Monitoring water surface elevation dynamics in the Brazilian Pantanal wetland using radar altimetry

With its complex hydrological dynamics and high diversity of habitats, the Pantanal, a large South American wetland, is increasingly threatened by anthropogenic activities and climate change. In such vulnerable ecosystems, radar altimetry is a key source of Water Surface Elevation (WSE) measurements and, thus, fundamental for monitoring these often remote and poorly gauged environments. This study assesses the potential of the Sentinel-3 and Sentinel-6 missions to monitor hydrological dynamics in the Brazilian Pantanal (May 2016 to March 2024). We first evaluated the agreement between radar altimetry and in situ WSE and then demonstrated the contribution of these data to characterizing three distinct hydrological features across this large tropical wetland. Our results showed strong agreement between altimetry and in situ water levels, with correlation coefficients (R) greater than 0.85 and Root Mean Square Errors (RMSE) below 0.4 m in most cases. Using this extensive radar altimetry network, we demonstrated backwater flooding on the Miranda River, which experiences two annual flood cycles driven by local precipitation and the Paraguay River’s flood pulse. This dynamic was disrupted by recent megadroughts. We also detected significant WSE declines in the shallow lakes of the Nhecolândia region, directly linked to the megadroughts, and revealed along-channel variations in seasonal water level patterns across the ungauged Taquari megafan, a distributive fluvial system likely subject to the combined pressures of upland agriculture and climatic extremes. These findings underscore the high potential of radar altimetry for monitoring and understanding complex hydrologic dynamics in vulnerable ecosystems like the Pantanal. • Radar altimetry water surface elevation (RA-WSE) is assessed in the Pantanal wetland. • Sentinel-3 and -6 WSE estimates are higly correlated with in situ records (R > 0.85). • RA-WSE reveals backwater flooding dynamics within the Paraguay River system. • RA-WSE tracks persistent lake-level decline in Nhecolândia region after megadroughts. • RA-WSE enables monitoring of hydrological dynamics in the ungauged Taquari megafan.

Authors

Institutions

Publication Details

Journal
Remote Sensing Applications Society and Environment
Published
2025-11-01
DOI
https://doi.org/10.1016/j.rsase.2025.101805
Citations
1
Primary Topic
Flood Risk Assessment and Management
Type
article
Field-Weighted Citation Impact
1.11
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Monitoring water surface elevation dynamics in the Brazilian Pantanal wetland using radar altimetry

Damien Arvor, Sly Wongchuig, Samuel Corgne, Frederico Santos Gradella et al.
1 citations
Remote Sensing Applications Society and Environment
Flood Risk Assessment and Management
1.11
article

Monitoring water surface elevation dynamics in the Brazilian Pantanal wetland using radar altimetry

Damien Arvor, Sly Wongchuig, Samuel Corgne, Frederico Santos Gradella, Mauro Henrique Soares da Silva, Vitor Matheus Bacani, Carolina Joana da Silva, Félix Girard, Manuela Grippa, Uelison Mateus Ribeiro
article en
1 citations

Abstract

With its complex hydrological dynamics and high diversity of habitats, the Pantanal, a large South American wetland, is increasingly threatened by anthropogenic activities and climate change. In such vulnerable ecosystems, radar altimetry is a key source of Water Surface Elevation (WSE) measurements and, thus, fundamental for monitoring these often remote and poorly gauged environments. This study assesses the potential of the Sentinel-3 and Sentinel-6 missions to monitor hydrological dynamics in the Brazilian Pantanal (May 2016 to March 2024). We first evaluated the agreement between radar altimetry and in situ WSE and then demonstrated the contribution of these data to characterizing three distinct hydrological features across this large tropical wetland. Our results showed strong agreement between altimetry and in situ water levels, with correlation coefficients (R) greater than 0.85 and Root Mean Square Errors (RMSE) below 0.4 m in most cases. Using this extensive radar altimetry network, we demonstrated backwater flooding on the Miranda River, which experiences two annual flood cycles driven by local precipitation and the Paraguay River’s flood pulse. This dynamic was disrupted by recent megadroughts. We also detected significant WSE declines in the shallow lakes of the Nhecolândia region, directly linked to the megadroughts, and revealed along-channel variations in seasonal water level patterns across the ungauged Taquari megafan, a distributive fluvial system likely subject to the combined pressures of upland agriculture and climatic extremes. These findings underscore the high potential of radar altimetry for monitoring and understanding complex hydrologic dynamics in vulnerable ecosystems like the Pantanal. • Radar altimetry water surface elevation (RA-WSE) is assessed in the Pantanal wetland. • Sentinel-3 and -6 WSE estimates are higly correlated with in situ records (R > 0.85). • RA-WSE reveals backwater flooding dynamics within the Paraguay River system. • RA-WSE tracks persistent lake-level decline in Nhecolândia region after megadroughts. • RA-WSE enables monitoring of hydrological dynamics in the ungauged Taquari megafan.

Remote Sensing Applications Society and EnvironmentVol. 40
Universidade Federal de Mato Grosso do Sul (BR), Centre National de la Recherche Scientifique (FR), Université de Bretagne Occidentale (FR), Universidade do Estado de Mato Grosso (BR), Université Rennes 2 (FR), Laboratoire d’Études en Géophysique et Océanographie Spatiales (FR), Géosciences Environnement Toulouse (FR), Institut de Recherche pour le Développement (FR), Université de Rennes (FR), French Institute of Pondicherry (IN)
Openalex Percentile: Top 17%
Flood Risk Assessment and Management
1.11
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.