A Two-Step Method for Monitoring Annual Paddy Rice Planted Area in Tropical Region by Integrating Rice Identification and Cropping Intensity Estimation

Title Of The Magazine IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
Year Information 2025
KeyWord Cropping intensity, harmonic analysis of time series (HANTS), paddy rice distribution, paddy rice planted area, quadratic difference, Sentinel-1
Authors Junbin Li, Hongwei Zeng, Member, IEEE, Miao Zhang, Bingfang Wu, Yuanwei Qin, Yan Xie, Sven Gilliams, Yuting Luo
Intro Accurate assessment of paddy rice planted area is challenging in tropical regions where the availability of optical satellite data and samples is limited due to the high prevalence of cloudy and rainy periods. This study, carried out in Vietnam, presents a novel two-step method to estimate annual paddy rice planted area at the 10-m spatial resolution overcoming the limitations of scarce optical remote sensing data and groundtruth samples. First, an easy and effective visualization method was designed to collect rice and nonrice samples based on the significant color difference of consecutive three monthly VH composite data between paddy rice fields and other land covers during the flooding to transplanting stage. Second, rice spatial distribution information was extracted by taking full advantage of coarse optical imagery in a spatialtemporal continuum and Sentinel-1/2 images combined with rice potential zone (RPZ) generation by threshold and rice fine classification by random forest. Third, the cropping intensity of paddy rice fields was identified from monthly VH bands smoothed by harmonic analysis of time series (HANTS) using the quadratic difference method. The utilization of RPZ improved R2 of the paddy rice
Links To Magazines https://doi.org/10.1109/TGRS.2025.3549296