Results 111 to 120 of about 1,693,251 (168)

A containerized environment for landslide susceptibility mapping in Mila basin

, 2017
<p>A full containerized environment under Docker for landslide susceptibility mapping project in Mila basin</p ...
Merghadi Abdelaziz, Merghadi Abdelaziz (8199318)   +1 more
core   +1 more source

Study on landslide susceptibility mapping based on rock-soil characteristic factors. [PDF]

Sci Rep, 2021
Yu X, Zhang K, Song Y, Jiang W, Zhou J.
europepmc   +1 more source

Landslide susceptibility evaluation in the Beas River Basin of North-Western Himalaya: A geospatial analysis employing the Analytical Hierarchy Process (AHP) method

Quaternary Science Advances
In the North-Western Himalayas, particularly within the Beas Basin of Himachal Pradesh, landslide incidents are frequent, primarily due to the unique interplay of adverse geological conditions, heavy rainfall, and human factors. These incidents result in
Madhulika Singh, Varun Khajuria, Sachchidanand Singh, Kamal Singh   +3 more
doaj   +1 more source

Landslide Susceptibility Mapping with Integrated SBAS-InSAR Technique: A Case Study of Dongchuan District, Yunnan (China). [PDF]

Sensors (Basel), 2022
Zhu Z, Gan S, Yuan X, Zhang J.
europepmc   +1 more source

Landslide Susceptibility Mapping Using Machine Learning Algorithm Validated by Persistent Scatterer In-SAR Technique. [PDF]

Sensors (Basel), 2022
Hussain MA, Chen Z, Zheng Y, Shoaib M, Shah SU, Ali N, Afzal Z.   +6 more
europepmc   +1 more source

Uncertainty due to DEM error in landslide susceptibility mapping

, 2013
Terrain attributes such as slope gradient and slope shape, computed from a gridded digital elevation model (DEM), are important input data for landslide susceptibility mapping.
Zhu A. X., Wang R. X., Bao L. L., Hu X. M., Qin C. Z.   +4 more
core  

Optimizing Machine Learning Algorithms for Landslide Susceptibility Mapping along the Karakoram Highway, Gilgit Baltistan, Pakistan: A Comparative Study of Baseline, Bayesian, and Metaheuristic Hyperparameter Optimization Techniques. [PDF]

Sensors (Basel), 2023
Abbas F, Zhang F, Ismail M, Khan G, Iqbal J, Alrefaei AF, Albeshr MF.   +6 more
europepmc   +1 more source

A Robust Deep-Learning Model for Landslide Susceptibility Mapping: A Case Study of Kurdistan Province, Iran. [PDF]

Sensors (Basel), 2022
Ghasemian B, Shahabi H, Shirzadi A, Al-Ansari N, Jaafari A, Kress VR, Geertsema M, Renoud S, Ahmad A.   +8 more
europepmc   +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

Landslide inventory maps for the Canby quadrangle, Clackamas, Marion, and Washington Counties, Oregon

, 2009
plate 1. Landslide inventory map of the northwest quarter of the Canby quadrangle, Clackamas and Washington Counties, Oregon -- plate 2. Landslide inventory map of the northeast quarter of the Canby quadrangle, Clackamas County, Oregon -- plate 3 ...

core