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Evaluation of Different Machine Learning Methods and Deep-Learning Convolutional Neural Networks for Landslide Detection

Remote sensing (Basel, Switzerland), 2019-01, Vol.11 (2), p.196

2019

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A Comparative Study of Statistics-Based Landslide Susceptibility Models: A Case Study of the Region Affected by the Gorkha Earthquake in Nepal

ISPRS international journal of geo-information, , Vol.8 (2), p.94

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Landslide Detection Using Multi-Scale Image Segmentation and Different Machine Learning Models in the Higher Himalayas

Remote sensing (Basel, Switzerland), 2019-11, Vol.11 (21), p.2575

2019

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Landslide detection in the Himalayas using machine learning algorithms and U-Net

Landslides, 2022-05, Vol.19 (5), p.1209-1229

2022

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Chamoli disaster: pronounced changes in water quality and flood plains using Sentinel data

Environmental earth sciences, 2021-09, Vol.80 (17), p.601-601, Article 601

2021

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Rapid mapping of landslides in the Western Ghats (India) triggered by 2018 extreme monsoon rainfall using a deep learning approach

Landslides, 2021-05, Vol.18 (5), p.1937-1950

2021

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A Hybrid Spatial Multi-Criteria Evaluation Method for Mapping Landslide Susceptible Areas in Kullu Valley, Himalayas

Geosciences (Basel), 2019-04, Vol.9 (4), p.156

2019

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UAV-Based Slope Failure Detection Using Deep-Learning Convolutional Neural Networks

Remote sensing (Basel, Switzerland), 2019-09, Vol.11 (17), p.2046

2019

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Sanitary landfill site selection by integrating AHP and FTOPSIS with GIS: a case study of Memari Municipality, India

Environmental science and pollution research international, 2021-02, Vol.28 (6), p.7528-7550

2021

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Landslide susceptibility prediction using slope unit-based machine learning models considering the heterogeneity of conditioning factors

Journal of Rock Mechanics and Geotechnical Engineering, 2023-05, Vol.15 (5), p.1127-1143

2023

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Rapid Mapping of Landslides on SAR Data by Attention U-Net

Remote sensing (Basel, Switzerland), 2022-03, Vol.14 (6), p.1449

2022

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Generating multi-temporal landslide inventories through a general deep transfer learning strategy using HR EO data

Scientific reports, 2023-01, Vol.13 (1), p.162-162, Article 162

2023

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Landslide susceptibility assessment in a lesser Himalayan road corridor (India) applying fuzzy AHP technique and earth-observation data

Geomatics, natural hazards and risk, 2020-01, Vol.11 (1), p.2176-2209

2020

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Nepalese landslide information system (NELIS): a conceptual framework for a web-based geographical information system for enhanced landslide risk management in Nepal

Natural hazards and earth system sciences, 2021-01, Vol.21 (1), p.301-316

2021

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Landslide Mapping Using Two Main Deep-Learning Convolution Neural Network Streams Combined by the Dempster-Shafer Model

IEEE journal of selected topics in applied earth observations and remote sensing, 2021, Vol.14, p.452-463

2021

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Comparison of Earthquake-Triggered Landslide Inventories: A Case Study of the 2015 Gorkha Earthquake, Nepal

Geosciences (Basel), 2019-10, Vol.9 (10), p.437

2019

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Mapping landslides through a temporal lens: an insight toward multi-temporal landslide mapping using the u-net deep learning model

GIScience and remote sensing, 2023-12, Vol.60 (1)

2023

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Predicting Landslides Susceptible Zones in the Lesser Himalayas by Ensemble of Per Pixel and Object-Based Models

Remote sensing (Basel, Switzerland), 2022-04, Vol.14 (8), p.1953

2022

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An updating of landslide susceptibility prediction from the perspective of space and time

Di xue qian yuan., 2023-09, Vol.14 (5), p.101619, Article 101619

2023

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Comparison and validation of per-pixel and object-based approaches for landslide susceptibility mapping

Geomatics, natural hazards and risk, 2020-01, Vol.11 (1), p.572-600

2020

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Earth observation data sets in monitoring of urbanization and urban heat island of Delhi, India

Geomatics, natural hazards and risk, 2022-12, Vol.13 (1), p.1762-1779

2022

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A novel per pixel and object-based ensemble approach for flood susceptibility mapping

Geomatics, natural hazards and risk, 2020-01, Vol.11 (1), p.2147-2175

2020

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Impact of Spatial Resolution of Digital Elevation Model on Landslide Susceptibility Mapping: A case Study in Kullu Valley, Himalayas

Geosciences (Basel), 2019-08, Vol.9 (8), p.360

2019

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Mapping and characterising buildings for flood exposure analysis using open-source data and artificial intelligence

Natural hazards (Dordrecht), 2023-11, Vol.119 (2), p.805-835

2023

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Uncertainty analysis of non-landslide sample selection in landslide susceptibility prediction using slope unit-based machine learning models

Gondwana research, 2023-05, Vol.117, p.307-320

2023

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Evaluation of Different Machine Learning Methods and Deep-Learning Convolutional Neural Networks for Landslide Detection

A Comparative Study of Statistics-Based Landslide Susceptibility Models: A Case Study of the Region Affected by the Gorkha Earthquake in Nepal

Landslide Detection Using Multi-Scale Image Segmentation and Different Machine Learning Models in the Higher Himalayas

Landslide detection in the Himalayas using machine learning algorithms and U-Net

Chamoli disaster: pronounced changes in water quality and flood plains using Sentinel data

Rapid mapping of landslides in the Western Ghats (India) triggered by 2018 extreme monsoon rainfall using a deep learning approach

A Hybrid Spatial Multi-Criteria Evaluation Method for Mapping Landslide Susceptible Areas in Kullu Valley, Himalayas

UAV-Based Slope Failure Detection Using Deep-Learning Convolutional Neural Networks

Sanitary landfill site selection by integrating AHP and FTOPSIS with GIS: a case study of Memari Municipality, India

Landslide susceptibility prediction using slope unit-based machine learning models considering the heterogeneity of conditioning factors

Rapid Mapping of Landslides on SAR Data by Attention U-Net

Generating multi-temporal landslide inventories through a general deep transfer learning strategy using HR EO data

Landslide susceptibility assessment in a lesser Himalayan road corridor (India) applying fuzzy AHP technique and earth-observation data

Nepalese landslide information system (NELIS): a conceptual framework for a web-based geographical information system for enhanced landslide risk management in Nepal

Landslide Mapping Using Two Main Deep-Learning Convolution Neural Network Streams Combined by the Dempster-Shafer Model

Comparison of Earthquake-Triggered Landslide Inventories: A Case Study of the 2015 Gorkha Earthquake, Nepal

Mapping landslides through a temporal lens: an insight toward multi-temporal landslide mapping using the u-net deep learning model

Predicting Landslides Susceptible Zones in the Lesser Himalayas by Ensemble of Per Pixel and Object-Based Models

An updating of landslide susceptibility prediction from the perspective of space and time

Comparison and validation of per-pixel and object-based approaches for landslide susceptibility mapping

Earth observation data sets in monitoring of urbanization and urban heat island of Delhi, India

A novel per pixel and object-based ensemble approach for flood susceptibility mapping

Impact of Spatial Resolution of Digital Elevation Model on Landslide Susceptibility Mapping: A case Study in Kullu Valley, Himalayas

Mapping and characterising buildings for flood exposure analysis using open-source data and artificial intelligence

Uncertainty analysis of non-landslide sample selection in landslide susceptibility prediction using slope unit-based machine learning models

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