Abstract
To study impact of climate change on vegetation time series vegetation index has a vital role to know the behaviour of vegetation dynamics over a time period. INSAT 3A CCD (Charged Couple Device) is the only geostationary sensor to acquire regular coverage of Asia continent at 1 km × 1 km spatial resolution with high temporal frequency (half-an-hour). A formulation 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. The atmospheric correction of at-sensor reflectances using SMAC (Simple Model for Atmospheric Correction) model improved the NDVI by 5–40% and also increased its dynamic range. The temporal dynamics of 16-day NDVI composite at 0500 GMT for a growing year (June 2008–March 2009) showed matching profiles with reference to global products (MODIS TERRA) over known land targets. The root mean square deviation (RMSD) between the two was 0.14 with correlation coefficient (r) 0.84 from 200 paired datasets. This inter-sensor cross-correlation would help in NDVI calibration to add continuity in long term NDVI database for climate change studies.
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Acknowledgments
The authors are extremely grateful to Satellite Meteorology Division, IMD, New Delhi for providing the time series INSAT 3A CCD data from IMDPS in the purview of IMD-ISRO project. The authors would like to thank Dr. R.R. Navalgund, Director, Space Applications Centre (SAC), ISRO for his support given for this study. The authors would also like to thank Shri. A.S. Kiran kumar, Associate Director, SAC and Dr. J.S. Parihar, Deputy Director EPSA, SAC for their timely help during this study. The authors are grateful to Dr Sushma Panigrahy, Group Director, Agriculture, Terrestrial Biosphere and Hydrology Group for her valuable suggestions while carrying out the analysis.
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Nigam, R., Bhattacharya, B.K., Gunjal, K.R. et al. Formulation of Time Series Vegetation Index from Indian Geostationary Satellite and Comparison with Global Product. J Indian Soc Remote Sens 40, 1–9 (2012). https://doi.org/10.1007/s12524-011-0122-2
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DOI: https://doi.org/10.1007/s12524-011-0122-2