Mapping Rice Planting Areas using Correlation Analysis of Soil Moisture, InSAR Closure Phase, and Backscatter in Crop-Growing Regions of Chongqing, China

Abstract:
As agricultural development and population growth continue to accelerate, it becomes increasingly important to accurately detect the distribution of crops in agricultural fields. To address this challenge, a novel rice detection method based on correlation analysis is proposed in this study. The approach leverages three datasets: soil moisture, InSAR closure phase, and VV co-polarized backscatter derived from Sentinel-1A SAR data. The experimental results prove the effectiveness of the method. This study provides valuable insights for crop identification using multi-temporal SAR data, paving the way for further advancements in precision agriculture.