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Automatic landslide mapping from satellite imagery with a topography-driven thresholding algorithm

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111 days ago
Automatic landslide mapping from satellite imagery with a topography-driven thresholding algorithm https://t.co/4iK8JELFaB
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Highlighted in Geomorphometry 2018

Additional Information

Competing Interests

The authors declare that they have no competing interests.

Author Contributions

Massimiliano Alvioli conceived and designed the experiments, performed the experiments, analyzed the data, contributed reagents/materials/analysis tools, prepared figures and/or tables, authored or reviewed drafts of the paper, approved the final draft.

Alessandro C Mondini conceived and designed the experiments, analyzed the data, contributed reagents/materials/analysis tools, authored or reviewed drafts of the paper, approved the final draft.

Federica Fiorucci analyzed the data, contributed reagents/materials/analysis tools, prepared figures and/or tables, authored or reviewed drafts of the paper, approved the final draft, landslide mapping from orthophotos.

Mauro Cardinali contributed reagents/materials/analysis tools, authored or reviewed drafts of the paper, approved the final draft, landslide mapping from orthophotos.

Ivan Marchesini contributed reagents/materials/analysis tools, prepared figures and/or tables, authored or reviewed drafts of the paper, approved the final draft.

Data Deposition

The following information was supplied regarding data availability:

The research in this article did not generate any data or code, because we present a case study of a general landslide mapping method.

Funding

Partial support for this work was provided by the Natural Environment Research Council (NERC) [grant number NERC/DFID NE/P000681/1], within the LANDSLIP project.


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