Semi-automatic mapping of shallow landslides using free Sentinel-2 images and Google Earth Engine
Abstract 2). PL density and distribution match well with the benchmark. However, the false positives (30 % to 50 % of cases) are challenging to filter, especially when they correspond to riverbank erosions or cultivated land.
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource
- Language
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Englisch
- Bibliographic citation
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Semi-automatic mapping of shallow landslides using free Sentinel-2 images and Google Earth Engine ; volume:23 ; number:7 ; year:2023 ; pages:2625-2648 ; extent:24
Natural hazards and earth system sciences ; 23, Heft 7 (2023), 2625-2648 (gesamt 24)
- Creator
- DOI
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10.5194/nhess-23-2625-2023
- URN
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urn:nbn:de:101:1-2023072704255858506983
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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14.08.2025, 10:51 AM CEST
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Associated
- Notti, Davide
- Cignetti, Martina
- Godone, Danilo
- Giordan, Daniele
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Characterisation of weathered clayey soils responsible for shallow landslides
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LABS: an agent-based run-out program for shallow landslides
Semi-automatic mapping of shallow landslides using free Sentinel-2 and Google Earth Engine
Tree-root control of shallow landslides
Investigating slow-moving shallow soil landslides using Sentinel-1 InSAR data in Gisborne, New Zealand
Cost-sensitive rainfall thresholds for shallow landslides
Three-dimensional hydrological thresholds to predict shallow landslides
A model for triggering mechanisms of shallow landslides
Automated reconstruction of rainfall events responsible for shallow landslides
Effects of soil heterogeneity on susceptibility of shallow landslides
Characterisation of weathered clayey soils responsible for shallow landslides
Distributed modelling of shallow landslides triggered by intense rainfall
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