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CLASSIFICATION OF CROPLANDS THROUGH FUSION OF OPTICAL AND SAR TIME SERIES DATA
Multi-temporal Data fusion Landsat 5 Radarsat-1 Machine learning Crop classification Paddy rice index
2016/11/24
Many satellite sensors including Landsat series have been extensively used for land cover classification. Studies have been conducted to mitigate classification problems associated with the use of sin...
Incorporation of crop phenology in Simple Biosphere Model (SiBcrop) to improve land-atmosphere carbon exchanges from croplands
crop phenology Simple Biosphere Model land-atmosphere carbon exchanges croplands
2010/1/20
Croplands are man-made ecosystems that have high net primary productivity during the growing season of crops, thus impacting carbon and other exchanges with the atmosphere. These exchanges play a majo...
Global Croplands and Their Water Use—Advanced Remote Sensing Methods and Approaches
:Croplands Water use Remote Sensing Global Food Security.
2016/4/7
The paper provides a comprehensive review of global croplands and their water use. Global cropland (irrigated plus rainfed) areas increased from 265 Mha in year 1700 to about 1.5 Mha in year 2000. Maj...