Time series analysis of Sentinel 1 A SAR data to retrieve annual rice area maps and long-term dynamics of start of season.

ABSTRACT: Rice is a vital staple crop globally, and accurate estimation of rice area was crucial for effective agricultural management and food security. Synthetic Aperture Radar (SAR) data has emerged as a valuable remote sensing tool for rice area estimation due to its ability to penetrate cloud cover and capture backscattered signals from rice fields. The backscatter signature of rice showed a minimum dB value at agronomic flooding indicating the Start of Season (SoS). The parameters viz., the minimum values of -22.03 to -17.69 dB at the start of season, maximum value of -16.10 to -14.20 dB at the peak of season coinciding with heading and corresponding mean increase of 5.07 dB during growing stages were utilized for developing rule-based classification system. Rice area was estimated over the Ca

SUBMITTER: Sellaperumal P 

PROVIDER: S-EPMC11894211 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature