Articles | Volume 22, issue 3
https://doi.org/10.5194/nhess-22-753-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-22-753-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Generating landslide density heatmaps for rapid detection using open-access satellite radar data in Google Earth Engine
Alexander L. Handwerger
CORRESPONDING AUTHOR
Joint Institute for Regional Earth System Science and Engineering,
University of California, Los Angeles, Los Angeles, CA, USA
Jet Propulsion Laboratory, California Institute of Technology,
Pasadena, CA, USA
Department of Geology, University of Maryland, College Park, MD, USA
Shannan Y. Jones
Department of Geology, University of Maryland, College Park, MD, USA
Pukar Amatya
University of Maryland, Baltimore County, Baltimore, MD, USA
Goddard Earth Sciences Technology and Research II, Baltimore, MD, USA
Hydrological Sciences Laboratory, NASA Goddard Space Flight Center,
Greenbelt, MD, USA
Hannah R. Kerner
Department of Geography, University of Maryland, College Park, MD, USA
Dalia B. Kirschbaum
Hydrological Sciences Laboratory, NASA Goddard Space Flight Center,
Greenbelt, MD, USA
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Cited
41 citations as recorded by crossref.
- Detecting Coseismic Landslides in GEE Using Machine Learning Algorithms on Combined Optical and Radar Imagery S. Peters et al.
- Landslide causative factors evaluation using GIS in the tectonically active Glafkos River area, northwestern Peloponnese, Greece G. Bathrellos et al.
- Automatic detection of earthquake triggered landslides using Sentinel-1 SAR imagery based on deep learning L. Chen et al.
- Deep Self-Supervised Disturbance Mapping With the OPERA Sentinel-1 Radiometric Terrain Corrected SAR Backscatter Product H. Hardiman-Mostow et al.
- Failure mechanism of the rainfall-induced landslide in December 2024 in Tiruvannamalai, India: insights from the field, geotechnical, and remote sensing observations S. Chandrasekaran et al.
- Timing landslide and flash flood events from SAR satellite: a regionally applicable methodology illustrated in African cloud-covered tropical environments A. Deijns et al.
- Using Sentinel-1 radar amplitude time series to constrain the timings of individual landslides: a step towards understanding the controls on monsoon-triggered landsliding K. Burrows et al.
- Managing natural disasters: An analysis of technological advancements, opportunities, and challenges M. Krichen et al.
- Multi-Temporal Satellite Image Composites in Google Earth Engine for Improved Landslide Visibility: A Case Study of a Glacial Landscape E. Lindsay et al.
- Event-based rainfall-induced landslide inventories and rainfall thresholds for Malawi P. Niyokwiringirwa et al.
- Automated Dating of Recent Landslides Using Sentinel-2 and Sentinel-1 on Google Earth Engine L. Barbera et al.
- Multi-sensor deep learning approach for landslide susceptibility mapping under climate and anthropogenic pressures X. Zhang et al.
- Landslides Detection and Mapping with an Advanced Multi-Temporal Satellite Optical Technique V. Satriano et al.
- Semi-automatic mapping of shallow landslides using free Sentinel-2 images and Google Earth Engine D. Notti et al.
- Mapping and Pre- and Post-Failure Analyses of the April 2019 Kantutani Landslide in La Paz, Bolivia, Using Synthetic Aperture Radar Data M. Shan et al.
- Framework for reservoir sedimentation estimation using the hydrological model and campaign—A case study of A Vuong reservoir in central Vietnam B. Nguyen et al.
- Geometrical Variation Analysis of Landslides in Different Geological Settings Using Satellite Images: Case Studies in Japan and Sri Lanka S. Neranjan et al.
- CO2 emission heat map of Gulf Cooperation Council region using Python for Geographic Information Systems A. Deshmukh
- Sentinel-1 SAR-based globally distributed co-seismic landslide detection by deep neural networks L. Nava et al.
- Assessing Many Image Processing Products Retrieved from Sentinel-2 Data to Monitor Shallow Landslides in Agricultural Environments R. Cavalli et al.
- Monitoring landslide disturbances using distributed acoustic sensing under extreme weather conditions C. Zhu et al.
- Impact of freeze-thaw on landslide activity under diverse topographies using geospatial data mining: Insights from Qilian Permafrost Region, Tibetan Plateau Y. Yang et al.
- A robust SAR change detection pipeline for landslide mapping using tile-wise HFEM and graph-cut Refinement E. P et al.
- Patagonian Andes Landslides Inventory: The Deep Learning’s Way to Their Automatic Detection B. Morales et al.
- Augmentation of WRF-Hydro to simulate overland-flow- and streamflow-generated debris flow susceptibility in burn scars C. Li et al.
- Detection of landslide timing, reactivation and precursory motion during the 2018, Lombok, Indonesia earthquake sequence with Sentinel-1 K. Burrows et al.
- Rapid Landslide Detection Following an Extreme Rainfall Event Using Remote Sensing Indices, Synthetic Aperture Radar Imagery, and Probabilistic Methods A. Chrysafi et al.
- Event-based mapping and spatial pattern analysis of landslides in parts of central Vietnam R. Das et al.
- Solutions for Sustainable and Resilient Communication Infrastructure in Disaster Relief and Management Scenarios B. Karaman et al.
- Landslides Triggered by Medicane Ianos in Greece, September 2020: Rapid Satellite Mapping and Field Survey S. Valkaniotis et al.
- Advances in Landslide Detection through Google Earth Engine: A Comprehensive Review M. Laghari et al.
- Mapping built infrastructure in semi-arid systems using data integration and open-source approaches for image classification M. Dolman et al.
- Landslide Detection in Google Earth Engine Using Deep Learning Methods P. Jalan et al.
- Understanding Landslide Expression in SAR Backscatter Data: Global Study and Disaster Response Application E. Lindsay et al.
- Stepwise integration of analytical hierarchy process with machine learning algorithms for landslide, gully erosion and flash flood susceptibility mapping over the North-Moungo perimeter, Cameroon A. Mfondoum et al.
- CAS Landslide Dataset: A Large-Scale and Multisensor Dataset for Deep Learning-Based Landslide Detection Y. Xu et al.
- Comprehensive review of remote sensing integration with deep learning in landslide forecasting and future directions N. Pawar & K. Sharma
- Mapping landslides from space: A review A. Novellino et al.
- Combining remote sensing techniques and field surveys for post-earthquake reconnaissance missions G. Giardina et al.
- Indicative Effect of Excess Topography on Potential Risk Location of Giant Ancient Landslides—A Case Study in Lengqu River Section X. Wang & S. Bai
- Learnings from rapid response efforts to remotely detect landslides triggered by the August 2021 Nippes earthquake and Tropical Storm Grace in Haiti P. Amatya et al.
41 citations as recorded by crossref.
- Detecting Coseismic Landslides in GEE Using Machine Learning Algorithms on Combined Optical and Radar Imagery S. Peters et al.
- Landslide causative factors evaluation using GIS in the tectonically active Glafkos River area, northwestern Peloponnese, Greece G. Bathrellos et al.
- Automatic detection of earthquake triggered landslides using Sentinel-1 SAR imagery based on deep learning L. Chen et al.
- Deep Self-Supervised Disturbance Mapping With the OPERA Sentinel-1 Radiometric Terrain Corrected SAR Backscatter Product H. Hardiman-Mostow et al.
- Failure mechanism of the rainfall-induced landslide in December 2024 in Tiruvannamalai, India: insights from the field, geotechnical, and remote sensing observations S. Chandrasekaran et al.
- Timing landslide and flash flood events from SAR satellite: a regionally applicable methodology illustrated in African cloud-covered tropical environments A. Deijns et al.
- Using Sentinel-1 radar amplitude time series to constrain the timings of individual landslides: a step towards understanding the controls on monsoon-triggered landsliding K. Burrows et al.
- Managing natural disasters: An analysis of technological advancements, opportunities, and challenges M. Krichen et al.
- Multi-Temporal Satellite Image Composites in Google Earth Engine for Improved Landslide Visibility: A Case Study of a Glacial Landscape E. Lindsay et al.
- Event-based rainfall-induced landslide inventories and rainfall thresholds for Malawi P. Niyokwiringirwa et al.
- Automated Dating of Recent Landslides Using Sentinel-2 and Sentinel-1 on Google Earth Engine L. Barbera et al.
- Multi-sensor deep learning approach for landslide susceptibility mapping under climate and anthropogenic pressures X. Zhang et al.
- Landslides Detection and Mapping with an Advanced Multi-Temporal Satellite Optical Technique V. Satriano et al.
- Semi-automatic mapping of shallow landslides using free Sentinel-2 images and Google Earth Engine D. Notti et al.
- Mapping and Pre- and Post-Failure Analyses of the April 2019 Kantutani Landslide in La Paz, Bolivia, Using Synthetic Aperture Radar Data M. Shan et al.
- Framework for reservoir sedimentation estimation using the hydrological model and campaign—A case study of A Vuong reservoir in central Vietnam B. Nguyen et al.
- Geometrical Variation Analysis of Landslides in Different Geological Settings Using Satellite Images: Case Studies in Japan and Sri Lanka S. Neranjan et al.
- CO2 emission heat map of Gulf Cooperation Council region using Python for Geographic Information Systems A. Deshmukh
- Sentinel-1 SAR-based globally distributed co-seismic landslide detection by deep neural networks L. Nava et al.
- Assessing Many Image Processing Products Retrieved from Sentinel-2 Data to Monitor Shallow Landslides in Agricultural Environments R. Cavalli et al.
- Monitoring landslide disturbances using distributed acoustic sensing under extreme weather conditions C. Zhu et al.
- Impact of freeze-thaw on landslide activity under diverse topographies using geospatial data mining: Insights from Qilian Permafrost Region, Tibetan Plateau Y. Yang et al.
- A robust SAR change detection pipeline for landslide mapping using tile-wise HFEM and graph-cut Refinement E. P et al.
- Patagonian Andes Landslides Inventory: The Deep Learning’s Way to Their Automatic Detection B. Morales et al.
- Augmentation of WRF-Hydro to simulate overland-flow- and streamflow-generated debris flow susceptibility in burn scars C. Li et al.
- Detection of landslide timing, reactivation and precursory motion during the 2018, Lombok, Indonesia earthquake sequence with Sentinel-1 K. Burrows et al.
- Rapid Landslide Detection Following an Extreme Rainfall Event Using Remote Sensing Indices, Synthetic Aperture Radar Imagery, and Probabilistic Methods A. Chrysafi et al.
- Event-based mapping and spatial pattern analysis of landslides in parts of central Vietnam R. Das et al.
- Solutions for Sustainable and Resilient Communication Infrastructure in Disaster Relief and Management Scenarios B. Karaman et al.
- Landslides Triggered by Medicane Ianos in Greece, September 2020: Rapid Satellite Mapping and Field Survey S. Valkaniotis et al.
- Advances in Landslide Detection through Google Earth Engine: A Comprehensive Review M. Laghari et al.
- Mapping built infrastructure in semi-arid systems using data integration and open-source approaches for image classification M. Dolman et al.
- Landslide Detection in Google Earth Engine Using Deep Learning Methods P. Jalan et al.
- Understanding Landslide Expression in SAR Backscatter Data: Global Study and Disaster Response Application E. Lindsay et al.
- Stepwise integration of analytical hierarchy process with machine learning algorithms for landslide, gully erosion and flash flood susceptibility mapping over the North-Moungo perimeter, Cameroon A. Mfondoum et al.
- CAS Landslide Dataset: A Large-Scale and Multisensor Dataset for Deep Learning-Based Landslide Detection Y. Xu et al.
- Comprehensive review of remote sensing integration with deep learning in landslide forecasting and future directions N. Pawar & K. Sharma
- Mapping landslides from space: A review A. Novellino et al.
- Combining remote sensing techniques and field surveys for post-earthquake reconnaissance missions G. Giardina et al.
- Indicative Effect of Excess Topography on Potential Risk Location of Giant Ancient Landslides—A Case Study in Lengqu River Section X. Wang & S. Bai
- Learnings from rapid response efforts to remotely detect landslides triggered by the August 2021 Nippes earthquake and Tropical Storm Grace in Haiti P. Amatya et al.
Saved (final revised paper)
Latest update: 30 Apr 2026
Short summary
Rapid detection of landslides is critical for emergency response and disaster mitigation. Here we develop a global landslide detection tool in Google Earth Engine that uses satellite radar data to measure changes in the ground surface properties. We find that we can detect areas with high landslide density within days of a triggering event. Our approach allows the broader hazard community to utilize these state-of-the-art data for improved situational awareness of landslide hazards.
Rapid detection of landslides is critical for emergency response and disaster mitigation. Here...
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