MODIS vegetation indices

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Show simple item record Huete, Alfredo en_US Didan, Kamel en_US Van Leeuwen, Willem en_US
dc.contributor.editor Ramachandran, B., Justice, C.O., and Abrams, M. en_US 2012-10-12T03:31:36Z 2012-10-12T03:31:36Z 2011 en_US
dc.identifier 2010005440 en_US
dc.identifier.citation Huete Alfredo, Didan Kamel, and Van Leeuwen Willem 2011, 'MODIS vegetation indices', Springer-Verlag, New York, pp. 579-602. en_US
dc.identifier.issn 978-1-4419-6748-0 en_US
dc.identifier.other B1UNSUBMIT en_US
dc.description.abstract Assessments of vegetation condition, cover, change, and processes are major components of global change research programs, and are topics of considerable societal relevance. Spectral vegetation indices are among the most widely used satellite data products, which provide key measurements for climate, hydrologic, and biogeochemical studies; phenology, land cover, and land cover change detection; natural resource management and sustainable development. Vegetation indices (VI) are robust and seamless data products computed similarly across all pixels in time and space, regardless of biome type, land cover condition, and soil type, and thus represent true surface measurements. The simplicity of VIs enables their amalgamation across sensor systems, which facilitates an ensured continuity of critical datasets for long-term land surface modeling and climate change studies. Currently, a more than two decades long NOAA Advanced Very High Resolution Radiometer (AVHRR)-derived consistent global normalized difference vegetation index (NDVI) land record exists, which has contributed significantly to global biome, ecosystem, and agricultural studies. en_US
dc.language en_US
dc.publisher Springer-Verlag en_US
dc.relation.isbasedon en_US
dc.title MODIS vegetation indices en_US
dc.parent Land Remote Sensing and Global Environmental Change: NASA's Earth Observing System and the Science o en_US
dc.journal.volume en_US
dc.journal.number en_US
dc.publocation New York en_US
dc.identifier.startpage 579 en_US
dc.identifier.endpage 602 en_US SCI.Faculty of Science en_US
dc.conference Verified OK en_US
dc.for 090905 en_US
dc.personcode 108636 en_US
dc.personcode 0000058738 en_US
dc.personcode 0000069401 en_US
dc.percentage 100 en_US Photogrammetry and Remote Sensing en_US
dc.classification.type FOR-08 en_US
dc.edition 1 en_US
dc.custom en_US en_US
dc.location.activity en_US
dc.description.keywords MODIS, Vegetation indices, remote sensing en_US

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