SWOT satellite for global hydrological applications: accuracy assessment and insights into surface water dynamics

The Surface Water and Ocean Topography (SWOT) satellite, launched in December 2022, marks a significant breakthrough in hydrological monitoring. Equipped with a Ka-band radar interferometer, nadir altimeter, and radiometers, SWOT enables simultaneous measurements of water levels, widths, and slopes with unprecedented spatiotemporal resolution. This manuscript systematically reviews SWOT's satellite parameters, scientific missions, algorithm processes, and application products to provide a more comprehensive understanding of its capabilities. Validation with ICESat-2 and other reference datasets shows that SWOT’s WSE products achieve an accuracy of up to 0.18 m for inland water surface elevation measurements, thereby significantly improving the precision of water body monitoring. Additionally, SWOT demonstrates substantial potential in flood monitoring by capturing flood inundation dynamics with high spatiotemporal resolution, thereby enhancing rapid response and early warning capabilities. These advancements address critical limitations in existing satellite missions, improving global hydrological observation and supporting water resource management. SWOT’s data products offer essential insights into surface water dynamics, contributing to disaster mitigation and a better understanding of climate change impacts on water resources.

Authors

Institutions

Publication Details

Journal
International Journal of Digital Earth
Published
2025-03-05
DOI
https://doi.org/10.1080/17538947.2025.2472924
Citations
31
Primary Topic
Flood Risk Assessment and Management
Type
article
Field-Weighted Citation Impact
34.27

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

SWOT satellite for global hydrological applications: accuracy assessment and insights into surface water dynamics

Mengran Wang, Nan Xu, Yongqiang Cao, Jiaqi Yao et al.
31 citations
International Journal of Digital Earth
Flood Risk Assessment and Management
34.27
article

SWOT satellite for global hydrological applications: accuracy assessment and insights into surface water dynamics

Mengran Wang, Nan Xu, Yongqiang Cao, Jiaqi Yao, Xinming Tang, Fan Mo, Ying Liu, Hua Xin, Hui Lu, Huanyu Chang, Hao Xu, Haiying Gong
article en
31 citations

Abstract

The Surface Water and Ocean Topography (SWOT) satellite, launched in December 2022, marks a significant breakthrough in hydrological monitoring. Equipped with a Ka-band radar interferometer, nadir altimeter, and radiometers, SWOT enables simultaneous measurements of water levels, widths, and slopes with unprecedented spatiotemporal resolution. This manuscript systematically reviews SWOT's satellite parameters, scientific missions, algorithm processes, and application products to provide a more comprehensive understanding of its capabilities. Validation with ICESat-2 and other reference datasets shows that SWOT’s WSE products achieve an accuracy of up to 0.18 m for inland water surface elevation measurements, thereby significantly improving the precision of water body monitoring. Additionally, SWOT demonstrates substantial potential in flood monitoring by capturing flood inundation dynamics with high spatiotemporal resolution, thereby enhancing rapid response and early warning capabilities. These advancements address critical limitations in existing satellite missions, improving global hydrological observation and supporting water resource management. SWOT’s data products offer essential insights into surface water dynamics, contributing to disaster mitigation and a better understanding of climate change impacts on water resources.

International Journal of Digital EarthVol. 18(1)
Tianjin Normal University (CN), Hohai University (CN), Shenzhen University (CN), Ministry of Natural Resources (CN), China Centre for Resources Satellite Data and Application (CN), Chinese Academy of Surveying and Mapping (CN), Nanjing Surveying and Mapping Research Institute (China) (CN), Tsinghua University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Jiangsu Province, National Key Research and Development Program of China
Clean water and sanitation
Openalex Percentile: Top 0%
Flood Risk Assessment and Management
34.27
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.