Gotowe bibliografie tematyczne / Vegetation

Gotowa bibliografia na temat „Vegetation”

Autor: Grafiati
Data publikacji: 4 czerwca 2021
Data aktualizacji: 31 lipca 2024

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Artykuły w czasopismach na temat "Vegetation"

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Bancsi, Maurice J. L. M. F., Marcel H. A. M. Veltrop, Rogier M. Bertina i Jan Thompson. "Role of Monocytes and Bacteria inStaphylococcus epidermidis Endocarditis". Infection and Immunity 66, nr 2 (1.02.1998): 448–50. http://dx.doi.org/10.1128/iai.66.2.448-450.1998.

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ABSTRACT The endocardial vegetation which is formed in the course of bacterial endocarditis (BE) contains tissue factor (TF)-dependent procoagulant activity. Earlier studies showed that monocytes are the main source of TF in the vegetations. The TF activity (TFA) of vegetations isolated from Streptococcus sanguis-infected rabbits depended on the numbers of bacteria as well as monocytes in the vegetation. In this study, we investigated whether forStaphylococcus epidermidis, a frequent pathogen in BE, an effect similar to that found for S. sanguis could be shown. In vitro, S. epidermidis was found to stimulate TFA of fibrin adherent monocytes significantly. This stimulation was maximal at a bacterium-to-monocyte ratio of 7. In vivo, TFA was found to be significantly higher in S. epidermidis-infected than in sterile catheter-induced vegetations. Reduction of vegetational bacterial numbers by teicoplanin treatment lead to a small but significant decrease of TFA. Reduction of monocyte numbers by etoposide did not affect vegetational TFA. Comparison of data for S. epidermidis and S. sanguis revealed that at equivalent bacterial numbers, vegetational TFAs were approximately the same for both microorganisms. Combining the results of the present study with those of a previous study using S. sanguis, we conclude that the main factor determining monocyte-dependent vegetational TFA is the number of vegetation-associated bacteria. The lower TFA found for S. epidermidis-infected than forS. sanguis-infected vegetations can be explained by the significantly lower bacterial numbers in the infected vegetations and consequently a lower stimulation of vegetation-associated monocytes.
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Fattorini, Simone. "The Role of Vegetation in Elevational Diversity Patterns of Tenebrionid Beetles in Central Italy". Diversity 16, nr 2 (8.02.2024): 110. http://dx.doi.org/10.3390/d16020110.

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Vegetation tends to vary in a systematic fashion along elevational gradients, leading to the possibility of recognizing distinct vegetational belts, which are frequently used to describe and interpret elevational variations in biodiversity. However, anthropogenic changes can create landscapes dominated by secondary grasslands in areas formerly occupied by forests, thus altering the natural sequence of vegetation types. The present research illustrates how the distribution of tenebrionid beetles in central Italy is influenced by secondary vegetation. Classical schemes of vegetational belts were modified into a scheme of main vegetation types that include secondary vegetations. Tenebrionid species presence/absence in each vegetation type was then assessed. Species richness tended to decrease with elevation in both natural and secondary vegetations. Geophilous (ground-dwelling) species (which include many endemics) prevailed in natural and secondary grasslands, while xylophilous species (associated with trees) prevailed in the natural forests. Similarities in tenebrionid composition indicated the presence of two main groups: one associated with forests and the other with natural and secondary grasslands. Geophilous species prevailed among tenebrionids with Mediterranean distributions, whereas xylophilous species prevailed among species distributed mainly in Europe and the Palearctic. High values of richness, biogeographical complexity and proportion of endemics make secondary vegetations of high conservation concern.
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Hassan, Zaid Naji, Nassreen N. Mzhr i Maan Abdul Azeez Shafeeq. "Relationships between Insects and their Host Plants-Co-Evolution Review". South Asian Research Journal of Pharmaceutical Sciences 5, nr 05 (5.10.2023): 196–205. http://dx.doi.org/10.36346/sarjps.2023.v05i05.003.

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Co-evolved is the mostly passable opinion for the development of insect-harbor-cultivate connections, whilst, it enable be offered that its essential prelude are unsuitable: (1) generality Plant-eating insects have highly minimum inhabitance intensities comparison to the bio conglomerate of their harbor cultivates , subsequently, they ability seldom be significant chosen agents for the vegetative; (2) insect- harbor-cultivate reactions are not indispensable hostile: monoeater- and oligoeater insects, whether their count is obviously elevated, may perfect organize the multitude of their harbor cultivates (reciprocal usefulness); Therefore, (3) durability to insects is not a comprehensive needful in vegetation and it Not possible clarify the existence of subaltern vegetation materials; (4) equivalent development pathways of vegetations and insects which must outcome from co development reactions are scarce, whereas numerous intimately concerning insects nourish on Vegetarian highly Away vegetation Varieties - a connection which not possible be concerning to co- development. So, the opinion of successive development is suggested: the development of blossom vegetations encouraged via chosen agents (e.g., environment, ground, vegetation- vegetation, reactions etc.), which are numerous extra powerful than insect offensives originate the biochemically varied dietary rule for the development of Plant-eating insects, whereas the last do not Significantly impact the development of vegetations.
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Maxwald, Melanie, Markus Immitzer, Hans Peter Rauch i Federico Preti. "Analyzing Fire Severity and Post-Fire Vegetation Recovery in the Temperate Andes Using Earth Observation Data". Fire 5, nr 6 (8.12.2022): 211. http://dx.doi.org/10.3390/fire5060211.

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In wildfire areas, earth observation data is used for the development of fire-severity maps or vegetation recovery to select post-fire measures for erosion control and revegetation. Appropriate vegetation indices for post-fire monitoring vary with vegetation type and climate zone. This study aimed to select the best vegetation indices for post-fire vegetation monitoring using remote sensing and classification methods for the temperate zone in southern Ecuador, as well as to analyze the vegetation’s development in different fire severity classes after a wildfire in September 2019. Random forest classification models were calculated using the fire severity classes (from the Relativized Burn Ratio—RBR) as a dependent variable and 23 multitemporal vegetation indices from 10 Sentinel-2 scenes as descriptive variables. The best vegetation indices to monitor post-fire vegetation recovery in the temperate Andes were found to be the Leaf Chlorophyll Content Index (LCCI) and the Normalized Difference Red-Edge and SWIR2 (NDRESWIR). In the first post-fire year, the vegetation had already recovered to a great extent due to vegetation types with a short life cycle (seasonal grass-species). Increasing index values correlated strongly with increasing fire severity class (fire severity class vs. median LCCI: 0.9997; fire severity class vs. median NDRESWIR: 0.9874). After one year, the vegetations’ vitality in low severity and moderate high severity appeared to be at pre-fire level.
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He, Dong, Xianglin Huang, Qingjiu Tian i Zhichao Zhang. "Changes in Vegetation Growth Dynamics and Relations with Climate in Inner Mongolia under More Strict Multiple Pre-Processing (2000–2018)". Sustainability 12, nr 6 (24.03.2020): 2534. http://dx.doi.org/10.3390/su12062534.

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Inner Mongolia Autonomous Region (IMAR) is related to China’s ecological security and the improvement of ecological environment; thus, the vegetation’s response to climate changes in IMAR has become an important part of current global change research. As existing achievements have certain deficiencies in data preprocessing, technical methods and research scales, we correct the incomplete data pre-processing and low verification accuracy; use grey relational analysis (GRA) to study the response of Enhanced Vegetation Index (EVI) in the growing season to climate factors on the pixel scale; explore the factors that affect the response speed and response degree from multiple perspectives, including vegetation type, longitude, latitude, elevation and local climate type; and solve the problems of excessive ignorance of details and severe distortion of response results due to using average values of the wide area or statistical data. The results show the following. 1. The vegetation status of IMAR in 2000-2018 was mainly improved. The change rates were 0.23/10° N and 0.25/10° E, respectively. 2. The response speed and response degree of forests to climatic factors are higher than that of grasslands. 3. The lag time of response for vegetation growth to precipitation, air temperature and relative humidity in IMAR is mainly within 2 months. The speed of vegetation‘s response to climate change in IMAR is mainly affected by four major factors: vegetation type, altitude gradient, local climate type and latitude. 4. Vegetation types and altitude gradients are the two most important factors affecting the degree of vegetation’s response to climate factors. It is worth noting that when the altitude rises to 2500 m, the dominant factor for the vegetation growth changes from precipitation to air temperature in terms of hydrothermal combination in the environment. Vegetation growth in areas with relatively high altitudes is more dependent on air temperature.
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Ruzikulova, Oykhumor. "Analysis of vegetation changes in land area of Syrdarya region using GIS technology and remote sensing data". E3S Web of Conferences 401 (2023): 04008. http://dx.doi.org/10.1051/e3sconf/202340104008.

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This article presents a map of vegetative changes in the Syrdarya region based on remote sensing data. Landsat 8 and Landsat 9 satellite images were used for analysis during the vegetation active period. The study examines the vegetation state of the selected area from 2000 to 2022 and analyzes the changes. The Normalized Difference Vegetation Index (NDVI) was calculated using ArcGIS 10.6 software and documented sequentially. The number of color-coded pixels on the map indicating the health and unhealthiness of the crops and the areas they occupy was determined through NDVI analysis. The study revealed a decrease in the vegetation layer in the Syrdarya region, and the reasons for this phenomenon were discussed. The article demonstrates the usefulness of remote sensing in analyzing vegetational changes over time and its potential applications in monitoring the health and productivity of crops in different regions. Overall, this research is valuable for developing strategies to mitigate the impact of vegetation loss in the Syrdarya region and similar regions facing similar challenges.
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García-de-la-Mària, C., F. Marco, Y. Armero, D. Soy, A. Moreno, A. del Río, M. Almela i in. "Daptomycin Is Effective for Treatment of Experimental Endocarditis Due to Methicillin-Resistant and Glycopeptide-Intermediate Staphylococcus epidermidis". Antimicrobial Agents and Chemotherapy 54, nr 7 (26.04.2010): 2781–86. http://dx.doi.org/10.1128/aac.01011-09.

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ABSTRACT This study evaluated the daptomycin activity against two methicillin-resistant Staphylococcus epidermidis (MRSE) clinical isolates with different vancomycin susceptibilities: MRSE-375, with a vancomycin MIC of 2 μg/ml, and NRS6, a glycopeptide-intermediate S. epidermidis (GISE) strain with a vancomycin MIC of 8 μg/ml. The in vivo activity of daptomycin at two different doses (standard dose [SD-daptomycin], 6 mg/kg of body weight/day intravenously [i.v.]; high dose [HD-daptomycin], 10 mg/kg/day i.v.) was evaluated in a rabbit model of infective endocarditis and compared with that of a standard dose of vancomycin (SD-vancomycin; 1 g i.v. every 12 h) for 2 days. For the MRSE-375 strain, high-dose vancomycin (HD-vancomycin; 1 g i.v. every 6 h) was also studied. For MRSE-375, SD- and HD-daptomycin therapy sterilized significantly more vegetations than SD-vancomycin therapy (9/15 [60%] and 11/15 [73%] vegetations, respectively, versus 3/16 [19%] vegetations; P = 0.02 and P = 0.002, respectively). HD-daptomycin sterilized more vegetations than HD-vancomycin (11/15 [73%] versus 5/15 [33%] vegetations; P = 0.03) and was more effective than SD- and HD-vancomycin in reducing the density of bacteria in valve vegetations (0 log10 CFU/g vegetation [interquartile range {IQR}, 0 to 1 log10 CFU/g vegetation] versus 2 log10 CFU/g vegetation [IQR, 2 to 2 log10 CFU/g vegetation] and 2 log10 CFU/g vegetation [IQR, 0 to 2.8 log10 CFU/g vegetation]; P = 0.002 and P = 0.01, respectively). For the NRS6 strain, SD- and HD-daptomycin were significantly more effective than vancomycin in reducing the density of bacteria in valve vegetations (3.7 log10 CFU/g vegetation [IQR, 2 to 6 log10 CFU/g vegetation] versus 7.1 log10 CFU/g vegetation [IQR, 5.2 to 8.5 log10 CFU/g vegetation]; P = 0.02). In all treatment arms, isolates recovered from vegetations remained susceptible to daptomycin and vancomycin and had the same MICs. In conclusion, daptomycin at doses of 6 mg/kg/day or 10 mg/kg/day is more effective than vancomycin for the treatment of experimental endocarditis due to MRSE and GISE.
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Xu, Nianxu, Jia Tian, Qingjiu Tian, Kaijian Xu i Shaofei Tang. "Analysis of Vegetation Red Edge with Different Illuminated/Shaded Canopy Proportions and to Construct Normalized Difference Canopy Shadow Index". Remote Sensing 11, nr 10 (19.05.2019): 1192. http://dx.doi.org/10.3390/rs11101192.

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Shadows exist universally in sunlight-source remotely sensed images, and can interfere with the spectral morphological features of green vegetations, resulting in imprecise mathematical algorithms for vegetation monitoring and physiological diagnoses; therefore, research on shadows resulting from forest canopy internal composition is very important. Red edge is an ideal indicator for green vegetation’s photosynthesis and biomass because of its strong connection with physicochemical parameters. In this study, red edge parameters (curve slope and reflectance) and the normalized difference vegetation index (NDVI) of two species of coniferous trees in Inner Mongolia, China, were studied using an unmanned aerial vehicle’s hyperspectral visible-to-near-infrared images. Positive correlations between vegetation red edge slope and reflectance with different illuminated/shaded canopy proportions were obtained, with all R2s beyond 0.850 (p < 0.01). NDVI values performed steadily under changes of canopy shadow proportions. Therefore, we devised a new vegetation index named normalized difference canopy shadow index (NDCSI) using red edge’s reflectance and the NDVI. Positive correlations (R2 = 0.886, p < 0.01) between measured brightness values and NDCSI of validation samples indicated that NDCSI could differentiate illumination/shadow circumstances of a vegetation canopy quantitatively. Combined with the bare soil index (BSI), NDCSI was applied for linear spectral mixture analysis (LSMA) using Sentinel-2 multispectral imaging. Positive correlations (R2 = 0.827, p < 0.01) between measured brightness values and fractional illuminated vegetation cover (FIVC) demonstrate the capacity of NDCSI to accurately calculate the fractional cover of illuminated/shaded vegetation, which can be utilized to calculate and extract the illuminated vegetation canopy from satellite images.
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Khan, Roomana, Saleeha Asghar i Vivek Kak. "699. A Retrospective Review of the Progression of Cardiac Vegetations with treatment". Open Forum Infectious Diseases 7, Supplement_1 (1.10.2020): S401. http://dx.doi.org/10.1093/ofid/ofaa439.891.

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Abstract Background The purpose of our study was to assess the natural history of cardiac vegetations in native valves(NVIE) including changes in size and/or resolution with adequate treatment, as well as analyze factors that influence initial size. Methods We did a retrospective review of 102 patients discharged with a diagnosis NVIE at a community hospital. These patients were then screened to see if they received an adequate course of antimicrobial therapy and had follow up echocardiograms. The primary outcome measured was the change in vegetation size. We also assessed secondary measures including pathogen identified, the valve involved, complications, and associated IDU and any co-infections. Results 31 patients fulfilled the study criteria and showed an initial mean vegetation size of 170mm upon initial echocardiography. The follow-up size after antibiotic treatment was 78mm suggesting a statistically significant relationship between antibiotic completion and reduction in vegetation size. (p-value 0.005). T-Test was used for subgroup analysis and showed that the initial size of vegetations was significantly larger in IDUs (311) when compared to non-IDU (92)(p-value= 0.026).Patients who had embolic phenomena had significantly larger initial vegetations than those with no embolic complication. Initial vegetation size was significantly larger for people with embolic complications (308 mm vs 82.65 mm, p-value 0.013).We also found that patients with Staphylococcal endocarditis had larger vegetations than those with non-staphylococcal endocarditis (264 vs 39, p-value 0.001). and treatment led to a larger decrease in vegetation size (152 vs 7, p value 0.007) Conclusion Our small study suggests that successful treatment of NVIE does lead to a decrease in vegetation size though resolution of the vegetation does not occur. We also found that embolic phenomenon tended to occur with larger vegetations with our study suggesting that a vegetation &gt; 3 cm was more likely to embolize. Our study also shows that vegetations in NVIE in injection drug users were larger than those in non-IDU and vegetation size is larger in patients with staphylococcal endocarditis however successful treatment in these patients also leads to a larger decrease in size of these vegetations Disclosures All Authors: No reported disclosures
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Khan, Asim, Warda Asim, Anwaar Ulhaq i Randall W. Robinson. "A deep semantic vegetation health monitoring platform for citizen science imaging data". PLOS ONE 17, nr 7 (27.07.2022): e0270625. http://dx.doi.org/10.1371/journal.pone.0270625.

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Automated monitoring of vegetation health in a landscape is often attributed to calculating values of various vegetation indexes over a period of time. However, such approaches suffer from an inaccurate estimation of vegetational change due to the over-reliance of index values on vegetation’s colour attributes and the availability of multi-spectral bands. One common observation is the sensitivity of colour attributes to seasonal variations and imaging devices, thus leading to false and inaccurate change detection and monitoring. In addition, these are very strong assumptions in a citizen science project. In this article, we build upon our previous work on developing a Semantic Vegetation Index (SVI) and expand it to introduce a semantic vegetation health monitoring platform to monitor vegetation health in a large landscape. However, unlike our previous work, we use RGB images of the Australian landscape for a quarterly series of images over six years (2015–2020). This Semantic Vegetation Index (SVI) is based on deep semantic segmentation to integrate it with a citizen science project (Fluker Post) for automated environmental monitoring. It has collected thousands of vegetation images shared by various visitors from around 168 different points located in Australian regions over six years. This paper first uses a deep learning-based semantic segmentation model to classify vegetation in repeated photographs. A semantic vegetation index is then calculated and plotted in a time series to reflect seasonal variations and environmental impacts. The results show variational trends of vegetation cover for each year, and the semantic segmentation model performed well in calculating vegetation cover based on semantic pixels (overall accuracy = 97.7%). This work has solved a number of problems related to changes in viewpoint, scale, zoom, and seasonal changes in order to normalise RGB image data collected from different image devices.
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Rozprawy doktorskie na temat "Vegetation"

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Eliasson, Jacob. "Vegetation på dammar". Thesis, Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-66827.

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Green, Janet Alexis. "An application of predictive vegetation mapping to mountain vegetation in Sweden". Texas A&M University, 2005. http://hdl.handle.net/1969.1/3089.

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Predictive vegetation mapping was employed to predict the distribution of vegetation communities and physiognomies in the portion of the Scandinavian mountains in Sweden. This was done to address three main research questions: (1) what environmental variables are important in structuring vegetation patterns in the study area? (2) how well does a classification tree predict the composition of mountain vegetation in the study area using the chosen environmental variables for the study? and (3) are vegetation patterns better predicted at higher levels of physiognomic aggregation? Using GIS, a spatial dataset was first developed consisting of sampled points across the full geographic range of the study area. The sample contained existing vegetation community data as the dependent variable and various environmental data as the independent variables thought to control or correlate with vegetation distributions. The environmental data were either obtained from existing digital datasets or derived from Digital Elevation Models (DEMs). Utilizing classification tree methodology, three model frameworks were developed in which vegetation was increasingly aggregated into higher levels of physiognomic organization. The models were then pruned, and accuracy statistics were obtained. Results indicated that accuracy improved with increasing aggregation of the dependent variable. The three model frameworks were then applied to the Abisko portion of the study area in northwestern Sweden to produce predictive maps which were compared to the current vegetation distribution. Compositional patterns were critically analyzed in order to: (1) assess the ability of the models to correctly classify general vegetation patterns at the three levels of physiognomic classification, (2) address the extent to which three specific ecological relationships thought to control vegetation distribution in this area were manifested by the model, and (3) speculate as to possible sources of error and factors affecting accuracy of the models.
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Lloyd, D. "An evaluation of small scale shortwave vegetation index imagery for vegetation mapping". Thesis, University of Bristol, 1988. http://hdl.handle.net/1983/d1ea0ff2-2c0d-4b41-849c-bd8ce3c3649f.

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Roderick, Michael L. "Satellite derived vegetation indices for monitoring seasonal vegetation conditions in Western Australia". Thesis, Curtin University, 1994. http://hdl.handle.net/20.500.11937/518.

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The monitoring of continental and global scale net primary production remains a major focus of satellite-based remote sensing. Potential benefits which follow are diverse and include contributions to, and improved scientific understanding of, ecological systems, rangeland management, famine warning, agricultural commodity trading, and the study of global climate change.A NOAA-AVHRR data set containing monthly observations of green vegetation cover over a ten year period was acquired and analysed, to extract information on seasonal conditions. The data were supplied as a vegetation index, commonly known as the Normalised Difference Vegetation Index (NDVI), with a spatial resolution of approximately five km. The data set was acquired from three different satellites, and calibration problems were known to exist. A new technique was developed to estimate, and subsequently remove, the calibration bias present in the data.Monthly rainfall measurements were used as surrogate ground truth to validate the NDVI data. For regions of native vegetation, linear models relating NDVI to previous rainfall were derived, using transfer function techniques in common use in systems engineering. The models demonstrate that, in mid-latitude regions, the NDVI is a linear function of rainfall recorded over the preceding seven or eight months.Annual summaries of the image data were developed to highlight the amount and timing of plant growth. Three fundamental questions were posed as an aid to the development of the summary technique: where, when and how much? These summaries highlight the extraordinary spatial and temporal variations in plant growth, and hence rainfall, over much of Western Australia each year.Standard analysis techniques used in time series analysis, such as classical decomposition, were successfully applied to the analysis of NDVI time series. These techniques highlighted structural differences in the image data, due to land use, climatic factors and vegetation type.Overall, the results of the research undertaken in this study, using NOAA-AVHRR data in Western Australia, demonstrate that vegetation indices acquired from satellite platforms can be used to monitor continental scale seasonal conditions in an effective manner. As a consequence of these results, further research using this type of data is proposed in rangeland management and climate change modelling.
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Roderick, Michael L. "Satellite derived vegetation indices for monitoring seasonal vegetation conditions in Western Australia". Curtin University of Technology, School of Surveying and Land Information, 1994. http://espace.library.curtin.edu.au:80/R/?func=dbin-jump-full&object_id=14815.

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The monitoring of continental and global scale net primary production remains a major focus of satellite-based remote sensing. Potential benefits which follow are diverse and include contributions to, and improved scientific understanding of, ecological systems, rangeland management, famine warning, agricultural commodity trading, and the study of global climate change.A NOAA-AVHRR data set containing monthly observations of green vegetation cover over a ten year period was acquired and analysed, to extract information on seasonal conditions. The data were supplied as a vegetation index, commonly known as the Normalised Difference Vegetation Index (NDVI), with a spatial resolution of approximately five km. The data set was acquired from three different satellites, and calibration problems were known to exist. A new technique was developed to estimate, and subsequently remove, the calibration bias present in the data.Monthly rainfall measurements were used as surrogate ground truth to validate the NDVI data. For regions of native vegetation, linear models relating NDVI to previous rainfall were derived, using transfer function techniques in common use in systems engineering. The models demonstrate that, in mid-latitude regions, the NDVI is a linear function of rainfall recorded over the preceding seven or eight months.Annual summaries of the image data were developed to highlight the amount and timing of plant growth. Three fundamental questions were posed as an aid to the development of the summary technique: where, when and how much? These summaries highlight the extraordinary spatial and temporal variations in plant growth, and hence rainfall, over much of Western Australia each year.Standard analysis techniques used in time series analysis, such as classical decomposition, were successfully applied to the analysis of NDVI time series. These techniques highlighted ++
structural differences in the image data, due to land use, climatic factors and vegetation type.Overall, the results of the research undertaken in this study, using NOAA-AVHRR data in Western Australia, demonstrate that vegetation indices acquired from satellite platforms can be used to monitor continental scale seasonal conditions in an effective manner. As a consequence of these results, further research using this type of data is proposed in rangeland management and climate change modelling.
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Helt, Michael F. "Vegetation identification with Lidar". Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2005. http://library.nps.navy.mil/uhtbin/hyperion/05Sep%5FHelt.pdf.

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Möller, Ingo. "Studien zur Vegetation Nordwestspitzbergens". [S.l. : s.n.], 1999. http://www.sub.uni-hamburg.de/disse/133/Disse.pdf.

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Schmidt, Peter A., i Dirk Wendel. "Überblick zur Vegetation Sachsens". Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2011. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-77542.

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Flora und Vegetation sind Spiegelbild naturräumlicher Potenziale ebenso wie kulturbürtiger Einflüsse. Der im Rahmen einer bodenkundlichen Tagung entstandene Artikel gibt einen textlichen und kartografischen Überblick zur potenziellen natürlichen Vegetation (pnV) Sachsens. Aktuelle Vegetationsverhältnisse finden ebenso Berücksichtigung. Die Naturregionen Tief-, Hügel- und Bergland werden aus vegetationskundlicher Sicht - unter Einbeziehung aktueller Forschungen und mit Bezug auf geologische, edaphische sowie klimatische Rahmenbedingungen - charakterisiert. Regionale Besonderheiten (z. B. die Ost-West-Gliederung des Erzgebirges) werden dabei ebenso herausgestellt wie neuere Erkenntnisse zur Verbreitung von landschaftsprägenden Waldtypen (z. B. bodensaure Eichenwälder im Tiefland).
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Smith, R. I. L. "Ecology of Antarctic vegetation". Thesis, University of Aberdeen, 1990. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.593458.

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My extensive studies throughout the maritime Antarctic allowed me to discover many new localities where the two Antarctic vascular plants (Colobanthus quitensis and Deschampsia antarctica) occur, including extending their known range to the farthest south site in the world for flowering plants. As a result of my interest in the cryptogamic flora of the maritime Antarctic, and because of my knowledge of the aquatic bryophytes of the Signy Island, I was invited to examine material of the farthest south collection of an aquatic moss by a team of American limnologists. This led to a brief review of Antarctic aquatic mosses [a related study of aquatic bryophytes from the highest Scottish lochs is referred to here, but is not included as part of the Doctorate submission]. An interesting situation has developed over the past 20 years at Signy Island. This concerns the interaction between a rapidly increasing population of fur seals (from a few dozen in 1965 to 13,350 in 1987) and the fragile and highly vulnerable plant communities. Much of the island's vegetation has been devastated or eradicated during the past five years and I have been able to quantitatively assess the changes induced by the seals by reanalysing several of precisely the same sites I studied 20 years earlier. During an ecological survey of part of Livingston Island, South Shetland Islands, and having an increasing interest in the spread of fur seals and their impact on terrestrial ecosystems, I undertood an investigation of the early history of the Antarctic fur seal industry in the 1800s and of the 'archaeological' sites (sealers' refuges) which abound on that island. My ecophysiological research included a study of the influence of growth-form on the water relations of mosses at Signy Island. Some comparable studies at a continental site are being prepared for an international symposium in Kiel, West Germany, September 1987. Several studies have been made of the chemistry of South Georgia and Signy Island plants, including one on the amount of DNA in the chromosomes of alien and native vascular species; low DNA levels in the former category of plants at South Georgia and in Europe have provided a possible explanation for the survival of certain plants under extreme climatic conditions. A review paper on plant nutrient cycling in the Antarctic and sub-Antarctic was an invited keynote presentation read at a major international symposium in South Africa. Ecological studies at both South Georgia and throughout the maritime Antarctic resulted in extensive collections of all plant groups being made. Many accounts by specialists in bryophyte and lichen taxonomy have been published based on these collections, but I have published several largely ecological papers on fungi and introduced vascular plants, including stranded trees. The combined studies of tussock grass, plant communities, the ecology and chemistry of individual native and introduced phanerogams (especially Poa annua) on South Georgia, in conjunction with a major study of the introduced reindeer on that island by another biologist, has led to a series of papers on the impact of reindeer on the vegetation. The wide spectrum of my research has allowed me to build up a high degree of first-hand knowledge and expertise in Antarctic and sub-Antarctic plant ecology, and of biological and environmental features generally. Consequently, I have written several general or popular accounts, as well as major review works. More recently I have also become involved in matters concerning conservation areas (Sites of Special Scientific Interest and Specially Protected Areas), environmental impact and conservation policy as it relates to national activities throughout the Antarctic and sub-Antarctic biomes. I co-edited a book on conservation areas in the Antarctic, writing eleven of the SPA/SSSI accounts from first-hand experience of each.
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TEALDI, STEFANO. "River - Riparian Vegetation Interactions". Doctoral thesis, Politecnico di Torino, 2012. http://hdl.handle.net/11583/2497016.

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The river and the riparian ecosystem are two dynamical systems which exhibit complex spatio-temporal interactions. Because of the possible implications for engineering works and environmental management, in recent times a number of studies has focused on this topic, considering both large- and small-scale problems. Riparius is a latin word which derives from ripa (riverbank) and means 'that frequents riverbanks'. The riparian ecosystem is thus a community of individuals which lives close to the river and is regularly influenced by fresh water. Both the flora and the fauna are part of this highly dynamic community, and the research in this years has produced results for both the groups. In this thesis the attention will be focused on plants. Riparian vegetation is of great interest because of its double role, passive and active. In the first role (i.e. the passive one) the biological activity is not considered and only the effect of vegetation morphological and mechanical characteristics on river dynamics is discussed. From this point of view vegetation merely affects the roughness, hydraulic resistance, and bank erodibility in the same manner as any a-biotic element with the same mechanical and morphological characteristics. The active role is due to the biotic changes intrinsic to living vegetation. From this point of view, vegetation is no longer seen as a static element, but as an element with temporal and spatial dynamics, which can influence the geomorphology of the river. In fact, if the vegetation distribution along the banks changes, or the native species are substituted by exotic ones, the mechanical effects of vegetation change, leading then to possible changes of river geometry. Riparian vegetation is closely linked to the hydrology of the river, in particular to the stochastic water level fluctuations and to the erosion/sedimentation processes. Floods and erosion/ sedimentation processes, in fact, influence the growth of plants to a great extent. Flood events are able to destroy the vegetation because they can cause physical damage, uprooting and sediment removal, anoxia and burial. The stochastic nature of floods is therefore a key point for the vegetation dynamics. In fact, the random water stage fluctuations drive the alternation of periods of exposure and submersion, which cause the alternation of growth and decay of vegetation. Erosion/sedimentation processes are also fundamental for the vegetation dynamics, because they can cause extirpation (erosion) or provide protection and nutrients during the growth phase (sedimentation). In turn, erosion and sedimentation rates are modified by the vegetation, because the vegetation protects the site from erosion and increases hydraulic roughness, enhancing fine sediment deposition and contributing to the aggradation of the site. In this complex scenario, in which vegetation influences and is influenced by hydrological forcings, it is important to develop analytical models able to consider all these interactions. These models can be used as tools for river management and restoration projects, in order to carefully plan the anthropic disturbances on the river and, thus, reduce the impacts on the riparian ecosystem. In fact, several works in literature report drastic changes of vegetation (shifts, invasion of exotic species in spice of native ones, reduction of biomasses etc.) and of river geometry (narrowing/widening processes, degradation/aggradation of the bed quote etc.), which perhaps could have been reduced with the use of a proper model. The first part of this thesis is devoted to the study of the interplay between river meandering, discharge stochasticity and riparian vegetation. In particular it will be studied the impact of river sinuosity on the total vegetation biomass. In the second part of this thesis it will be studied how the coefficient of dispersion varies in presence of riparian vegetation when medium/high discharges flow in the river. In the third part of this thesis it will be analyzed how the effect of cooperation/competions impacts the distribution of the vegetation along the transect. In the fourth part of this thesis a model will be developed in order to quantitatively analyze how the construction of a dam along a river is able to influence the vegetation. In the fifth part of this thesis a model will be developed in order to quantitatively evaluate the amount of the changes in cross-section after hydrological changes.
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Książki na temat "Vegetation"

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Triennale der Photographie (3rd : 2005 : Hamburg, Germany), red. Vegetation. Hamburg: Blauflug-Verlag, 2005.

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Lamsechi, Guita, i Beatrice Trînca, red. Spiritual Vegetation. Göttingen: V&R unipress, 2022. http://dx.doi.org/10.14220/9783737014267.

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Huntley, B., i T. Webb, red. Vegetation history. Dordrecht: Springer Netherlands, 1988. http://dx.doi.org/10.1007/978-94-009-3081-0.

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Küchler, A. W., i I. S. Zonneveld, red. Vegetation mapping. Dordrecht: Springer Netherlands, 1988. http://dx.doi.org/10.1007/978-94-009-3083-4.

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Pfadenhauer, Jörg S., i Frank A. Klötzli. Global Vegetation. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-49860-3.

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Zahran, M. A. Climate - Vegetation. Redaktor Francis Gilbert. Dordrecht: Springer Netherlands, 2010. http://dx.doi.org/10.1007/978-90-481-8595-5.

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van der Maarel, Eddy, i Janet Franklin, red. Vegetation Ecology. Oxford, UK: John Wiley & Sons, Ltd, 2013. http://dx.doi.org/10.1002/9781118452592.

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H, Groves R., red. Australian vegetation. Wyd. 2. Cambridge [England]: Cambridge University Press, 1994.

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Maarel, E. van der, i Janet Franklin. Vegetation ecology. Wyd. 2. Hoboken, NJ: Wiley-Blackwell, 2013.

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Holland, V. L. California vegetation. Dubuque, Iowa: Kendall/Hunt Pub. Co., 1995.

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Części książek na temat "Vegetation"

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Schmidt, W. "Vegetation". W Ecological Studies, 65–86. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/b82392_6.

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Brown, Gary, i Bruno A. Mies. "Vegetation". W Vegetation Ecology of Socotra, 141–257. Dordrecht: Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-94-007-4141-6_6.

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Roos, Rein A. "Vegetation". W The Forgotten Pollution, 13–86. Dordrecht: Springer Netherlands, 1996. http://dx.doi.org/10.1007/978-94-015-8721-1_1.

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Matteucci, Silvia D., Andrea F. Rodríguez i Mariana E. Silva. "Vegetation". W World Soils Book Series, 49–62. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-76853-3_4.

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Pavlović, Pavle, Nikola Kostić, Branko Karadžić i Miroslava Mitrović. "Vegetation". W World Soils Book Series, 41–54. Dordrecht: Springer Netherlands, 2017. http://dx.doi.org/10.1007/978-94-017-8660-7_4.

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Schinner, Franz, i Renate Sonnleitner. "Vegetation". W Bodenökologie: Mikrobiologie und Bodenenzymatik Band I, 295–344. Berlin, Heidelberg: Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/978-3-642-80175-4_6.

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Arthur, Mary A. "Vegetation". W Biogeochemistry of a Subalpine Ecosystem, 76–92. New York, NY: Springer New York, 1992. http://dx.doi.org/10.1007/978-1-4612-2788-5_5.

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Schmidt, Marcus, Egbert Schönfelder, Uwe Paar i Jan Evers. "Vegetation". W Beiträge aus der Nordwestdeutschen Forstlichen Versuchsanstalt, 293–318. Göttingen: Göttingen University Press, 2022. http://dx.doi.org/10.17875/gup2021-2201.

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Schmidt, Marcus, Egbert Schönfelder, Uwe Paar i Jan Evers. "Vegetation". W Beiträge aus der Nordwestdeutschen Forstlichen Versuchsanstalt, 293–318. Göttingen: Göttingen University Press, 2022. http://dx.doi.org/10.17875/gup2022-2201.

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Atalay, İbrahim. "Vegetation". W World Soils Book Series, 15–24. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-64392-2_2.

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Streszczenia konferencji na temat "Vegetation"

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Kim, Yong-Hyun, Jae-Hong Oh, Jae-Wan Choi i Yong-Il Kim. "Comparative analysis of the hyperspectral vegetatation index and radar vegetation index: A novel fusion vegetation index". W 2015 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS). IEEE, 2015. http://dx.doi.org/10.1109/whispers.2015.8075434.

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Gupta, Aditya, Manasa R. Behera i Amin Heidarpour. "Numerical Modeling of Wave Damping Induced by Emerged Moving Vegetation". W ASME 2020 39th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/omae2020-18588.

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Abstract The unprecedented risk of global warming has put the coastal population at greater risk from coastal hazards due to an increase in sea level and other storm-related activities. Coastal vegetations are one of the soft solutions that can be implemented for wave mitigation. This study aims to investigate the wave damping effect of a regular wave by emergent moving coastal vegetation. Smoothed Particle Hydrodynamics (SPH), a particle-based method is used for generating fluid particles and Differential Variational Inequality (DVI) is coupled with SPH to deal with the dynamics of moving vegetation. The 3-D numerical model is simulated using an open-source tool DualSPHysics 4.4. The model is tested for regular wave height (H) of 0.08 m, wave period (T) of 2 seconds in a water depth (d) of 0.40 and 0.45 m for two relative vegetation height (h/d) of 1.25 and 1.11 respectively. The results are validated with the experimental study for the rigid vegetation and then the model is extended for moving vegetation. The results indicate that the wave damping is overestimated in the case of rigid vegetation. Further, the application of this study can be extended for studying the tsunami hazard mitigation in the presence of coastal forest.
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Hornbuckle, Brian. "Vegetation Water Content… Or Vegetation Canopy Water?" W IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2023. http://dx.doi.org/10.1109/igarss52108.2023.10283364.

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Pulitini, P., Marc Barillot, T. Gentet i Jean-Francois Reulet. "Vegetation payload". W Garmisch - DL tentative, redaktorzy Guy Cerutti-Maori i Philippe Roussel. SPIE, 1994. http://dx.doi.org/10.1117/12.185251.

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Santi, E., S. Paloscia i P. Pampaloni. "Multifrequency microwave vegetation indexes for estimating vegetation biomass". W IGARSS 2015 - 2015 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2015. http://dx.doi.org/10.1109/igarss.2015.7327002.

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Yang, Zhengwei, Liping Di, Genong Yu i Zeqiang Chen. "Vegetation condition indices for crop vegetation condition monitoring". W IGARSS 2011 - 2011 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2011. http://dx.doi.org/10.1109/igarss.2011.6049984.

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Tao, Jing, Jiancheng Shi, Tom Jackson, Rajat Bindlish, Jinyang Du i Lixin Zhang. "Monitoring Vegetation Water Content Using Microwave Vegetation Indices". W IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2008. http://dx.doi.org/10.1109/igarss.2008.4778827.

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Ali, Mr Shadab, Dr Tasneem Ahmed, Dr Santosh Kumar Dwivedi, Mr Ajeet Singh i Mr Ashwin Kumar Shrivastava. "IMPACT OF URBAN VEGETATION IN SUSTAINABLE SMART CITIES DEVELOPMENT: A COMPREHENSIVE APPRAISAL". W Computing for Sustainable Innovation: Shaping Tomorrow’s World. Innovative Research Publication, 2024. http://dx.doi.org/10.55524/csistw.2024.12.1.33.

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Urban vegetation is the crucial need for the sustainable development of green smart cities. In the current green smart cities, absence of urban vegetation causes unusual high temperature and adverse effect of human health like heat stroke, headache, dehydration, cardiovascular, respiratory etc. This article offers an extensive examination of image processing methods employed in the assessment of urban vegetation. Urban environments often suffer from a scarcity of green areas, underscoring the importance of comprehending and tracking vegetation's condition and distribution for both environmental and human welfare. Notably, high-resolution aerial and satellite imagery, especially satellite images, serve as invaluable resources for evaluating urban vegetation. Within this paper, we delve into cutting-edge image processing techniques used in urban vegetation research, with a primary focus on classification, segmentation, and change detection algorithms. The study scrutinizes a range of approaches for feature extraction and classification, encompassing methodologies like texture analysis, spectral indices, and object-based analysis. Additionally, we explore machine learning and deep learning integration, multi-sensor data fusion, and the adoption of emerging technologies such as LiDAR and hyper spectral imaging as limitations and future avenues in urban vegetation analysis. The insights derived from this review will prove beneficial to researchers, practitioners, and policymakers involved in endeavors aimed at monitoring and enhancing green spaces within urban areas.
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ASAEDA, TAKASHI, BHAGYA NALLAPERUMA, MAHENDRA B. BANIYA i SENAVIRATHNA MDH JAYASHANKA. "RIPARIAN VEGETATION CLASSIFICATION USING THE DYNAMIC RIPARIAN VEGETATION MODEL". W 38th IAHR World Congress. The International Association for Hydro-Environment Engineering and Research (IAHR), 2019. http://dx.doi.org/10.3850/38wc092019-0989.

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Wang, Lujue, Yangjie Wu i Jinguo Yuan. "Vegetation analysis of Hebei province using SPOT-VEGETATION NDVI". W 2010 18th International Conference on Geoinformatics. IEEE, 2010. http://dx.doi.org/10.1109/geoinformatics.2010.5567955.

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Raporty organizacyjne na temat "Vegetation"

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Frankenstein, Susan, i George Koenig. FASST Vegetation Models. Fort Belvoir, VA: Defense Technical Information Center, grudzień 2004. http://dx.doi.org/10.21236/ada428989.

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Nelson, Matthew, Liam Wedell, Julia Oliveto, Alexander Josephson i Rodman Linn. Canonical Vegetation Simulations. Office of Scientific and Technical Information (OSTI), październik 2023. http://dx.doi.org/10.2172/2007338.

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Antonio, E. J. Soil and vegetation surveillance. Office of Scientific and Technical Information (OSTI), czerwiec 1995. http://dx.doi.org/10.2172/433034.

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Anderson, Mary E., Jane M. Smith i S. K. McKay. Wave Dissipation by Vegetation. Fort Belvoir, VA: Defense Technical Information Center, wrzesień 2011. http://dx.doi.org/10.21236/ad1003881.

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Viereck, L. A., C. T. Dyrness, A. R. Batten i K. J. Wenzlick. The Alaska vegetation classification. Portland, OR: U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station, 1992. http://dx.doi.org/10.2737/pnw-gtr-286.

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Grünberg, I., J. Boike, W. Cable i S. Lange. Vegetation - permafrost - climate interaction. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2019. http://dx.doi.org/10.4095/321047.

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MacDonald, G. M. Postglacial vegetation and climate. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2000. http://dx.doi.org/10.4095/211913.

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Mancuso, Michael, i Robert Moseley. Vegetation Description, Rare Plant Inventory, and Vegetation Monitoring for Craig Mountain, Idaho. Office of Scientific and Technical Information (OSTI), grudzień 1994. http://dx.doi.org/10.2172/226017.

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Jackson, Samuel, Christina Saltus, Molly Reif i Glenn Suir. During Nearshore Event Vegetation Gradation (DUNEVEG) : geospatial tools for automating remote vegetation extraction. Engineer Research and Development Center (U.S.), wrzesień 2023. http://dx.doi.org/10.21079/11681/47649.

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Monitoring and modeling of coastal vegetation and ecosystems are major challenges, especially when considering environmental response to hazards, disturbances, and management activities. Remote sensing applications can provide alternatives and complementary approaches to the often costly and laborious field-based collection methods traditionally used for coastal ecosystem monitoring. New and improved sensors and data analysis techniques have become available, making remote sensing applications attractive for evaluation and potential use in monitoring coastal vegetation properties and ecosystem conditions and changes. This study involves the extraction of vegetation metrics from airborne lidar and hyperspectral imagery (HSI) collected by the US Army Corps of Engineers (USACE) National Coastal Mapping Program (NCMP) to quantify coastal dune vegetation characteristics. A custom geoprocessing toolbox and associated suite of tools were developed to allow inputs of common NCMP lidar and imagery products to help automate the workflow for extracting prioritized dune vegetation metrics in an efficient and repeatable way. This study advances existing coastal ecosystem knowledge and remote sensing techniques by developing new methodologies to classify, quantify, and estimate critical coastal vegetation metrics which will ultimately improve future estimates and predictions of nearshore dynamics and impacts from disturbance events.
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Dennis Hansen and Kent Ostler. Vegetation Change Analyses User's Manual. Test accounts, październik 2002. http://dx.doi.org/10.2172/901988.

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