4.6 Article

Bathymetry of reservoirs using altimetric data associated to optical images

期刊

ADVANCES IN SPACE RESEARCH
卷 69, 期 11, 页码 4098-4110

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.asr.2022.03.011

关键词

Elevation-area-volume relationships; ICESat-2; Digital Terrain Model; 3D bathymetry

资金

  1. Universidade Federal de Pernambuco [07/2020]
  2. Servico Geologico do Brasil (CPRM)
  3. Institut de Recherche pour le Development (IRD)
  4. CNPq

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This study aimed to develop a method for bathymetric calculation using observed water level and ICESat-2 satellite terrain profile data. The results showed that this method is both economically viable and capable of generating high-resolution bathymetric data.
The semiarid region of Brazil is highly dependent on reservoirs, and precise bathymetric data are essential for understanding the dynamics and storage variability of these water bodies. This study aimed to develop the application of bathymetric calculation using the observed water level and ICESat-2 satellite terrain profile data of large and medium-sized reservoirs. The combination of satellite images with altimetric data allows for the extraction of water contours, whose points contain elevation information. A digital terrain model (DTM) was generated, and an elevation-area-volume (EAV) curve was calculated for two reservoirs in Northeast Brazil, Sobrad-inho and Poco da Cruz, which have capacities of 34.116 and 0.4837 km3, respectively. The water level from ICESat-2 was compared to that of the observed data from the Sobradinho, and DTM and EAV curves were analyzed for the two reservoirs. Using the water level from Sobradinho reservoir stations, this method covered 99% of the useful volume. The ICESat-2 data covered 50% of the storage capac-ity in the Sobradinho and 89% in Poco da Cruz. The in-situ and ICESat-2 data-based EAV curves showed volumes with Pearson's cor-relations equal to 0.99 for both reservoirs, and normalized root mean square errors of 2.62% and 4.13% for Sobradinho and Poco da Cruz, respectively. The results revealed that this strategy can be economic and viable, as it uses available free data with the potential to generate high-resolution bathymetry in reservoirs with different geometric characteristics. (c) 2022 COSPAR. Published by Elsevier B.V. All rights reserved.

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