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

摘要

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.