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Academic Journal

InSAR-based landslide hazard mapping and identification of at-risk infrastructures in a selected district of North Shewa Zone, Ethiopia.

  • Authors : Melkamu T; Department of Geology, College of Natural and Computational Sciences, Debre Berhan University, P.O.Box 445, Debre Berhan, Ethiopia. .; Bagyaraj M

Subjects: Landslides* ; Geographic Information Systems*; Ethiopia

  • Source: Environmental science and pollution research international [Environ Sci Pollut Res Int] 2024 May; Vol. 31 (22), pp. 32553-32570. Date of Electronic Publication: 2024 Apr 24.Publisher: Springer Country of Publication: Germany NLM ID: 9441769 Publication Model: Print-Electronic Cited Medium:

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Academic Journal

Landslide susceptibility assessment based on frequency ratio and semi-supervised heterogeneous ensemble learning model.

  • Authors : Zhao Y; College of Construction Engineering, Jilin University, 938, Ximinzhu Road, Changchun, China.; Qin S

Subjects: Landslides*; China ; Neural Networks, Computer

  • Source: Environmental science and pollution research international [Environ Sci Pollut Res Int] 2024 May; Vol. 31 (22), pp. 32043-32059. Date of Electronic Publication: 2024 Apr 20.Publisher: Springer Country of Publication: Germany NLM ID: 9441769 Publication Model: Print-Electronic Cited Medium:

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Academic Journal

Game-theoretic optimization of landslide susceptibility mapping: a comparative study between Bayesian-optimized basic neural network and new generation neural network models.

  • Authors : Mallick J; Department of Civil Engineering, College of Engineering, King Khalid University, P.O. Box: 394, Abha, 61411, Kingdom of Saudi Arabia. .; Alkahtani M

Subjects: Landslides* ; Neural Networks, Computer* ; Bayes Theorem*

  • Source: Environmental science and pollution research international [Environ Sci Pollut Res Int] 2024 Apr; Vol. 31 (20), pp. 29811-29835. Date of Electronic Publication: 2024 Apr 09.Publisher: Springer Country of Publication: Germany NLM ID: 9441769 Publication Model: Print-Electronic Cited Medium:

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Academic Journal

Investigating the dynamic nature of landslide susceptibility in the Indian Himalayan region.

  • Authors : Sharma A; Dept. of Civil Engineering, Punjab Engineering College, Sector 12, Chandigarh, 160012, India. .; Sandhu HAS

Subjects: Landslides*; Environmental Monitoring ; Safety Management

  • Source: Environmental monitoring and assessment [Environ Monit Assess] 2024 Feb 13; Vol. 196 (3), pp. 257. Date of Electronic Publication: 2024 Feb 13.Publisher: Springer Country of Publication: Netherlands NLM ID: 8508350 Publication Model: Electronic Cited Medium:

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Academic Journal

Exploring machine learning and statistical approach techniques for landslide susceptibility mapping in Siwalik Himalayan Region using geospatial technology.

  • Authors : Saha A; Department of Mining Engineering, Indian Institute of Technology (Indian School of Mines), Dhanbad, 826004, India.; Tripathi L

Subjects: Landslides*; Humans ; Geographic Information Systems

  • Source: Environmental science and pollution research international [Environ Sci Pollut Res Int] 2024 Feb; Vol. 31 (7), pp. 10443-10459. Date of Electronic Publication: 2024 Jan 10.Publisher: Springer Country of Publication: Germany NLM ID: 9441769 Publication Model: Print-Electronic Cited Medium:

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Academic Journal

Development of landslide susceptibility maps of Tripura, India using GIS and analytical hierarchy process (AHP).

  • Authors : Nath NK; Department of Soil & Water Engineering, CTAE, MPUAT, Udaipur, Rajasthan, 313001, India.; Gautam VK

Subjects: Geographic Information Systems* ; Landslides*; Analytic Hierarchy Process

  • Source: Environmental science and pollution research international [Environ Sci Pollut Res Int] 2024 Jan; Vol. 31 (5), pp. 7481-7497. Date of Electronic Publication: 2023 Dec 30.Publisher: Springer Country of Publication: Germany NLM ID: 9441769 Publication Model: Print-Electronic Cited Medium:

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Academic Journal

Detection and analysis of potential landslides based on SBAS-InSAR technology in alpine canyon region.

  • Authors : Li Y; School of Earth Sciences, Yunnan University, Kunming, 650091, China.; Feng X

Subjects: Landslides* ; Disasters*; Humans

  • Source: Environmental science and pollution research international [Environ Sci Pollut Res Int] 2024 Jan; Vol. 31 (4), pp. 6492-6510. Date of Electronic Publication: 2023 Dec 27.Publisher: Springer Country of Publication: Germany NLM ID: 9441769 Publication Model: Print-Electronic Cited Medium:

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Academic Journal

Dynamic landslide susceptibility mapping based on the PS-InSAR deformation intensity.

  • Authors : Jin B; Faculty of Engineering, China University of Geosciences, Wuhan, China.; Zeng T

Subjects: Landslides*/Landslides*/Landslides*/prevention & control ; Disasters*; Humans

  • Source: Environmental science and pollution research international [Environ Sci Pollut Res Int] 2024 Jan; Vol. 31 (5), pp. 7872-7888. Date of Electronic Publication: 2024 Jan 03.Publisher: Springer Country of Publication: Germany NLM ID: 9441769 Publication Model: Print-Electronic Cited Medium:

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Academic Journal

Evaluating the influence of road construction on landslide susceptibility in Saudi Arabia's mountainous terrain: a Bayesian-optimised deep learning approach with attention mechanism and sensitivity analysis.

  • Authors : Alqadhi S; Department of Civil Engineering, College of Engineering, King Khalid University, P.O. Box: 394, Abha, 61411, Kingdom of Saudi Arabia.; Mallick J

Subjects: Landslides* ; Deep Learning*; Humans

  • Source: Environmental science and pollution research international [Environ Sci Pollut Res Int] 2024 Jan; Vol. 31 (2), pp. 3169-3194. Date of Electronic Publication: 2023 Dec 12.Publisher: Springer Country of Publication: Germany NLM ID: 9441769 Publication Model: Print-Electronic Cited Medium:

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Academic Journal

GIS-based landslide susceptibility zoning using a coupled model: a case study in Badong County, China.

  • Authors : Wang P; School of Resources & Safety Engineering, Central South University, Changsha, 410083, Hunan, People's Republic of China.; Deng H

Subjects: Landslides*/Landslides*/Landslides*/prevention & control; Geographic Information Systems ; China

  • Source: Environmental science and pollution research international [Environ Sci Pollut Res Int] 2024 Jan; Vol. 31 (4), pp. 6213-6231. Date of Electronic Publication: 2023 Dec 26.Publisher: Springer Country of Publication: Germany NLM ID: 9441769 Publication Model: Print-Electronic Cited Medium:

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