Results 131 to 140 of about 32,207 (198)

Land Subsidence Susceptibility Mapping in Semi‐Arid Regions Using PS‐InSAR and Tree‐Based Ensemble Machine Learning: A Case Study From Çumra, Türkiye

Transactions in GIS, Volume 30, Issue 4, June 2026.
ABSTRACT Land subsidence is an increasing environmental hazard in semi‐arid agricultural basins where intensive groundwater abstraction, compressible geological units, and expanding land‐use pressures interact. This study presents a PS‐InSAR and machine‐learning‐based framework for land subsidence susceptibility mapping in the Çumra District of the ...
Burhan Baha Bilgilioğlu
wiley   +1 more source

Suggestion for a new deterministic model coupled with machine learning techniques for landslide susceptibility mapping. [PDF]

Sci Rep, 2021
Min DH, Yoon HK.
europepmc   +1 more source

AHP multi criteria analysis for landslide susceptibility mapping in the Tellian Atlas chain. [PDF]

Sci Rep
Zighmi K, Zahri F, Faqeih K, Al Amri A, Riheb H, Alamri SM, Alamery E.   +6 more
europepmc   +1 more source

Optimizing landslide susceptibility mapping using machine learning and geospatial techniques

Ecological Informatics
Gazali Agboola, L. Beni, Tamer Elbayoumi, Gary Thompson   +3 more
semanticscholar   +1 more source

Optimizing machine learning and bagging-based hybrid models for landslide susceptibility mapping: a case study in Chenggu County, China. [PDF]

Sci Rep
Lei X, Liu J, Du Y, Liu L, Yuan Y, Zhao X, Guo Z, Wu X.   +7 more
europepmc   +1 more source

Enhancing landslide susceptibility mapping incorporating landslide typology via stacking ensemble machine learning in Three Gorges Reservoir, China

Geoscience Frontiers
Lanbing Yu, Yang Wang, Biswajeet Pradhan
semanticscholar   +1 more source

Convolutional neural network-based deep learning for landslide susceptibility mapping in the Bakhtegan watershed. [PDF]

Sci Rep
Feng L, Zhang M, Mao Y, Liu H, Yang C, Dong Y, Nanehkaran YA.   +6 more
europepmc   +1 more source

Landslide Susceptibility Mapping Using Machine Learning Algorithms and Remote Sensing Data in a Tropical Environment. [PDF]

Int J Environ Res Public Health, 2020
Nhu VH, Mohammadi A, Shahabi H, Ahmad BB, Al-Ansari N, Shirzadi A, Shirzadi A, Clague JJ, Jaafari A, Chen W, Nguyen H.   +10 more
europepmc   +1 more source

A new framework for landslide susceptibility mapping in contiguous impoverished areas using machine learning and catastrophe theory. [PDF]

Sci Rep
Zhou W, Zhou Y, Liang S, Zhang C, Dai H, Sun X.   +5 more
europepmc   +1 more source

Landslide susceptibility mapping using an entropy index-based negative sample selection strategy: A case study of Luolong county. [PDF]

PLoS One
Yuzhong K, Hua W, Chong X, Jingjing S, Kangcheng Z, Chenguang Z, Jianwei Z, Tong X, Taijin S, Zelin Z, Hui K.   +10 more
europepmc   +1 more source