Multi-Temporal Loess Landslide Inventory Mapping with C-, X- and L-Band SAR Datasets—A Case Study of Heifangtai Loess Landslides, China

• Published in: Remote sensing (Basel, Switzerland) Vol. 10; no. 11; p. 1756
• Main Authors: Liu, Xiaojie, Zhao, Chaoying, Zhang, Qin, Peng, Jianbing, Zhu, Wu, Lu, Zhong
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.11.2018
• Subjects: C band; Datasets; Deformation; Engineering; Evolution; Geological surveys; Geology; Heifangtai; Image detection; Incidence angle; InSAR; Interferometric synthetic aperture radar; Interferometry; Irrigation; Laboratories; Landslides; Landslides & mudslides; Loess; loess landslide; Mapping; Mathematical analysis; multi-temporal inventory mapping; Radar; Remote sensing; Sensors; Superhigh frequencies; Terraces; Unmanned aerial vehicles; Italy; China

The Interferometric Synthetic Aperture Radar (InSAR) technique is a well-developed remote sensing tool which has been widely used in the investigation of landslides. Average deformation rates are calculated by weighted averaging (stacking) of the interferograms to detect small-scale loess landslides...