Evaluating and Analyzing the Potential of the Gaofen-3 SAR Satellite for Landslide Monitoring

被引:8
|
作者
Wen, Ningling [1 ]
Zeng, Fanru [2 ]
Dai, Keren [1 ,3 ,4 ]
Li, Tao [5 ]
Zhang, Xi [1 ]
Pirasteh, Saied [6 ,7 ]
Liu, Chen [1 ]
Xu, Qiang [3 ]
机构
[1] Chengdu Univ Technol, Coll Earth Sci, Chengdu 610059, Peoples R China
[2] Sichuan Water Conservancy Coll, Chengdu 611231, Peoples R China
[3] Chengdu Univ Technol, State Key Lab Geol Disaster Prevent & Geol Enviro, Chengdu 610059, Peoples R China
[4] Changan Univ, Coll Geol Engn & Geomat, Xian 710064, Peoples R China
[5] MNR, Land Satellite Remote Sensing Applicat Ctr, Beijing 100048, Peoples R China
[6] Southwest Jiaotong Univ, Fac Geosci & Environm Engn, GeoAI Smarter Map & LiDAR Lab, Chengdu 610097, Peoples R China
[7] Saveetha Inst Med & Tech Sci, Saveetha Sch Engn, Dept Geotechn & Geomat, Chennai 602105, India
基金
国家重点研发计划; 中国国家自然科学基金; 中国博士后科学基金;
关键词
Gaofen-3; landslides; interference effect; displacement sensitivity; observation applicability analysis; DISPLACEMENTS;
D O I
10.3390/rs14174425
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Gaofen-3 is the first Chinese spaceborne C-band SAR satellite with multiple polarizations. The Gaofen-3 satellite's data has few applications for monitoring landslides at present, and its potential for use requires further investigation. Consequently, we must evaluate and analyze the landslide interference quality and displacement monitoring derived from the Gaofen-3 SAR satellite's data, particularly in high and steep, mountainous regions. Based on the nine Gaofen-3 SAR datasets gathered in 2020-2021, this study used DInSAR technology to track landslide displacement in Mao County, Sichuan Province, utilizing data from Gaofen-3. Our findings were compared to SENTINEL-1 and ALOS-2 data for the same region. This study revealed that due to its large spatial baseline, Gaofen-3's SAR data have a smaller interference effect and weaker coherence than the SENTINEL-1 and ALOS-2 SAR data. In addition, the displacement sensitivity of the Gaofen-3 and SENTINEL-1 data (C-band) is higher than that of the ALOS-2 data (L-band). Further, we conducted a study of observation applicability based on the geometric distortion distribution of the three forms of SAR data. Gaofen-3's SAR data are very simple to make layover and have fewer shadow areas in hilly regions, and it theoretically has more suitable observation areas (71.3%). For its practical application in mountainous areas, we introduced the passive geometric distortion analysis method. Due to its short incidence angle (i.e., 25.8 degrees), which is less than the other two satellites' SAR data, only 39.6% of the Gaofen-3 SAR data in the study area is acceptable for suitable observation areas. This study evaluated and analyzed the ability of using Gaofen-3's data to monitor landslides in mountainous regions based on the interference effect and observation applicability analysis, thereby providing a significant reference for the future use and design of Gaofen-3's data for landslide monitoring.
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页数:17
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