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Assessing InSAR Coherence for Quantification of Agriculture Area Affected by Rainfall Events in Gujrat, India

In the present study, InSAR coherence products extracted from Sentinel-1 were used for the quantification of the agricultural region affected by normal to large excess rainfall events that occurred in the districts of Gujrat, India in July and August 2020. In this analysis, the coherence values retrieved during co-event (i.e. during rainfall) were comparatively found lower than the pre-event (i.e. before rainfall) for all the sub-divisions of the districts. Here, the pre-event and co-event coherence histograms were drawn and their point of intersection was used to determine an optimal threshold value for coherence below which agriculture area was considered as affected due to rainfall. More than 80 % of the total study area was found affected due to rainfall events. The obtained outcomes were crossexamined with the Landsat-8 images obtained for the study duration and the results were found encouraging.