Results 1 to 10 of about 15,888 (248)

InSAR processing for the recognition of landslides [PDF]

open access: goldAdvances 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]

open access: yesSci Rep
InSAR 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]

open access: yesProceedings 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

Wavelet analysis of land subsidence time-series: Madrid Tertiary aquifer case study [PDF]

open access: yesProceedings 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

Combining Satellite InSAR, Slope Units and Finite Element Modeling for Stability Analysis in Mining Waste Disposal Areas

open access: yesRemote 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

Subsidence activity maps derived from DInSAR data: Orihuela case study [PDF]

open access: yesNatural 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

InSAR Signal and Data Processing [PDF]

open access: yesSensors, 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

Application of the Interferometry Synthetic Aperture Radar (InSAR) in monitoring and evaluating landslides (case study: Ahar-Varzeghan region) [PDF]

open access: yesنشریه جغرافیا و برنامه‌ریزی, 2021
Introduction Risk management and landslide assessment begin with a comprehensive identification and monitoring of their movements and mapping them, which can be used as a basis for achieving knowledge about their spatial and temporal distribution.
Leila Khodaei Geshlag   +3 more
doaj   +1 more source

LPbyCD: a new scalable and interpretable approach for Link Prediction via Community Detection in bipartite networks

open access: yesApplied Network Science, 2021
Many aspects from real life with bi-relational structure can be modeled as bipartite networks. This modeling allows the use of some standard solutions for prediction and/or recommendation of new relations between objects in such networks.
Maksim Koptelov   +3 more
doaj   +1 more source

Active landslide identification with a combined method of D-InSAR and random forest model

open access: yesZhongguo dizhi zaihai yu fangzhi xuebao, 2022
Early identification of disaster is a key technical problem in disaster prevention and mitigation. In this study, Zhouqu County, Gansu Province was taken as an example.
Xingyue GAO, Shijie WANG, Pengcheng GAO
doaj   +1 more source

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