Assessment of crop condition is essential for crop monitoring and to predict productivity of the crops. The Remote Sensing data can provide near real time information about the seasonal crop status. A normalised difference vegetation index (NDVI) evaluates crop stages by inter-seasonal comparison with spatial and temporal variability. The present study is aimed to assess the crop condition of groundnut in Anantapur district for 2016. Phenological stage retrieval of crop growth is characterised

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... y NDVI. It shows the growth stages for early to high growth period and harvesting period. NDVI images are generated using moderate resolution imaging spectroradiometer (MODIS) reflectance time series data and identified crop area. Composite seasonal NDVI images were classified into clusters using unsupervised classification (ISODATA) and crop temporal spectral response profiles were prepared from the NDVI images from June to November for 2010, 2012 and 2016. The specific NDVI changing patterns were observed with different crops, this indicates the feasibility of crop delineation with time series NDVI. The extent of groundnut cropped area was extracted in the study area using time series NDVI. The deviation of the NDVI is used to understand the crop growth in different stages and Season's Max NDVI is used to assess the crop condition in the study area. The study revealed that crop productivity is showing a significant change from 2010 to 2016. In 2010, there were 6 mandals having poor or low condition, where as in 2016, 20 mandals were affected. By adopting this approach crop condition maps were generated.