Publications

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2026

  1. Environ. Earth Sci.
    From static to dynamic landslide susceptibility: a multi-temporal inventory-based approach in the Belluno Alps (NE Italy)
    Rajeshwari Bhookya, Sansar Raj Meena, Aadityan Sridharan, Georg Gutjahr, Gayathri G. Reshma, Saurabh Singh, Ascanio Rosi, Filippo Catani, and Mario Floris
    Environmental Earth Sciences, Jul 2026
  2. JGR: MLC
    FMLD: A Vertical Federated Learning Framework for Privacy-Preserving Multimodal Landslide Detection
    Xiaochuan Tang, Zhong Lu, Xuanmei Fan, Xiaochuang Yan, Huailiang Li, Shui-Hua Jiang, Sansar Raj Meena, Dongfen Li, Kushanav Bhuyan, Alessandro Novellino, Hongjun Li, and Filippo Catani
    Journal of Geophysical Research: Machine Learning and Computation, Feb 2026
  3. Preprint
    Integrating Geomorphology-Based Terrain Segmentation with Machine Learning for Landslide Susceptibility Assessment in the Darjeeling-Sikkim Himalaya, India
    Saurabh Singh, Ashwani Raju, Ascanio Rosi, Ramesh Singh, Mario Floris, and Sansar Raj Meena
    May 2026
  4. Preprint
    nisar.jpg
    NISAR offsets measure pre-failure motion but do not single out the Bhote Koshi avalanche source
    Sansar Raj Meena
    Sep 2026
  5. Preprint
    chronosat.jpg
    Masked Autoencoding (MAE) Outperforms Joint-Embedding Prediction (JEPA) for Frozen-Probe Very-High-Resolution Landslide Segmentation
    Sansar Meena, Xiaochuan Tang, and Filippo Catani
    Aug 2026
  6. Front. Earth Sci.
    Global landslide mapping using U-Net architecture with diverse backbones across multi-regional and multi-sensor remote sensing datasets
    Naveen Chandra, Himadri Vaidya, Kumar Abhinav, and Sansar Raj Meena
    Frontiers in Earth Science, Jan 2026
  7. Preprint
    nisar.jpg
    Brief communication: NISAR pixel offsets measure but do not statistically resolve pre-failure motion at the 26 August 2026 Bhote Koshi ice–rock avalanche, Nepal
    Sansar Raj Meena
    Sep 2026
  8. Weights
    chronosat.jpg
    ChronoSat MAE and JEPA Spatial Encoder Weights for Frozen-Probe Very-High-Resolution Landslide Segmentation
    Sansar Raj Meena, Xiaochuan Tang, and Filippo Catani
    Aug 2026
    Open model weights, two 867M-parameter encoders, CC BY 4.0

2025

  1. BEGE
    Landslide susceptibility mapping using hybrid machine learning classifiers: a case study of Neelum Valley, Pakistan
    Sansar Raj Meena, Muhammad Afaq Hussain, Hafiz Ullah, and Ibad Ullah
    Bulletin of Engineering Geology and the Environment, Apr 2025
  2. Landslides
    Landslide susceptibility mapping using artificial intelligence models: a case study in the Himalayas
    Muhammad Afaq Hussain, Zhanlong Chen, Yulong Zhou, Sansar Raj Meena, Nafees Ali, and Safeer Ullah Shah
    Landslides, Feb 2025
  3. Adv. Space Res.
    Optimized YOLOv8 with multi-level attention for satellite image-based landslide detection
    Naveen Chandra, Himadri Vaidya, Magaly Koch, Rajeshwari Bhookya, Saurabh Singh, and Sansar Raj Meena
    Advances in Space Research, Aug 2025
  4. J. Hydrol. Reg.
    Hybrid heterogeneous ensemble learning framework for flood susceptibility mapping in Balochistan, Pakistan
    Muhammad Afaq Hussain, Zhanlong Chen, Biswajeet Pradhan, Sansar Raj Meena, and Yulong Zhou
    Journal of Hydrology: Regional Studies, Oct 2025
  5. Eng. Geol.
    Towards automatic delineation of landslide source and runout
    Kushanav Bhuyan, Kamal Rana, Ugur Ozturk, Lorenzo Nava, Ascanio Rosi, Sansar Raj Meena, Xuanmei Fan, Mario Floris, Cees van Westen, and Filippo Catani
    Engineering Geology, Feb 2025
  6. Sci. Rep.
    Enhancing landslide detection in Western Ghats of Kerala, India with deep learning and Explainable AI
    Abhilash Sreekumar, Hemalatha Thirugnanam, Sansar Raj Meena, and Maneesha Vinodini Ramesh
    Scientific Reports, Dec 2025
  7. IEEE TGRS
    Mamba for Landslide Detection: A Lightweight Model for Mapping Landslides With Very High-Resolution Images
    Xiaochuan Tang, Zhong Lu, Xuanmei Fan, Xiaochuang Yan, Xiaojun Yuan, Dongfen Li, Huailiang Li, Hongjun Li, Sansar Raj Meena, Alessandro Novellino, Lorenzo Nava, and Filippo Catani
    IEEE Transactions on Geoscience and Remote Sensing, Dec 2025
  8. Trans. GIS
    A Novel Multi-Layer Attention Boosted YOLOv10 Network for Landslide Mapping Using Remote Sensing Data
    Naveen Chandra, Himadri Vaidya, Neelima Satyam, Xiaochuan Tang, Saurabh Singh, and Sansar Raj Meena
    Transactions in GIS, Mar 2025
  9. Front. Earth Sci.
    Editorial: Prevention, mitigation, and relief of compound and chained natural hazards, volume II
    Chong Xu, Qi Yao, Xiangli He, Wenwen Qi, Sansar Raj Meena, Wentao Yang, and Liam Taylor
    Frontiers in Earth Science, May 2025
  10. NHESS

2024

  1. BEGE
    Utilizing deep learning approach to develop landslide susceptibility mapping considering landslide types
    Yue Wang, Chao Zhou, Ying Cao, Sansar Raj Meena, Yang Feng, and Yang Wang
    Bulletin of Engineering Geology and the Environment, Oct 2024
  2. Front. Earth Sci.
    Editorial: Prevention, mitigation, and relief of compound and chained natural hazards
    Chong Xu, Qi Yao, Xiangli He, Wenwen Qi, Sansar Raj Meena, Wentao Yang, and Liam Taylor
    Frontiers in Earth Science, Jul 2024
  3. Remote Sens.
    A Novel Attention-Based Generalized Efficient Layer Aggregation Network for Landslide Detection from Satellite Data in the Higher Himalayas, Nepal
    Naveen Chandra, Himadri Vaidya, Suraj Sawant, and Sansar Raj Meena
    Remote Sensing, Jul 2024

2023

  1. Landslides
  2. Gondwana Res.
    Uncertainty analysis of non-landslide sample selection in landslide susceptibility prediction using slope unit-based machine learning models
    Zhilu Chang, Jinsong Huang, Faming Huang, Kushanav Bhuyan, Sansar Raj Meena, and Filippo Catani
    Gondwana Research, May 2023
  3. Geosci. Front.
    An updating of landslide susceptibility prediction from the perspective of space and time
    Zhilu Chang, Faming Huang, Jinsong Huang, Shui-Hua Jiang, Yuting Liu, Sansar Raj Meena, and Filippo Catani
    Geoscience Frontiers, Sep 2023
  4. JRMGE
    Landslide susceptibility prediction using slope unit-based machine learning models considering the heterogeneity of conditioning factors
    Zhilu Chang, Filippo Catani, Faming Huang, Gengzhe Liu, Sansar Raj Meena, Jinsong Huang, and Chuangbing Zhou
    Journal of Rock Mechanics and Geotechnical Engineering, May 2023
  5. GISci. RS
    Mapping landslides through a temporal lens: an insight toward multi-temporal landslide mapping using the u-net deep learning model
    Kushanav Bhuyan, Sansar Raj Meena, Lorenzo Nava, Cees van Westen, Mario Floris, and Filippo Catani
    GIScience & Remote Sensing, Mar 2023
  6. ESSD
    HR-GLDD: a globally distributed dataset using generalized deep learning (DL) for rapid landslide mapping on high-resolution (HR) satellite imagery
    Sansar Raj Meena, Lorenzo Nava, Kushanav Bhuyan, Silvia Puliero, Lucas Pedrosa Soares, Helen Cristina Dias, Mario Floris, and Filippo Catani
    Earth System Science Data, Jul 2023

2022

  1. Landslides
    Landslide detection in the Himalayas using machine learning algorithms and U-Net
    Sansar Raj Meena, Lucas Pedrosa Soares, Carlos H. Grohmann, Cees van Westen, Kushanav Bhuyan, Ramesh P. Singh, Mario Floris, and Filippo Catani
    Landslides, Feb 2022
  2. Nat. Hazards
    Mapping and characterising buildings for flood exposure analysis using open-source data and artificial intelligence
    Kushanav Bhuyan, Cees Van Westen, Jiong Wang, and Sansar Raj Meena
    Natural Hazards, Sep 2022
  3. CCF THPC
    Landslide susceptibility assessment based on multi GPUs: a deep learning approach
    Chuliang Guo, Jinxia Wu, Shuaihe Zhao, Zihao Wang, Sansar Raj Meena, and Feng Zhang
    CCF Transactions on High Performance Computing, Apr 2022
  4. GNHR
    Earth observation data sets in monitoring of urbanization and urban heat island of Delhi, India
    Prafull Singh, Anindita Sarkar Chaudhuri, Pradipika Verma, Vivek Kumar Singh, and Sansar Raj Meena
    Geomatics, Natural Hazards and Risk, Jul 2022
  5. IEEE GRSL
  6. Remote Sens.
  7. Remote Sens.
    Predicting Landslides Susceptible Zones in the Lesser Himalayas by Ensemble of Per Pixel and Object-Based Models
    Ujjwal Sur, Prafull Singh, Sansar Raj Meena, and Trilok Nath Singh
    Remote Sensing, Apr 2022
  8. NHESS
    Assessing the importance of conditioning factor selection in landslide susceptibility for the province of Belluno (region of Veneto, northeastern Italy)
    Sansar Raj Meena, Silvia Puliero, Kushanav Bhuyan, Mario Floris, and Filippo Catani
    Natural Hazards and Earth System Sciences, Apr 2022

2021

  1. Landslides
    Rapid mapping of landslides in the Western Ghats (India) triggered by 2018 extreme monsoon rainfall using a deep learning approach
    Sansar Raj Meena, Omid Ghorbanzadeh, Cees J. van Westen, Thimmaiah Gudiyangada Nachappa, Thomas Blaschke, Ramesh P. Singh, and Raju Sarkar
    Landslides, Jan 2021
  2. Environ. Earth Sci.
    Chamoli disaster: pronounced changes in water quality and flood plains using Sentinel data
    Sansar Raj Meena, Akshansha Chauhan, Kushanav Bhuyan, and Ramesh P. Singh
    Environmental Earth Sciences, Aug 2021
  3. IJRS
    Changes in the flood plains and water quality along the Himalayan rivers after the Chamoli disaster of 7 February 2021
    Sansar Raj Meena, Kushanav Bhuyan, Akshansha Chauhan, and Ramesh P. Singh
    International Journal of Remote Sensing, Aug 2021
  4. RSL
    Snow covered with dust after Chamoli rockslide: inference based on high-resolution satellite data
    Sansar Raj Meena, Kushanav Bhuyan, Akshansha Chauhan, and Ramesh P. Singh
    Remote Sensing Letters, Jun 2021
  5. IEEE JSTARS
    Landslide Mapping Using Two Main Deep-Learning Convolution Neural Network Streams Combined by the Dempster–Shafer Model
    Omid Ghorbanzadeh, Sansar Raj Meena, Hejar Shahabi Sorman Abadi, Sepideh Tavakkoli Piralilou, Lv Zhiyong, and Thomas Blaschke
    IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Jun 2021
  6. NHESS
    Nepalese landslide information system (NELIS): a conceptual framework for a web-based geographical information system for enhanced landslide risk management in Nepal
    Sansar Raj Meena, Florian Albrecht, Daniel Hölbling, Omid Ghorbanzadeh, and Thomas Blaschke
    Natural Hazards and Earth System Sciences, Jan 2021
  7. PhD thesis
    Rapid generation of event-based landslide inventory and susceptibility maps using deep learning and Earth observation data
    Sansar Raj Meena
    Paris Lodron University of Salzburg, Department of Geoinformatics – Z_GIS, Jan 2021

2020

  1. ESPR
    Sanitary landfill site selection by integrating AHP and FTOPSIS with GIS: a case study of Memari Municipality, India
    Sk Ajim Ali, Farhana Parvin, Nadhir Al-Ansari, Quoc Bao Pham, Ateeque Ahmad, Sansar Raj Meena, Duong Tran Anh, Le Huy Ba, and Van Nam Thai
    Environmental Science and Pollution Research, Oct 2020
  2. GNHR
    Comparison and validation of per-pixel and object-based approaches for landslide susceptibility mapping
    Thimmaiah Gudiyangada Nachappa, Stefan Kienberger, Sansar Raj Meena, Daniel Hölbling, and Thomas Blaschke
    Geomatics, Natural Hazards and Risk, Jan 2020
  3. GNHR
    A novel per pixel and object-based ensemble approach for flood susceptibility mapping
    Thimmaiah Gudiyangada Nachappa and Sansar Raj Meena
    Geomatics, Natural Hazards and Risk, Jan 2020
  4. GNHR
    Landslide susceptibility assessment in a lesser Himalayan road corridor (India) applying fuzzy AHP technique and earth-observation data
    Ujjwal Sur, Prafull Singh, and Sansar Raj Meena
    Geomatics, Natural Hazards and Risk, Jan 2020

2019

  1. Geosciences
    A Hybrid Spatial Multi-Criteria Evaluation Method for Mapping Landslide Susceptible Areas in Kullu Valley, Himalayas
    Sansar Raj Meena, Brijendra Kumar Mishra, and Sepideh Tavakkoli Piralilou
    Geosciences, Apr 2019
  2. Geosciences
    Impact of Spatial Resolution of Digital Elevation Model on Landslide Susceptibility Mapping: A Case Study in Kullu Valley, Himalayas
    Sansar Raj Meena and Thimmaiah Gudiyangada Nachappa
    Geosciences, Aug 2019
  3. Geosciences
    Comparison of Earthquake-Triggered Landslide Inventories: A Case Study of the 2015 Gorkha Earthquake, Nepal
    Sansar Raj Meena and Sepideh Tavakkoli Piralilou
    Geosciences, Oct 2019
  4. IJGI
    A Comparative Study of Statistics-Based Landslide Susceptibility Models: A Case Study of the Region Affected by the Gorkha Earthquake in Nepal
    Sansar Raj Meena, Omid Ghorbanzadeh, and Thomas Blaschke
    ISPRS International Journal of Geo-Information, Feb 2019
  5. Remote Sens.
    Evaluation of Different Machine Learning Methods and Deep-Learning Convolutional Neural Networks for Landslide Detection
    Omid Ghorbanzadeh, Thomas Blaschke, Khalil Gholamnia, Sansar Raj Meena, Dirk Tiede, and Jagannath Aryal
    Remote Sensing, Jan 2019
  6. Remote Sens.
    UAV-Based Slope Failure Detection Using Deep-Learning Convolutional Neural Networks
    Omid Ghorbanzadeh, Sansar Raj Meena, Thomas Blaschke, and Jagannath Aryal
    Remote Sensing, Aug 2019
  7. Remote Sens.
    Landslide Detection Using Multi-Scale Image Segmentation and Different Machine Learning Models in the Higher Himalayas
    Sepideh Tavakkoli Piralilou, Hejar Shahabi, Ben Jarihani, Omid Ghorbanzadeh, Thomas Blaschke, Khalil Gholamnia, Sansar Meena, and Jagannath Aryal
    Remote Sensing, Nov 2019
  8. Preprint
    A Conceptual framework for web-based Nepalese landslide information system
    Sansar Raj Meena, Omid Ghorbanzadeh, Daniel Hölbling, Florian Albrecht, and Thomas Blaschke
    Jul 2019