Academic literature on the topic 'Vegetation series'

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Journal articles on the topic "Vegetation series"

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Simoniello, T., M. Lanfredi, M. Liberti, R. Coppola, and M. Macchiato. "Estimation of vegetation cover resilience from satellite time series." Hydrology and Earth System Sciences Discussions 5, no. 1 (2008): 511–46. http://dx.doi.org/10.5194/hessd-5-511-2008.

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Abstract. Resilience is a fundamental concept for understanding vegetation as a dynamic component of the climate system. It expresses the ability of ecosystems to tolerate disturbances and to recover their initial state. Recovery times are basic parameters of the vegetation's response to forcing and, therefore, are essential for describing realistic vegetation within dynamical models. Healthy vegetation tends to rapidly recover from shock and to persist in growth and expansion. On the contrary, climatic and anthropic stress can reduce resilience thus favouring persistent decrease in vegetation
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Simoniello, T., M. Lanfredi, M. Liberti, R. Coppola, and M. Macchiato. "Estimation of vegetation cover resilience from satellite time series." Hydrology and Earth System Sciences 12, no. 4 (2008): 1053–64. http://dx.doi.org/10.5194/hess-12-1053-2008.

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Abstract. Resilience is a fundamental concept for understanding vegetation as a dynamic component of the climate system. It expresses the ability of ecosystems to tolerate disturbances and to recover their initial state. Recovery times are basic parameters of the vegetation's response to forcing and, therefore, are essential for describing realistic vegetation within dynamical models. Healthy vegetation tends to rapidly recover from shock and to persist in growth and expansion. On the contrary, climatic and anthropic stress can reduce resilience thus favouring persistent decrease in vegetation
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Khan, Asim, Warda Asim, Anwaar Ulhaq, and Randall W. Robinson. "A deep semantic vegetation health monitoring platform for citizen science imaging data." PLOS ONE 17, no. 7 (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 scien
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Dobremez, J. F. "Vegetation classification and vegetation mapping in the Himalayas." Geobotanical mapping, no. 1994-1995 (1996): 45–50. http://dx.doi.org/10.31111/geobotmap/1994-1995.45.

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In the introduction the history of botanical exploration of the Himalayas is considered starting from the late XVIIIth century up to present time. The next part of the article is devoted to the history of vegetation mapping proper. Vegetation maps relating to the Himalayas as a whole and to its different parts are enumerated including the vegetation map of Nepal in 8 sheets at scale 1 : 2 500 000 by the author (1971 to 1985) and his two large-scale maps (1 : 50 000) covering small areas in Eastern and Central Nepal (1974 and 1977). The above vegetation maps have been constructed using the basi
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Patel, J. H., and M. P. Oza. "Deriving crop calendar using NDVI time-series." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-8 (November 28, 2014): 869–73. http://dx.doi.org/10.5194/isprsarchives-xl-8-869-2014.

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Agricultural intensification is defined in terms as cropping intensity, which is the numbers of crops (single, double and triple) per year in a unit cropland area. Information about crop calendar (i.e. number of crops in a parcel of land and their planting & harvesting dates and date of peak vegetative stage) is essential for proper management of agriculture. Remote sensing sensors provide a regular, consistent and reliable measurement of vegetation response at various growth stages of crop. Therefore it is ideally suited for monitoring purpose. The spectral response of vegetation, as meas
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Rivas-Martínez, S., and D. Sánchez-Mata. "Boreal vegetation series of North America." Plant Biosystems - An International Journal Dealing with all Aspects of Plant Biology 145, sup1 (2011): 208–19. http://dx.doi.org/10.1080/11263504.2011.602742.

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Liu, Gui Xiang, Zhuo Yi, Feng Ming Yu, and Chun Long Jiang. "Study on Effect of Drought Based on Time Series on Grassland Vegetation in Eastern Inner Mongolia." Advanced Materials Research 518-523 (May 2012): 5306–15. http://dx.doi.org/10.4028/www.scientific.net/amr.518-523.5306.

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This paper, based on the long sequence meteorological data and the MODIS remote sensing data, calculates the every-ten-day NDVI index and SPI index of the grassland vegetation in the Eastern Inner Mongolia between 2006 and 2010. It applies the SPI index to indicate the degree of drought and the NDVI index to represent the growth status of the grassland vegetation. This paper analyzes the relationship between the NDVI index and the SPI index by the Time Series Spectrum Analysis Method, leading to the conclusion that the vegetations are sensitive to the drought in the green-turning and yellowing
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Sun, Chao, Jialin Li, Luodan Cao, Yongchao Liu, Song Jin, and Bingxue Zhao. "Evaluation of Vegetation Index-Based Curve Fitting Models for Accurate Classification of Salt Marsh Vegetation Using Sentinel-2 Time-Series." Sensors 20, no. 19 (2020): 5551. http://dx.doi.org/10.3390/s20195551.

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The successful launch of the Sentinel-2 constellation satellite, along with advanced cloud detection algorithms, has enabled the generation of continuous time series at high spatial and temporal resolutions, which is in turn expected to enable the classification of salt marsh vegetation over larger spatiotemporal scales. This study presents a critical comparison of vegetation index (VI) and curve fitting methods—two key factors for time series construction that potentially influence vegetation classification performance. To accomplish this objective, the stability of five different VI time ser
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Osipov, S. V., and V. P. Verkholat. "The large-scale vegetation maps of the western coast of Peter the Great Bay (Far East, the Sea of Japan)." Geobotanical mapping, no. 1998-2000 (2000): 50–61. http://dx.doi.org/10.31111/geobotmap/1998-2000.50.

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Two territories on the western coast of Peter the Great Bay were mapped in the large scale. The geobotanical mapping means revealing and displaying the essential regularities of vegetation cover. Both the spatial and temporal regularities of vegetation under natural and anthropogenic influences are well pronounced in the territory under consideration. The concept of the vegetation spatial unit (vegetation complexes) was applied as a basis for mapping. The maps and their legend were worked out as a system of vegetation combination types (vegetation combination is a spatial unit of the supracoen
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Li, Chong, Qianzuo Zhao, Junyuan Fei, Lei Cui, Xiu Zhang, and Guodong Yin. "Prediction of Vegetation Indices Series Based on SWAT-ML: A Case Study in the Jinsha River Basin." Remote Sensing 17, no. 6 (2025): 958. https://doi.org/10.3390/rs17060958.

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Vegetation dynamics significantly influence watershed ecohydrological processes. Physically based hydrological models often have general plant development descriptions but lack vegetation dynamics data for ecohydrological simulations. Solar-induced chlorophyll fluorescence (SIF) and the Normalized Difference Vegetation Index (NDVI) are widely used in monitoring vegetation dynamics and ecohydrological research. Accurately predicting long-term SIF and NDVI dynamics can support the monitoring of vegetation anomalies and trends. This study proposed a SWAT-ML framework, combining the Soil and Water
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Dissertations / Theses on the topic "Vegetation series"

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Wahrman, Spencer A. "Time Series Analysis of Vegetation Change using Hyperspectral and Multispectral Data." Thesis, Monterey, California. Naval Postgraduate School, 2012. http://hdl.handle.net/10945/17473.

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Approved for public release; distribution is unlimited<br>Grand Lake, Colorado has experienced a severe mountain pine beetle outbreak over the past twenty years. The aim of this study was to map lodgepole pine mortality and health decline due to mountain pine beetle. Multispectral data spanning a five-year period from 2006 to 2011 were used to assess the progression from live, green trees to dead, gray-brown trees. IKONOS data from 2011 were corrected to reflectance and validated against an Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) hyperspectral dataset, also collected during 201
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Julien, Yves. "Vegetation monitoring through retrieval of NDVI and LST time series from historical databases." Doctoral thesis, Universitat de València, 2008. http://hdl.handle.net/10803/10343.

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The PhD dissertation presented here falls into the Earth Observation field, specifically vegetation monitoring. This work consists in the extensive exploitation of historical databases of satellite images for vegetation monitoring through two parameters, which are the land surface temperature (LST) and a vegetation index (NDVI). Up to now, vegetation monitoring has been limited to the use of vegetation indices, so the addition of the land surface temperature parameter represents the main innovative character of this PhD study.This dissertation is divided into 5 chapters. The first chapter begi
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Julien, Yves Rodriguez Sobrino José Antonio Nerry Françoise. "Vegetation monitoring through retrieval of NDVI and LST time series from historical databases." Strasbourg : Université Louis Pasteur, 2008. http://eprints-scd-ulp.u-strasbg.fr:8080/1021/01/JULIEN_Yves_2008.pdf.

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Thèse de doctorat : Electronique, électrotechnique, automatique : Strasbourg 1 : 2008. Tesis doctoral : Electrónica, electrotécnica, automático : Universitat de València : 2008.<br>Thèse soutenue sur un ensemble de travaux. Thèse soutenue en co-tutelle. Titre provenant de l'écran-titre. Bibliogr. 34 p.
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Ratana, Piyachat. "Spatial and Temporal Amazon Vegetation Dynamics and Phenology Using Time Series Satellite Data." Diss., The University of Arizona, 2006. http://hdl.handle.net/10150/194427.

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Improved knowledge of landscape seasonal variations and phenology at the regional scale is needed for carbon and water flux studies, and biogeochemical, hydrological, and climate models. Amazon vegetation mechanisms and dynamics controlling biosphere-atmosphere interactions are not entirely understood. To better understand these processes, vegetation photosynthetic activity and canopy water and temperature dynamics were analyzed over various types of vegetation in Amazon using satellite data from the Terra-Moderate Resolution Imaging Spectroradiometer (MODIS). The objectives of this dissertati
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Gebrehiwot, Worku Zewdie. "Climate, land use and vegetation trends." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2016. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-209668.

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Land use / land cover (LULC) change assessment is getting more consideration by global environmental change studies as land use change is exposing dryland environments for transitions and higher rates of resource depletion. The semiarid regions of northwestern Ethiopia are not different as land use transition is the major problem of the region. However, there is no satisfactory study to quantify the change process of the region up to now. Hence, spatiotemporal change analysis is vital for understanding and identification of major threats and solicit solutions for sustainable management of the
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Tomás, Ana Raquel Dias. "Application of empirical mode decomposition (EMD) to chronological series of active fires from MODIS satellite." Master's thesis, ISA/UTL, 2011. http://hdl.handle.net/10400.5/4481.

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Mestrado em Engenharia Florestal e dos Recursos Naturais - Instituto Superior de Agronomia<br>Fire is a global phenomenon, acting as an important disturbance process. Africa is one of the continents that has higher fire density, particularly in savanna regions, making it the subject of innumerous studies about fire regime and behavior. Here, a new method of time series analysis called Empirical Mode Decomposition (EMD) was applied to monthly fire counts time series from MODIS Terra/Aqua sensors. The goals were to analyze the differences between the time series from the two instruments (MODIS T
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Casady, Grant M. "Examining Drivers of Post-Wildfire Vegetation Dynamics Across Multiple Scales Using Time-Series Remote Sensing." Diss., The University of Arizona, 2008. http://hdl.handle.net/10150/195408.

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Ecosystem response to disturbance is a function of environmental factors interacting at a number of spatio-temporal scales. This research explored ecosystem response to wildfire as a function of local and broad-scale environmental factors using satellite based time-series remote sensing data. This topic was explored as a series of three independent but related studies. The first study focused on the evaluation of techniques for the analysis of time-series satellite data for describing post-fire vegetation trends at sites in the US, Spain, and Israel. Time-series data effectively described
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González, Garcia Isabel. "Influência do clima nas variações estacionais e interanuais do indice de vegetação de diferença normalizada (NDVI) no montado português." Master's thesis, ISA/UTL, 2012. http://hdl.handle.net/10400.5/5467.

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Mestrado em Engenharia do Ambiente - Instituto Superior de Agronomia<br>Nowadays the climate change makes more necessary the study of ecosystem dynamics. The Portuguese montado is an ecosystem with very particular characteristics, because is a combined system with pastures and forest, managed by men, and depends on this manage to continue. More than economic value, montado is very important system with a big biodiversity and landscape quality. For this study was propose to study about the seasonal variation of montado, since 2000 to 2012, using remote sensing and vegetation index as tools to a
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Wessollek, Christine, Babatunde Osunmadewa, and Pierre Karrasch. "Introducing a rain-adjusted vegetation index (RAVI) for improvement of long-term trend analyses in vegetation dynamics." SPIE, 2015. https://tud.qucosa.de/id/qucosa%3A35057.

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It seems to be obvious that precipitation has a major impact on greening during the rainy season in semi-arid regions. First results1 imply a strong dependence of NDVI on rainfall. Therefore it will be necessary to consider specific rainfall events besides the known ordinary annual cycle. Based on this fundamental idea, the paper will introduce the development of a rain adjusted vegetation index (RAVI). The index is based on the enhancement of the well-known normalized difference vegetation index (NDVI2) by means of TAMSAT rainfall data and includes a 3-step procedure of determining RAVI. With
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Fernandes, Jeferson Lobato. "Monitoramento da cultura de cana-de-açucar no Estado de São Paulo por meio de imagens spot vegetation e dados meteorologicos." [s.n.], 2009. http://repositorio.unicamp.br/jspui/handle/REPOSIP/256961.

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Orientadores: Jansle Vieira Rocha, Rubens Augusto Camargo Lamparelli<br>Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Agricola<br>Made available in DSpace on 2018-08-14T11:30:01Z (GMT). No. of bitstreams: 1 Fernandes_JefersonLobato_M.pdf: 2074887 bytes, checksum: af58e53746d7d186e6f1331527b3c3e8 (MD5) Previous issue date: 2009<br>Resumo: O atual sistema de previsão de safras para a cultura da cana-de-açúcar utilizado no Brasil depende, em boa parte, de informações subjetivas, baseadas no conhecimento de técnicos do setor e informações da cadeia produtiva
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Books on the topic "Vegetation series"

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United States. Forest Service. Pacific Northwest Region., ed. The grand fir series of northeastern Oregon and Southeastern Washington: Successional stages and management guide. U.S. Dept. of Agriculture, Forest Service, Pacific Northwest Region, Wallowa-Whitman National Forest, 1993.

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United States. Forest Service. Pacific Northwest Region., ed. The grand fir series of northeastern Oregon and Southeastern Washington: Successional stages and management guide. U.S. Dept. of Agriculture, Forest Service, Pacific Northwest Region, Wallowa-Whitman National Forest, 1993.

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United States. National Aeronautics and Space Administration., ed. Study of atmospheric and bidirectional effects on surface reflectance and vegetation index time series: Application to NOAA AVHRR and preparation for future space missions : final report. National Aeronautics and Space Administration, 1993.

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L, Kovalchik Bernard. Classification and management of aquatic, riparian and wetland sites on the national forests of Eastern Washington : series descriptions. U.S. Dept. of Agriculture, Forest Service, Pacific Northwest Research Station, 2004.

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F, Hessburg Paul, and Pacific Northwest Research Station (Portland, Or.), eds. Classifying plant series-level forest potential vegetation types: Methods for subbasins sampled in the midscale assessment of the interior Columbia Basin. U.S. Dept. of Agriculture, Forest Service, Pacific Northwest Research Station, 2000.

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L, Kovalchik Bernard. Classification and management of aquatic, riparian and wetland sites on the national forests of eastern Washington: Series description. U.S. Dept. of Agriculture, Forest Service, Pacific Northwest Research Station, 2004.

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Don, Scott A., and Langley Research Center, eds. Compendium of NASA data base for the Global Tropospheric Experiment's Transport and Atmospheric Chemistry near the Equator - Atlantic (Trace-A). National Aeronautics and Space Administration, Langley Research Center, 1995.

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US DEPARTMENT OF AGRICULTURE. 'Ruby' redosier dogwood. U.S. Dept. of Agriculture, 1989.

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Austin, M. Vegetation Analysis (Population & Community Biology Series). Kluwer Academic Publishers, 1994.

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Reitsma, J. M. Vegetation Forestiere Du Gabon / Forest Vegetation of Gabon (Tropenbos Technical Series). Tropenbos International, 1988.

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Book chapters on the topic "Vegetation series"

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Matteucci, Silvia D., Andrea F. Rodríguez, and Mariana E. Silva. "Vegetation." In World Soils Book Series. 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, and Miroslava Mitrović. "Vegetation." In World Soils Book Series. Springer Netherlands, 2017. http://dx.doi.org/10.1007/978-94-017-8660-7_4.

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

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De Graff, Jerome V. "Vegetation Cover." In Encyclopedia of Earth Sciences Series. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-73568-9_288.

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Arnalds, Olafur. "Vegetation and Ecosystems." In World Soils Book Series. Springer Netherlands, 2015. http://dx.doi.org/10.1007/978-94-017-9621-7_4.

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Giordano, Andrea. "Vegetation and Land Use." In World Soils Book Series. Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-94-007-5642-7_4.

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Farzaneh, Ali, and Morteza Ebrahimi Rastaghi. "Vegetation and Land Cover." In World Soils Book Series. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-69048-3_5.

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Imamul Huq, S. M., and Jalal Uddin Md. Shoaib. "Land Use and Vegetation." In World Soils Book Series. Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-94-007-1128-0_11.

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Defila, Claudio. "Do Phytophenological Series Contribute to Vegetation Monitoring?" In Tasks for vegetation science. Springer Netherlands, 2001. http://dx.doi.org/10.1007/978-94-015-9686-2_6.

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Hiemstra, Christopher A., and Glen E. Liston. "Snow and Vegetation Interaction." In Encyclopedia of Earth Sciences Series. Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-90-481-2642-2_527.

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Conference papers on the topic "Vegetation series"

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Matarrese, Raffaella, Andrea Guerriero, Antonella Corcella, Nicola Lucarelli, Annarita D’Addabbo, and Gaetano Alessandro Vivaldi. "Vegetation Indices Time Series to Discriminate Olive Trees Cultivars." In IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2024. http://dx.doi.org/10.1109/igarss53475.2024.10642169.

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Kim, Geunah, and Yangwon Lee. "Spatio-temporal predictive learning for time-series vegetation index." In Remote Sensing for Agriculture, Ecosystems, and Hydrology XXVI, edited by Christopher M. Neale, Antonino Maltese, Caroline Nichol, and Charles R. Bostater. SPIE, 2024. http://dx.doi.org/10.1117/12.3030899.

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JayaLakshmi, G., K. Rohith, T. Pranoom, and V. Hari Vamsi. "Vegetation Typification Integrated with Time Series Analyzed Machine Learning Algorithimic Model." In 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT). IEEE, 2024. http://dx.doi.org/10.1109/icccnt61001.2024.10723933.

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Wig, Elizabeth, Roger Michaelides, and Howard Zebker. "Measuring Changes in Vegetation Moisture from Insar Closure Phase Time Series." In IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2024. http://dx.doi.org/10.1109/igarss53475.2024.10641076.

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Zhao, Haoteng, Feng Gao, Martha Anderson, et al. "Phenologically Corrected Crop Condition Mapping and Assessment with Vegetation Index Time Series." In 2024 12th International Conference on Agro-Geoinformatics (Agro-Geoinformatics). IEEE, 2024. http://dx.doi.org/10.1109/agro-geoinformatics262780.2024.10660930.

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Tia, Xuehan, Xiuzhe Qi, Zhiyang Zhang, and Zhen Zhen. "Spatiotemporal Analysis of Vegetation Dynamics in Northeast China Based on Landsat Series Imageries from 1986 to 2021." In IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2024. http://dx.doi.org/10.1109/igarss53475.2024.10641640.

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Ma, Yinchi. "Study on detection method of vegetation ecology mutation based on NDVI long and short time series data." In Fourth International Conference on Optics and Image Processing (ICOIP 2024), edited by Xiaotao Hao and Chuan Qin. SPIE, 2024. http://dx.doi.org/10.1117/12.3039066.

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Borshchev, Dmitry, Dmitry Rukhovich, and Vasily Rashkovich. "SPECTRAL CHARACTERISTICS OF GROUPS AND TYPES OF LANDS, CONSTRUCTED BY AVERAGIN LONG-TERM SERIES OF VEGETATION INDECES." In 24th SGEM International Multidisciplinary Scientific GeoConference 2024. STEF92 Technology, 2024. https://doi.org/10.5593/sgem2024/3.1/s13.38.

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The optimal solution of intensification and ecologisation of agricultural production is achieved in adaptive-landscape farming systems. To solve the problems of adaptive landscape agriculture, classical methods of soil-landscape mapping and new methods of remote diagnostics of intra-field heterogeneity were combined to identify features that will further improve the efficiency of producing maps of groups and types of land and increase their accuracy. Identification of the spectral characteristics of groups and types of land has become possible due to neural network filtering of big remote sens
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Lhermitte, Stefaan, Jan Verbesselt, Willem W. Verstraeten, and Pol Coppin. "Assessing Vegetation Regrowth after Fire Based on Time Series of SPOT-VEGETATION Data." In 2007 International Workshop on the Analysis of Multi-temporal Remote Sensing Images. IEEE, 2007. http://dx.doi.org/10.1109/multitemp.2007.4293050.

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Liu, Yaokai, Xihan Mu, Yonggang Qian, Lingli Tang, and Chuanrong Li. "A vegetation phenology model for fractional vegetation cover retrieval using time series data." In IGARSS 2012 - 2012 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2012. http://dx.doi.org/10.1109/igarss.2012.6350588.

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Reports on the topic "Vegetation series"

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Melrose, Rachel, Jeff Kingwell, Leo Lymburner, and Rohan Coghlan. Murray-Darling Basin vegetation monitoring project : using time series Landsat Satellite data for the assessment of vegetation control. Geoscience Australia, 2013. http://dx.doi.org/10.11636/record.2013.037.

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Roessler, Sebastian, Andreas Dietz, and Samuel Schilling. Time series analysis of remotely sensed snow cover data: revealing permafrost thermal state and vegetation dynamics. International Permafrost Association (IPA), 2024. http://dx.doi.org/10.52381/icop2024.158.1.

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Sekoni, Tosin, Mark Eberle, Matthew Balazik, et al. The use of native vegetation and natural materials in shoreline stabilization : a case study of Bubble Gum Beach, Rehoboth Beach, Delaware. Engineer Research and Development Center (U.S.), 2023. http://dx.doi.org/10.21079/11681/47581.

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This technical note is the fourth in a series about using native plant communities to achieve engineering and ecological purposes such as shoreline stabilization, structural enhancements, habitat creation, and ecosystem development. In this series, we demonstrate the utility of natural materials (specifically, native vegetation, oyster reefs, and coir logs) in living shoreline projects. Plant species and plant communities play critical roles in wave attenuation and sediment accretion in coastal areas. The application of vegetation in the coastal areas, especially on the East and Gulf Coasts, h
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Smith, Sean, Lauren Youngblood, Micah Wright, and Phillip van Mantgem. Vegetation community monitoring: Forest structure in Klamath Network parks. National Park Service, 2025. https://doi.org/10.36967/2311589.

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The Klamath Network, comprising six national park units in northern California and southern Oregon, initiated a vegetation monitoring protocol in 2011 to discern ecologically significant vegetation trends in these parks. The premise of the protocol is that multivariate analyses of species composition data is the most robust means for early detection of vegetation change over time. Here, we present these community metrics based on our sampling efforts from 2011 to 2019. Observations from the first sampling event (2011–2013) were used to establish baseline conditions for the vegetation communiti
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Harris, Brian, Kathleen Harris, Navid Jafari, Jasmine Bekkaye, Elizabeth Murray, and Safra Altman. Selection of a time series of beneficial use wetland creation sites in the Sabine National Wildlife Refuge for use in restoration trajectory development. Engineer Research and Development Center (U.S.), 2023. http://dx.doi.org/10.21079/11681/47579.

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The development of regional restoration trajectories of marsh creation and nourishment projects is key to improved design, management, and implementation of adaptive management principles. Synthesizing information from multiple marsh creation projects constructed at various times but with consistent site characteristics and borrow material sources, helps elucidate restoration success in a specific region. Specifically, this technical note (TN) documents the process of determining a suitable study area, construction methods, and the current state of establishing sites in the Louisiana Gulf Coas
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Mudge, Christopher, and Kurt Getsinger. Comparison of generic and proprietary aquatic herbicides for control of invasive vegetation; part 3 : submersed plants. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/42061.

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Herbicide selection is key to efficiently managing nuisance vegetation in our nation’s waterways. After selecting the active ingredient, there still remains multiple proprietary and generic products to choose from. Recent small-scale research has been conducted to compare the efficacy of these herbicides against floating and emergent species. Therefore, a series of mesocosm and growth chamber trials were conducted to evaluate subsurface applications of the following herbicides against submersed plants: diquat versus coontail (Ceratophyllum demersum L.), hydrilla (Hydrilla verticillata L.f. Roy
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Herman, Brook, Paula Whitfield, Jenny Davis, et al. Swan Island resilience model development; Phase I : conceptual model. Engineer Research and Development Center (U.S.), 2023. http://dx.doi.org/10.21079/11681/46402.

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This report documents the development of an integrated hydrodynamic and ecological model to test assumptions about island resilience. Swan Island, a 25-acre island in Chesapeake Bay, Maryland, was used as a case study. An interagency, interdisciplinary team of scientists and engineers came together in a series of workshops to develop a simplified resilience model to examine the ability of islands to reduce waves and erosion and the impacts to nearby habitats and shorelines. This report describes the model development process and the results from this first key step: model conceptualization. Th
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Hartshorn, Caylin, and Benjamin Barrowes. Finite element modeling of aquatic electrical barriers—voltage and current distributions : Brandon Road Lock and Dam Interbasin Project—electric fish deterrent design recommendations. Engineer Research and Development Center (U.S.), 2024. http://dx.doi.org/10.21079/11681/49458.

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Invasive carp (black, grass, silver, and bighead) are native to Asia and were imported into the US during the 1970s and 1980s to help fish farmers manage water quality and vegetation. Unfortunately, these carp became established in the Mississippi River and have led to a decline in native fish species. To prevent their spread from the Mississippi River Basin to the Great Lakes Basin via the Chicago Area Waterway System (CAWS), the US Army Corps of Engineers (USACE) operates a series of four electric dispersal barriers near Romeoville, Illinois in the Chicago Sanitary and Ship Canal (CSSC). To
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Swanson, David, and Celia Hampton-Miller. Drained lakes in Bering Land Bridge National Preserve: Vegetation succession and impacts on loon habitat. National Park Service, 2023. http://dx.doi.org/10.36967/2296593.

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The northern coastal plain of Bering Land Bridge National Preserve (BELA) lost lakes at an alarming rate over the first two decades of this century, including four lakes over 100 ha in size in 2018-2019 alone. To understand the effects of these lake drainages, we sampled vegetation of these lakes in 2019 (a reconnaissance visit) and 2021 (for the installation of permanent vegetation monitoring plots). We used these data to summarize the changes that occurred in the first three years after drainage, and to create vegetation maps from 3-m resolution satellite images coinciding with the visit dat
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Bradford, John, Caroline Havrilla, Jessica Hartsell, et al. Southeast Utah Group climate and drought adaptation report: Exposure and perennial grass sensitivity. National Park Service, 2022. http://dx.doi.org/10.36967/2293951.

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National Park Service (NPS) managers face growing challenges resulting from the effects of climate change. In particular, as temperatures rise in coming decades, natural resource management in the western United States must cope with expectations for elevated severity and frequency of droughts. These challenges are particularly pronounced for vegetation managers in dryland environments. Developing adaptive strategies requires specific information about the expected magnitude of change in climate and drought conditions as well as insights into how those changes will affect important vegetation
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