Soil moisture retrieval in mining-disturbed areas with temporal high resolution SAR

International Conference on Energy Engineering and Environmental Protection 2017

能源学;生态环境科学

Ma, Wei^1 ; Liu, Weiwei^1 ; Ma, Chao^1,2

School of Surveying and Mapping Land Information Engineering, Henan Polytechnic University, Jiaozuo

454000, China^1

Key Laboratory of Mine Spatial Information Technologies of State Bureau of Surveying and Mapping, Henan Polytechnic University, Jiaozuo

454000, China^2

关键词: Approximation model;    Good correlations;    High-resolution SAR;    Maximum correlation coefficient;    Mining subsidence areas;    Soil moisture retrievals;    Surface soil moisture;    Underground mining activities;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/121/5/052006/pdf
DOI  :  10.1088/1755-1315/121/5/052006

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

Using 12 periods RADARSAT-2 HH polarization data and combining with the Alpha approximation model, the soil moisture of the study area was retrieved and then compared with the MODIS retrieval results. Then, the DInSAR results of RADARSAT-2 were used to investigate the effect of high intensity underground mining activities on surface soil moisture. The study found that the soil moisture values of RADARSAT-2 had a good correlation with MODIS retrieval results. In the four comparison groups, the maximum correlation coefficient was 0.599 (p