Department of Geography, Allahabad University, Allahabad, India
Research Article
Application of Temporal Sentinel 1 SAR Data for Multiple Crop Type Classification in a Command Area
Author(s): Sobhan Mishra*, Annie Maria Issac, Syama S Rao, Ronald Singh, P V Raju and V V Rao
Assessment of cropped area during kharif season is a difficult task due to the presence of cloud, cloud shadows
and haze. So microwave datasets provide a good alternative as they have cloud penetration capacity. But deriving
crop related information from microwave datasets is difficult task as it is subjected to different factors like phonological
stage of the crop during satellite image acquisition, presence of speckle, polarization and the classifier used. In this
study suitable filter polarization and classifier is identified by systematic analysis of time series, back scatter values
derived from Sentinel 1 Synthetic Aperture Radar (SAR) data. As per the study, for the selected study area and
time period, Sentinel 1-SAR images subjected to speckle removal by Intensity Driven Adaptive Filter (IDAN)
filter proved to perform well in classification as against other.. View more»