Results 1 to 10 of about 32,816 (291)
Scientific Reports, 2023 Shanghai 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,
Zhihua Zhang +5 more
semanticscholar +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 +8 more sources
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
Understanding the dynamic behaviour for the Madrid aquifer (Spain): insights from the integration of A-DInSAR and 3-D groundwater flow and geomechanical models [PDF]
Proceedings of the International Association of Hydrological Sciences, 2020 Advanced Differential Interferometric Synthetic Aperture Radar (A-DInSAR) techniques and 3-D groundwater flow and geomechanical models are integrated to improve our knowledge about the Tertiary detritic aquifer of Madrid (TDAM).
R. Bonì +12 more
doaj +1 more source
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
Wavelet analysis of land subsidence time-series: Madrid Tertiary aquifer case study [PDF]
Proceedings of the International Association of Hydrological Sciences, 2020 Interpretation of land subsidence time-series to understand the evolution of the phenomenon and the existing relationships between triggers and measured displacements is a great challenge.
R. Tomás +12 more
doaj +1 more source
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
Remote Sensing, 2021 Slope failures pose a substantial threat to mining activity due to their destructive potential and high probability of occurrence on steep slopes close to limit equilibrium conditions, which are often found both in open pits and in waste and tailing ...
Juan López-Vinielles +10 more
doaj +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
Subsidence activity maps derived from DInSAR data: Orihuela case study [PDF]
Natural Hazards and Earth System Sciences, 2014 A new methodology is proposed to produce subsidence activity maps based on the geostatistical analysis of persistent scatterer interferometry (PSI) data.
M. P. Sanabria +6 more
doaj +1 more source