Validation of Mainland Water Level Elevation Products From SWOT Satellite
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Open Access
- 30 July 2024
- journal article
- research article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- Vol. 17 (19391404) , 13494-13505
Abstract
The Surface Water and Ocean Topography (SWOT) satellite, carrying a Ka-band Radar Interferometer, is designed to detect global hydrological, ecological, and climatic changes through high-precision measurements of water elevation level and to promote the sustainable use and conservation of water resources. The accuracy of water level elevations of inland from SWOT was verified globally in this paper by comparing SWOT data with Hydroweb and G-REALM data, so as to better utilize the advanced global remote sensing observation capabilities of SWOT in hydrology. Through spatiotemporal matching validation, this experiment validates the SWOT data by time series within different regions, confirming that SWOT observations have an accuracy of more than 99% for inland lakes and rivers globally in eight geographic subregions. Compared with Hydroweb and G-REALM, SWOT's lake products have an MAE of less than 0.5 and 0.3 m, as well as an RMSE of less than 1.5 and 2 m, respectively. SWOT's data reduce the error in the measurement of the lake by more than 0.1 m compared with the priori data and improves the accuracy by more than 10%. As for river measurements, SWOT's global average measurement error is less than 0.15 m, with an RMSE of less than 1.5 m, providing highly accurate measurements for rivers in most regions of the world. Overall, the product of SWOT can provide high-precision heights of terrestrial water bodies, which is of great significance for small inland water body measurements, global water quantity monitoring, and water circulation research.Keywords
Funding Information
- National Natural Science Foundation of China (42171464)
- Key Research and Development Project of Hubei Province (2022BCA057)
- Fundamental Research Funds for the Central Universities (2042023kf0216, 2042024kf0034, 4106-413000028)
- Pre-research Project (D040107)
This publication has 42 references indexed in Scilit:
- Monitoring lake level changes in China using multi-altimeter data (2016–2019)Journal of Hydrology, 2020
- BAM: Bayesian AMHG‐Manning Inference of Discharge Using Remotely Sensed Stream Width, Slope, and HeightWater Resources Research, 2017
- Shifts in water-level variation of Namco in the central Tibetan Plateau from ICESat and CryoSat-2 altimetry and station observationsScience Bulletin, 2015
- Patterns of river width and surface area revealed by the satellite‐derived North American River Width data setGeophysical Research Letters, 2015
- A global inventory of lakes based on high-resolution satellite imageryGeophysical Research Letters, 2014
- Estimating water volume variations in lakes and reservoirs from four operational satellite altimetry databases and satellite imagery dataRemote Sensing of Environment, 2013
- Global river hydrography and network routing: baseline data and new approaches to study the world's large river systemsHydrological Processes, 2013
- ICESat derived elevation changes of Tibetan lakes between 2003 and 2009International Journal of Applied Earth Observation and Geoinformation, 2012
- Monitoring lake level changes on the Tibetan Plateau using ICESat altimetry data (2003–2009)Remote Sensing of Environment, 2011
- Water level monitoring using radar remote sensing data: Application to Lake Kivu, central AfricaPhysics and Chemistry of the Earth, Parts A/B/C, 2009