Добірка наукової літератури з теми "Vegetation support"
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Статті в журналах з теми "Vegetation support":
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Дисертації з теми "Vegetation support":
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/.
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.
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.
Department 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.
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.
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.
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.
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.
The 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
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.
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.
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.
Книги з теми "Vegetation support":
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.
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.
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.
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.
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.
(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.
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.
Swan, Michael, and Simon Watharow. Snakes, Lizards and Frogs of the Victorian Mallee. CSIRO Publishing, 2005. http://dx.doi.org/10.1071/9780643093119.
Palmer, Grant. Wildlife of the Otways and Shipwreck Coast. CSIRO Publishing, 2019. http://dx.doi.org/10.1071/9781486308996.
Armstrong, Rebecca. Vergil's Green Thoughts. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780199236688.001.0001.
Частини книг з теми "Vegetation support":
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Тези доповідей конференцій з теми "Vegetation support":
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Звіти організацій з теми "Vegetation support":
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.