华中师范大学学报（自然科学版）2026，Vol.60Issue(2)：246-254,9.DOI:10.19603/j.cnki.1000-1190.2026.02.008
多云多雨区耕地非农化识别的SAR协同监测应用研究
A study on the application of SAR collaborative monitoring for cropland non-agriculturalization identification in cloudy and rainy regions
摘要
Abstract
Monitoring cropland non-agriculturalization is a critical technical approach for ensuring the supply of food and safeguarding food security.Addressing the challenges of acquiring complete optical imagery in regions characterized by frequent cloud cover and rainfall,as well as the limitations of traditional single-source Synthetic Aperture Radar(SAR)imagery-based methods for identifying cropland non-agriculturalization,which suffer from low accuracy,we propose a novel method that integrates multi-source,multi-scale temporal SAR features for the identification of cropland non-agriculturalization patches in arable land.This methodology commences with the extraction of arable land change patches using the temporal coherence map derived from Sentinel-1 SAR imagery.Subsequently,it employs a variety of statistical features from high-resolution COSMO-SkyMed SAR imagery,in conjunction with the XGBoost model,to accurately classify suspected change patches.The efficacy of this method was validated through engineering verification experiments and quantitative qualitative analyses conducted across four distinct districts and counties in Guangdong Province.The identification accuracy in these four experimental areas reached a maximum of 87.95％,with an average precision of 79.04％.These results demonstrate that the proposed research method is effective in identifying cropland non-agriculturalization patches in regions with frequent cloud cover and rainfall,thus facilitating timely monitoring and mitigation of the non-agriculturalization phenomenon in arable land.关键词
耕地"非农化"识别/合成孔径雷达监测/时序特征/Sentinel-1/COSMO-SkyMedKey words
cropland non-agriculturalization/Synthetic Aperture Radar(SAR)monitoring/temporal features/Sentinel-1/COSMO-SkyMed分类
信息技术与安全科学引用本文复制引用
宋兆璞,许伟杰,郑华健,石晓春,侯东阳,刘洪顺,邓实权..多云多雨区耕地非农化识别的SAR协同监测应用研究[J].华中师范大学学报（自然科学版）,2026,60(2):246-254,9.基金项目
国家自然科学基金项目(42201514) （42201514）
广东省科技计划项目(2021B1111610001,2021B1212100003) （2021B1111610001,2021B1212100003）
广东省自然资源科技项目(GDZRZYKJ2024002) （GDZRZYKJ2024002）
自然资源部部省合作项目(2024ZRBSHZ035) （2024ZRBSHZ035）
自然资源部华南热带亚热带自然资源监测重点实验室开放基金项目(2024NRMZ01). （2024NRMZ01）
