Investigating Pléiades imagery for high-resolution topographic analysis in alpine headwater zones

Accurate topographic modeling in steep alpine environments is critical for understanding and monitoring geomorphological processes such as landslides and debris flows. While very high-resolution (VHR) satellite imagery has been widely applied in glaciated regions, its potential for non-glaciated alpine headwater catchments remains underexplored. This study evaluates Pléiades tri-stereo imagery for generating high-resolution Digital Surface Models (DSMs) over two high-relief Alpine catchments. Using the Ames Stereo Pipeline, 27 DSMs are produced from varying stereo pairings, dense-matching algorithms, and kernel sizes. Comparison with airborne LiDAR shows that DSM accuracy is strongly dependent on processing configuration, with the optimized workflow achieving a vertical accuracy of 0.06 ± 0.34m. These results highlight the capability of Pléiades DSMs, when optimally processed, to support hazard mapping and sediment monitoring in complex mountain terrain.

Institutions

Publication Details

Published
2025-09-12
DOI
https://doi.org/10.1117/12.3068981
Primary Topic
Legume Nitrogen Fixing Symbiosis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Investigating Pléiades imagery for high-resolution topographic analysis in alpine headwater zones

Legume Nitrogen Fixing Symbiosis
article

Investigating Pléiades imagery for high-resolution topographic analysis in alpine headwater zones

article en

Abstract

Accurate topographic modeling in steep alpine environments is critical for understanding and monitoring geomorphological processes such as landslides and debris flows. While very high-resolution (VHR) satellite imagery has been widely applied in glaciated regions, its potential for non-glaciated alpine headwater catchments remains underexplored. This study evaluates Pléiades tri-stereo imagery for generating high-resolution Digital Surface Models (DSMs) over two high-relief Alpine catchments. Using the Ames Stereo Pipeline, 27 DSMs are produced from varying stereo pairings, dense-matching algorithms, and kernel sizes. Comparison with airborne LiDAR shows that DSM accuracy is strongly dependent on processing configuration, with the optimized workflow achieving a vertical accuracy of 0.06 ± 0.34m. These results highlight the capability of Pléiades DSMs, when optimally processed, to support hazard mapping and sediment monitoring in complex mountain terrain.

Institut polytechnique de Grenoble (FR), Centre National de la Recherche Scientifique (FR), An-Najah National University (PS), Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement (FR), Institut des Géosciences de l'Environnement (FR), Institut de Recherche pour le Développement (FR), Université Grenoble Alpes (FR)
Openalex Percentile: Top 33%
Legume Nitrogen Fixing Symbiosis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Investigating Pléiades imagery for high-resolution topographic analysis in alpine headwater zones · (2025) | TGRS Research Map | TGRS