MEASURING SURFACE SUBSIDENCE IN WUHAN, CHINA WITH SENTINEL-1 DATA USING PSINSAR

9 citations as recorded by crossref.

1. Land Subsidence in Wuhan Revealed Using a Non-Linear PSInSAR Approach with Long Time Series of COSMO-SkyMed SAR Data H. Jiang et al. 10.3390/rs13071256
2. RFI Artefacts Detection in Sentinel-1 Level-1 SLC Data Based On Image Processing Techniques A. Chojka et al. 10.3390/s20102919
3. Monitoring Land Subsidence in Wuhan City (China) using the SBAS-InSAR Method with Radarsat-2 Imagery Data Y. Zhang et al. 10.3390/s19030743
4. Analysis of the Spatial and Temporal Evolution of Land Subsidence in Wuhan, China from 2017 to 2021 Y. Zhao et al. 10.3390/rs14133142
5. Spatial and temporal subsidence characteristics in Wuhan (China), during 2015–2019, inferred from Sentinel-1 synthetic aperture radar (SAR) interferometry X. Shi et al. 10.5194/nhess-21-2285-2021
6. Impact of crop types on land subsidence: a case study of Nourabad aquifer, Iran M. Assadi et al. 10.1007/s10661-024-13453-w
7. Flood Inundation Analysis in Penang Island (Malaysia) Based on InSAR Maps of Land Subsidence and Local Sea Level Scenarios G. Gao et al. 10.3390/w13111518
8. Surface Motion Prediction and Mapping for Road Infrastructures Management by PS-InSAR Measurements and Machine Learning Algorithms N. Fiorentini et al. 10.3390/rs12233976
9. Exploiting satellite SAR for archaeological prospection and heritage site protection F. Cigna et al. 10.1080/10095020.2023.2223603