Mapping Flooded Rice Paddies Using Time Series of MODIS Imagery in the Krishna River Basin, India
作者： Pardhasaradhi Teluguntla , Dongryeol Ryu , Biju George , Jeffrey Walker , Hector Malano
DOI: 10.3390/RS70708858
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摘要: Abstract: Rice is one of the major crops cultivated predominantly in flooded paddies, thus a large amount water consumed during its growing season. Accurate paddy rice maps are therefore important inputs for improved estimates actual evapotranspiration agricultural landscape. The main objective this study was to obtain using multi-temporal images Moderate Resolution Imaging Spectroradiometer (MODIS) Krishna River Basin, India. First, ground-based spectral samples collected by field spectroradiometer, CROPSCAN, were used demonstrate unique contrasts between Normalized Difference Vegetation Index (NDVI) and Land Surface Water (LSWI) observed transplanting season rice. contrast Enhanced (EVI) from MODIS time series data then generate classification decision rules map seasons Kharif
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