Rice Field Detection and Mapping Using Multitemporal Sentinel-1 Synthetic Aperture Radar Data With RGB Composite and Thresholding Approach: a Case in Three Districts of Cianjur, Indonesia

 

Author: Muhammad Hayyu Mahabbah, Baba Barus, Bambang Hendro Trisasongko

Abstract: Sentinel-1 with temporally dense and open access data is a candidate platform suitable for rice monitoring. The objective of this study was to exploit Sentinel-1 C-band Synthetic Aperture Radar (SAR) multitemporal imagery to detect and to map rice cropping areas of Cianjur, Indonesia, through (1) learning the backscattering behavior on rice fields; and (2) generating rice area maps via several thresholding combinations. Layer manipulation (r.series aggregate operation) and RGB false-color composite images were constructed to better visualize the separability of rice areas among other types of land utilization. The result shows the averaged accuracy of about 82% with the highest accuracy of 85.6% using maximum and minimum backscatter coefficient thresholds on VH polarization. We concluded that a simple, straightforward approach could be beneficial for a specific task while minimizing the computational burden for further broad-scale implementation.

Keywords: Multitemporal SAR data, RGB composite, rice map, Sentinel-1, threshold

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