) vegetation maps of Mount Rainier (MORA), Olympic (OLYM), and North Cascades (NOCA) National Parks. Synthesis and analysis of these 6000+ plots by Washington Natural Heritage Program (WNHP) and Institute for Natural Resources (INR) staff built on the foundation provided by the earlier classification work of Crawford et al. (2009). These analyses provided support for most of the provisional plant associations in Crawford et al. (2009), while also revealing previously undescribed vegetation types that were not represented in the United States National Vegetation Classification (USNVC). Both provisional and undescribed types have since been submitted to the USNVC by WNHP staff through a peer-reviewed process. NCCN plots were combined with statewide forest and wetland plot data from the US Forest Service (USFS) and other sources to create a comprehensive data set for Washington. Analyses incorporated Cluster Analysis, Nonmetric Multidimensional Scaling (NMS), Multi-Response Permutation Procedure (MRPP), and Indicator Species Analysis (ISA) to identify, vet, and describe USNVC group, alliance, and association distinctions. The resulting revised classification contains 321 plant associations in 99 alliances. A total of 54 upland associations were moved through the peer review process and are now part of the USNVC. Of those, 45 were provisional or preliminary types from Crawford et al. (2009), with 9 additional new associations that were originally identified by INR. WNHP also revised the concepts of 34 associations, wrote descriptions for 2 existing associations, eliminated/archived 2 associations, and created 4 new upland alliances. Finally, WNHP created 27 new wetland alliances and revised or clarified an additional 21 as part of this project (not all of those occur in the parks). This report and accompanying vegetation descriptions, keys and synoptic and environmental tables (all products available from the NPS Data Store project reference: https://irma.nps.gov/DataStore/Reference/Profile/2279907) present the fruit of these combined efforts: a comprehensive, up-to-date vegetation classification for the three major national parks of Washington State.