DEM Generation from Multi-View Satellite Images in Sub-Sahel Region

Floods are causing a significant loss of human lives and valuable resources in West Africa. In particular, Niger and Burkina Faso were highly affected areas in past years. In order to predict flood, an accurate Digital elevation model (DEM) is required for flood mapping. At the studied area in Niger...

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Main Authors: M. Abraiz, E. Belcore, M. Piras
Format: Article
Language:English
Published: Copernicus Publications 2025-05-01
Series:The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:https://isprs-archives.copernicus.org/articles/XLVIII-M-6-2025/9/2025/isprs-archives-XLVIII-M-6-2025-9-2025.pdf
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author M. Abraiz
E. Belcore
M. Piras
author_facet M. Abraiz
E. Belcore
M. Piras
author_sort M. Abraiz
collection DOAJ
description Floods are causing a significant loss of human lives and valuable resources in West Africa. In particular, Niger and Burkina Faso were highly affected areas in past years. In order to predict flood, an accurate Digital elevation model (DEM) is required for flood mapping. At the studied area in Niger, up to this date, the LiDAR DEMs are scarcely available, and the only available DEMs are global DEMs like global SRTM DEMs with a resolution of 10m. These global DEMs are not accurate enough to be used for flood mapping. So, in this context, this study investigates the potential of multidate, multi-view stereo pairs PlanetScope images for the generation of DEM. Three DEMs were generated from images with slightly different view angles to see the effect of view angles of images on 3D modelling. One of the DEM generated by PlanetScope images was compared with DEM generated by high-resolution drone imagery and shows the normalized Median of Absolute Deviation (NMAD) of the elevation differences of 10m. Results show that planetScope images are useful assets for generating multiple DEMs due to their high temporal resolution. Such DEMs could be extremely useful for studying dynamic phenomena or monitoring disaster events like floods.
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spelling doaj-art-56739f1dcdef4ffd8782352a8af013402025-08-20T03:07:35ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342025-05-01XLVIII-M-6-202591410.5194/isprs-archives-XLVIII-M-6-2025-9-2025DEM Generation from Multi-View Satellite Images in Sub-Sahel RegionM. Abraiz0E. Belcore1M. Piras2Dept. of Environmental, Land and Infrastructure Engineering, Politecnico di Torino, 10129, ItalyDept. of Environmental, Land and Infrastructure Engineering, Politecnico di Torino, 10129, ItalyDept. of Environmental, Land and Infrastructure Engineering, Politecnico di Torino, 10129, ItalyFloods are causing a significant loss of human lives and valuable resources in West Africa. In particular, Niger and Burkina Faso were highly affected areas in past years. In order to predict flood, an accurate Digital elevation model (DEM) is required for flood mapping. At the studied area in Niger, up to this date, the LiDAR DEMs are scarcely available, and the only available DEMs are global DEMs like global SRTM DEMs with a resolution of 10m. These global DEMs are not accurate enough to be used for flood mapping. So, in this context, this study investigates the potential of multidate, multi-view stereo pairs PlanetScope images for the generation of DEM. Three DEMs were generated from images with slightly different view angles to see the effect of view angles of images on 3D modelling. One of the DEM generated by PlanetScope images was compared with DEM generated by high-resolution drone imagery and shows the normalized Median of Absolute Deviation (NMAD) of the elevation differences of 10m. Results show that planetScope images are useful assets for generating multiple DEMs due to their high temporal resolution. Such DEMs could be extremely useful for studying dynamic phenomena or monitoring disaster events like floods.https://isprs-archives.copernicus.org/articles/XLVIII-M-6-2025/9/2025/isprs-archives-XLVIII-M-6-2025-9-2025.pdf
spellingShingle M. Abraiz
E. Belcore
M. Piras
DEM Generation from Multi-View Satellite Images in Sub-Sahel Region
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
title DEM Generation from Multi-View Satellite Images in Sub-Sahel Region
title_full DEM Generation from Multi-View Satellite Images in Sub-Sahel Region
title_fullStr DEM Generation from Multi-View Satellite Images in Sub-Sahel Region
title_full_unstemmed DEM Generation from Multi-View Satellite Images in Sub-Sahel Region
title_short DEM Generation from Multi-View Satellite Images in Sub-Sahel Region
title_sort dem generation from multi view satellite images in sub sahel region
url https://isprs-archives.copernicus.org/articles/XLVIII-M-6-2025/9/2025/isprs-archives-XLVIII-M-6-2025-9-2025.pdf
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