Articles | Volume 21, issue 5
https://doi.org/10.5194/nhess-21-1495-2021
© Author(s) 2021. 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-21-1495-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
12 May 2021
Research article |
| 12 May 2021
| 12 May 2021
HazMapper: a global open-source natural hazard mapping application in Google Earth Engine
Department of Marine, Earth, and Atmospheric Sciences, North Carolina State University, Raleigh, NC 27695, USA
North Carolina Geological Survey, Division of Energy, Mineral, and Land Resources, Department of Environmental Quality, Swannanoa, NC 28778, USA
Karl W. Wegmann
Department of Marine, Earth, and Atmospheric Sciences, North Carolina State University, Raleigh, NC 27695, USA
Center for Geospatial Analytics, North Carolina State University, Raleigh, NC 27695, USA
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Total article views: 5,459 (including HTML, PDF, and XML)
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Total article views: 1,766 (including HTML, PDF, and XML)
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- Responses to Landslides and Landslide Mapping on the Blue Ridge Escarpment, Polk County, North Carolina, USA R. Wooten et al. 10.2113/EEG-D-21-00022
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- Combination of optical images and SAR images for detecting landslide scars, using a classification and regression tree S. Phakdimek et al. 10.1080/01431161.2023.2224096
- Automated determination of landslide locations after large trigger events: advantages and disadvantages compared to manual mapping D. Milledge et al. 10.5194/nhess-22-481-2022
- Landslides Triggered by Medicane Ianos in Greece, September 2020: Rapid Satellite Mapping and Field Survey S. Valkaniotis et al. 10.3390/app122312443
- Inventories of natural hazards in under-reported regions: a multi-method insight from a tropical mountainous landscape V. Kanyiginya et al. 10.1080/19376812.2023.2280589
- Insights on the growth and mobility of debris flows from repeat high-resolution lidar C. Scheip & K. Wegmann 10.1007/s10346-022-01862-2
- Augmentation of WRF-Hydro to simulate overland-flow- and streamflow-generated debris flow susceptibility in burn scars C. Li et al. 10.5194/nhess-22-2317-2022
- Evaluation of machine learning-based algorithms for landslide detection across satellite sensors for the 2019 Cyclone Idai event, Chimanimani District, Zimbabwe R. Das & K. Wegmann 10.1007/s10346-022-01912-9
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- Combining remote sensing techniques and field surveys for post-earthquake reconnaissance missions G. Giardina et al. 10.1007/s10518-023-01716-9
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Latest update: 22 Apr 2024
Short summary
For many decades, natural disasters have been monitored by trained analysts using multiple satellite images to observe landscape change. This approach is incredibly useful, but our new tool, HazMapper, offers researchers and the scientifically curious public a web-accessible
cloud-based tool to perform similar analysis. We intend for the tool to both be used in scientific research and provide rapid response to global natural disasters like landslides, wildfires, and volcanic eruptions.
For many decades, natural disasters have been monitored by trained analysts using multiple...
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