Paper
24 November 2021 Analysis of groundwater system characteristic in the Badain Jaran desert and its causes based on GF-2 satellite remote sensing data
Author Affiliations +
Proceedings Volume 12065, AOPC 2021: Optical Sensing and Imaging Technology; 1206528 (2021) https://doi.org/10.1117/12.2606221
Event: Applied Optics and Photonics China 2021, 2021, Beijing, China
Abstract
Remote sensing, as a rapid and large-scale investigation and monitoring technology, widely used in the study of lake evolution and dynamic changes. In general, the evolution of lakes in the arid area is obviously controlled by the distribution of groundwater system. Based on high-resolution satellite data, this paper obtains, the elevations and boundaries of 124 lakes in a long time series in the Badain Jaran Desert region, and summarizes the pattern of, lake evolution and shrinkage. Besides, the division of the groundwater system in this region has been achieved, by estimating the water volume changes in the two periods, and the analysis of the regional geological structure characteristics. The application results show that over the years, the average elevation of the lake has decreased by 8.79m, the cumulative shrinkage of areas have reached 64.81 km2, and the total volume of lakes has been reduced by 465 million m3. The spatial differentiation characteristics of the shrinking lakes are obvious, and the difference in the extent of lake shrinkage is significantly controlled by the regional tectonic basement, which indicates that the regional groundwater system may have a local nested structure. Based on remote sensing method, the groundwater system in Badain Jaran Desert is divided into two primary units in the north and south, and four secondary units in the south.
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He Peng, Chen Hong, and Li Yichuan "Analysis of groundwater system characteristic in the Badain Jaran desert and its causes based on GF-2 satellite remote sensing data", Proc. SPIE 12065, AOPC 2021: Optical Sensing and Imaging Technology, 1206528 (24 November 2021); https://doi.org/10.1117/12.2606221
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KEYWORDS
Remote sensing

Satellites

Vegetation

Climatology

Image fusion

Near infrared

Satellite imaging

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