GEMAUT : Un Outil pour Générer Automatiquement des Modèles Numériques de Terrain Haute Résolution à partir de Modèles Numériques de Surface satellitaires
DOI:
https://doi.org/10.52638/rfpt.2026.739Keywords:
Digital Terrain Model, Digital Surface Model, Satellite, Optimisation, Open Source, Automatic Quality AssessmentAbstract
GEMAUT is a robust and open source tool for automatically generating Digital Terrain Models (DTMs) from high-resolution
satellite Digital Surface Models (DSMs). It performs fully automatic ground extraction - using either the SAGA slope-based filter
or the PDAL Cloth Simulation Filter - and reconstructs the terrain through a robust energy-based optimization scheme, without
requiring any external ground mask. A key contribution of this paper is the automatic quality-assessment module that derives
a spatialized estimate of relative vertical uncertainty from local DSM-DTM elevation differences, enabling reliable quality control
in operational workflows. GEMAUT has been entirely refactored using open-source libraries and publicly released on GitHub
to promote transparency, reproducibility, and collaboration within the SFPT community.
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Copyright (c) 2026 Nicolas Champion

This work is licensed under a Creative Commons Attribution 4.0 International License.