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Retrieval of biophysical parameters for cotton and rice crops using Resourcesat-2 AWiFS data in Nalgonda district, Andhra Pradesh, India
In the present study, a regression-based approach was adopted for retrieval of leaf-area index (LAI) and chlorophyll-content index (CCI) using Resourcesat-2 AWiFS data. Multi-temporal satellite data were utilised to generate cotton and rice crop masks. Three vegetation indices (VIs) were computed from AWiFS data, which were further regressed with ground-measured LAI and CCI values to generate empirical models along with their regression parameters. The best-fit models were adopted for inversion to generate crop-specific spatial maps of biophysical parameters for both cotton and rice crops. The geo-spatial products of crop biophysical parameters were further validated using in-situ observations.
Retrieval of biophysical parameters for cotton and rice crops using Resourcesat-2 AWiFS data in Nalgonda district, Andhra Pradesh, India
In the present study, a regression-based approach was adopted for retrieval of leaf-area index (LAI) and chlorophyll-content index (CCI) using Resourcesat-2 AWiFS data. Multi-temporal satellite data were utilised to generate cotton and rice crop masks. Three vegetation indices (VIs) were computed from AWiFS data, which were further regressed with ground-measured LAI and CCI values to generate empirical models along with their regression parameters. The best-fit models were adopted for inversion to generate crop-specific spatial maps of biophysical parameters for both cotton and rice crops. The geo-spatial products of crop biophysical parameters were further validated using in-situ observations.
Retrieval of biophysical parameters for cotton and rice crops using Resourcesat-2 AWiFS data in Nalgonda district, Andhra Pradesh, India
Das, Prabir Kumar (author) / Rao, S.V.C. Kameswara / Kumar, G. Sravan / Seshasai, M.V.R
2015
Article (Journal)
English
AWiFS , LAI , chlorophyll , Resourcesat-2
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