Details

Autor(en) / Beteiligte

• Xu, Nan
• Ma, Yue
• Zhou, Hui
• Zhang, Wenhao
• Zhang, Zhiyu
• Wang, Xiao Hua

Titel

A Method to Derive Bathymetry for Dynamic Water Bodies Using ICESat-2 and GSWD Data Sets

Ist Teil von

• IEEE geoscience and remote sensing letters, 2022, Vol.19, p.1-5

Ort / Verlag

Piscataway: IEEE

Erscheinungsjahr

2022

Quelle

IEEE

Beschreibungen/Notizen

• Detailed information on lake bathymetry is essential for both hydrology-related studies and water resource management. Conventionally, lake bathymetry was mapped using high-cost approaches (e.g., ship/boat-based multibeam echosounders or airborne bathymetric lidars). With only satellite remotely sensed data sets, a method for deriving high-resolution bathymetry for dynamic areas was proposed by combining the new Ice, Cloud, and land Elevation Satellite-2 (ICESat-2) lidar data and the Landsat-based Global Surface Water Data Set (GSWD). First, ICESat-2 can provide accurate along-track topographic points after the point cloud processing and bathymetric error correction, and the GSWD can supply water occurrence information within the lake dynamic area between 1984 and 2018. Second, using the derived relationship between the elevation and water occurrence, the bathymetric map of Lake Mead, USA, was produced with the dynamic area exceeding 235 km 2 , elevation ranging nearly 37 m, and a resolution of 30 m. The local reference data (i.e., the airborne topographic lidar data and ship/boat-based bathymetric data) in six areas around Lake Mead were used for the validations. In general, the produced lake bathymetry achieved an accuracy of approximately 2 m in elevation with <inline-formula> <tex-math notation="LaTeX">R^{2} </tex-math></inline-formula> of 0.97. The proposed method is promising to obtain global bathymetry for inland water bodies (e.g., the lake and reservoir) and coastal areas (e.g., the tidal zone) where water level fluctuations are strong and the water clarity is sufficient.