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- W2078363023 abstract "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." @default.
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- W2078363023 date "2015-04-24" @default.
- W2078363023 modified "2023-09-23" @default.
- W2078363023 title "Retrieval of biophysical parameters for cotton and rice crops using Resourcesat-2 AWiFS data in Nalgonda district, Andhra Pradesh, India" @default.
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- W2078363023 doi "https://doi.org/10.1080/14498596.2015.1030788" @default.
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