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GIScience & Remote Sensing Volume 60, 2023 - Issue 1
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Research Article

Mapping landslides through a temporal lens: an insight toward multi-temporal landslide mapping using the u-net deep learning model

Kushanav Bhuyana Machine Intelligence and Slope Stability Laboratory, Department of Geosciences, University of Padova, Padua, Italy;b Centre for Disaster Resilience, Department of Applied Earth Sciences, Faculty of Geo-information Science and Earth Observation (ITC), University of Twente, Enschede, the NetherlandsORCID Iconhttps://orcid.org/0000-0002-6173-8696View further author information
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Sansar Raj Meenaa Machine Intelligence and Slope Stability Laboratory, Department of Geosciences, University of Padova, Padua, Italy;b Centre for Disaster Resilience, Department of Applied Earth Sciences, Faculty of Geo-information Science and Earth Observation (ITC), University of Twente, Enschede, the NetherlandsCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0001-6175-6491View further author information
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Lorenzo Navaa Machine Intelligence and Slope Stability Laboratory, Department of Geosciences, University of Padova, Padua, ItalyORCID Iconhttps://orcid.org/0000-0002-2327-8721View further author information
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Cees van Westenb Centre for Disaster Resilience, Department of Applied Earth Sciences, Faculty of Geo-information Science and Earth Observation (ITC), University of Twente, Enschede, the NetherlandsORCID Iconhttps://orcid.org/0000-0002-2992-902XView further author information
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Mario Florisa Machine Intelligence and Slope Stability Laboratory, Department of Geosciences, University of Padova, Padua, ItalyORCID Iconhttps://orcid.org/0000-0002-8691-2179View further author information
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Filippo Catania Machine Intelligence and Slope Stability Laboratory, Department of Geosciences, University of Padova, Padua, ItalyORCID Iconhttps://orcid.org/0000-0001-5185-4725View further author information
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Article: 2182057 | Received 22 Jul 2022, Accepted 09 Feb 2023, Published online: 13 Mar 2023

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Chaoying Zhao, Liquan Chen, Yueping Yin, Xiaojie Liu, Bin Li, Chaofeng Ren & Donglie Liu. (2023) Failure process and three-dimensional motions of mining-induced Jianshanying landslide in China observed by optical, LiDAR and SAR datasets. GIScience & Remote Sensing 60:1.
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Articles from other publishers (5)

Lei Wu, Rui Liu, Nengpan Ju, Ao Zhang, Jingsong Gou, Guolei He & Yuzhu Lei. (2024) Landslide mapping based on a hybrid CNN-transformer network and deep transfer learning using remote sensing images with topographic and spectral features. International Journal of Applied Earth Observation and Geoinformation 126, pages 103612.
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Hesheng Chen, Yi He, Lifeng Zhang, Wang Yang, Yaoxiang Liu, Binghai Gao, Qing Zhang & Jiangang Lu. (2024) A Multi-Input Channel U-Net Landslide Detection Method Fusing SAR Multisource Remote Sensing Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 17, pages 1215-1232.
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Mariano Di Napoli, Hakan Tanyas, Daniela Castro-Camilo, Domenico Calcaterra, Andrea Cevasco, Diego Di Martire, Giacomo Pepe, Pierluigi Brandolini & Luigi Lombardo. (2023) On the estimation of landslide intensity, hazard and density via data-driven models. Natural Hazards 119:3, pages 1513-1530.
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Nicola Nocentini, Camilla Medici, Francesco Barbadori, Alessio Gatto, Rachele Franceschini, Matteo del Soldato, Ascanio Rosi & Samuele Segoni. (2023) Optimization of rainfall thresholds for landslide early warning through false alarm reduction and a multi-source validation. Landslides.
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Yiwen Liang, Yi Zhang, Yuanxi Li & Jiaqi Xiong. (2023) Automatic Identification for the Boundaries of InSAR Anomalous Deformation Areas Based on Semantic Segmentation Model. Remote Sensing 15:21, pages 5262.
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