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标题：A Continental Scale Vegetation Index from Indian Geostationary Satellite
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作者：Rahul Nigam ; Bimal K. Bhattacharya ; Keshav R. Gunjal 等
期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2009
卷号：XXXVIII-8/W3
页码：313
出版社：Copernicus Publications
摘要：Time series vegetation index is a valuable source to derive several plant biophysical parameters, landuse land cover change dynamics and to study climatic behavior. Geostationary satellite sensor is capable of observing earth surface with continental coverage in a single snapshot at constant viewing direction with high temporal frequency (half-an-hour). INSAT 3A CCD is the only geostationary sensor to acquire regular coverage of Asia continent at 1 kmX1km spatial resolution. A retrieval algorithm of surface reflectances in red, near infrared (NIR), short wave infrared (SWIR) and NDVI from INSAT 3A CCD has been defined and integrated in the operational chain. This includes (i) vicarious calibration with IRS P6 AWiFS bands (ii) cloud screening based on band thresholds and atmospheric correction of at-sensor reflectances using SMAC (Simple Model for Atmospheric correction) models. The atmospheric correction improved the NDVI by 5-40% and also increased its range. The temporal dynamics of 16-day NDVI composite at 0500 GMT for a growing year (June 2008-April 2009) showed matching profiles with reference to global products (MODIS TERRA) over known land targets such as agriculture, forest and desert. The root mean square deviation (RMSD) between the two was 0.13 with correlation coefficient (r) 0.8 from 270 paired datasets. This cross-correlation would help in NDVI calibration to add continuity in long term NDVI database for climate change studies
关键词：NDVI; Geostationary; CCD; INSAT; Asia