Results 11 to 20 of about 59,582 (306)
Scientific Reports, 2023 AbstractShanghai is susceptible to land subsidence due to its unique geological environment and frequent human activities. Traditional leveling techniques are not sufficient for monitoring large areas of land subsidence due to the time-consuming, labor-intensive, and expensive nature of the process.
Zhihua Zhang +5 more
openaire +4 more sources
InSAR processing for the recognition of landslides [PDF]
Advances in Geosciences, 2008 Abstract. Synthetic Aperture Radar Interferometry (InSAR) is an established method for the detection and monitoring of earth surface processes. This approach has been most successful where the observed area fulfills specific requirements, such as sufficient backscattering, flat slope gradients or very slow changes of vegetation.
Björn Riedel, Axel Walther
openalex +7 more sources
An identification method of potential landslide zones using InSAR data and landslide susceptibility
Geomatics, Natural Hazards & Risk, 2023 Landslides are destructive to property, infrastructure and people in potential landslide zones. Identifying potential landslides is an important step in landslide preparedness and will help develop sustainable landslide risk management.
Yi He +7 more
semanticscholar +1 more source
InSAR-YOLOv8 for wide-area landslide detection in InSAR measurements. [PDF]
Sci RepInSAR monitoring technology is widely used in investigating landslide hazards. Leveraging object detection algorithms to quickly extract landslide information from Wide-Area InSAR measurements is of great significance. Our InSAR-YOLOv8, an algorithm that automatically detects landslides from InSAR measurements, addresses the low accuracy and suboptimal
Ma R, Yu H, Liu X, Yuan X, Geng T, Li P.
europepmc +3 more sources
Scientific Reports, 2023 Geological settings of the Karakoram Highway (KKH) increase the risk of natural disasters, threatening its regular operations. Predicting landslides along the KKH is challenging due to limitations in techniques, a challenging environment, and data ...
Isma Kulsoom +5 more
semanticscholar +1 more source
International Journal of Digital Earth, 2023 We develop an integrated neural network landslide susceptibility assessment (LSA) method that integrates temporal dynamic features of interferometry synthetic aperture radar (InSAR) deformation data and the spatial features of landslide influencing ...
Yi He +7 more
semanticscholar +1 more source
Interpretation of Bridge Health Monitoring Data from Satellite InSAR Technology
Remote Sensing, 2023 This paper presents a study on applying satellite Interferometric Synthetic Aperture Radar (InSAR) technology for the remote monitoring of road bridges and interpreting the results from a structural standpoint.
D. Tonelli +7 more
semanticscholar +1 more source
InSAR Signal and Data Processing [PDF]
Sensors, 2020 We present here the recent advances in exploring new techniques related to interferometric synthetic aperture radar (InSAR) signal and data processing and applications.
Mengdao Xing, Zhong Lu, Hanwen Yu
openaire +4 more sources
Landslide Dynamic Susceptibility Mapping Base on Machine Learning and the PS-InSAR Coupling Model
Remote Sensing, 2023 Complex and fragile geological conditions combined with periodic fluctuations in reservoir water levels have led to frequent landslide disasters in the Three Gorges Reservoir area.
Fa-sheng Miao +5 more
semanticscholar +1 more source
GIScience & Remote Sensing, 2022 Landslides are major geological hazards and frequently occur in mountainous areas with steep slopes, often causing significant loss. Interferometric Synthetic Aperture Radar (InSAR) has been widely used in landslide measurement over the last three ...
K. Dai +8 more
semanticscholar +1 more source