Articles | Volume 15, issue 7
https://doi.org/10.5194/essd-15-3283-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-15-3283-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
27 Jul 2023
Data description paper |
| 27 Jul 2023
| 27 Jul 2023
HR-GLDD: a globally distributed dataset using generalized deep learning (DL) for rapid landslide mapping on high-resolution (HR) satellite imagery
Sansar Raj Meena
CORRESPONDING AUTHOR
Machine Intelligence and Slope Stability Laboratory, Department of
Geosciences, University of Padova, 35129 Padua, Italy
Lorenzo Nava
Machine Intelligence and Slope Stability Laboratory, Department of
Geosciences, University of Padova, 35129 Padua, Italy
Kushanav Bhuyan
Machine Intelligence and Slope Stability Laboratory, Department of
Geosciences, University of Padova, 35129 Padua, Italy
Silvia Puliero
Machine Intelligence and Slope Stability Laboratory, Department of
Geosciences, University of Padova, 35129 Padua, Italy
Lucas Pedrosa Soares
Institute of Energy and Environment, University of São Paulo, 05508-010 São Paulo , Brazil
Helen Cristina Dias
Institute of Energy and Environment, University of São Paulo, 05508-010 São Paulo , Brazil
Mario Floris
Machine Intelligence and Slope Stability Laboratory, Department of
Geosciences, University of Padova, 35129 Padua, Italy
Filippo Catani
Machine Intelligence and Slope Stability Laboratory, Department of
Geosciences, University of Padova, 35129 Padua, Italy
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Short summary
Landslides occur often across the world, with the potential to cause significant damage. Although a substantial amount of research has been conducted on the mapping of landslides using remote-sensing data, gaps and uncertainties remain when developing models to be operational at the global scale. To address this issue, we present the High-Resolution Global landslide Detector Database (HR-GLDD) for landslide mapping with landslide instances from 10 different physiographical regions globally.
Landslides occur often across the world, with the potential to cause significant damage....
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