The evolution characteristics of lakes in the Guangdong-Hong Kong-Macao greater Bay Area based on landsat data

Jiangbo Wang; Yufan Wu; Tao Chen; Aipng Gou

doi:10.1117/12.3020853

19 January 2024 The evolution characteristics of lakes in the Guangdong-Hong Kong-Macao greater Bay Area based on landsat data

Jiangbo Wang, Yufan Wu, Tao Chen, Aipng Gou

Author Affiliations +

Proceedings Volume 12980, Fifth International Conference on Geoscience and Remote Sensing Mapping (ICGRSM 2023); 129800Q (2024) https://doi.org/10.1117/12.3020853
Event: Fifth International Conference on Geoscience and Remote Sensing Mapping (ICGRSM 2023), 2023, Lianyungang, China

Abstract

Lakes are an important component of national resources and an important driver of sustainable urban development. This paper selects lakes within the Guangdong-Hong Kong-Macao Greater Bay Area (GBA) as the research object, uses Landsat remote sensing data as the data source, and extracts lake data for a total of eight periods from 1986 to 2021 by combining the Modified Normalized Difference Water Index (MNDWI) model with manual visual interpretation. Conclusions are as follows: 1) The overall scale of the lakes in GBA during the study period shows a process of "Decline-Increase-Rise Fluctuating-Decline rapidly"; 2) The morphology of the lakes is generally stable, but there is a trend of gradual regularisation; 3) The centroid of the centre of mass of the lakes shows an obvious trend of shifting towards the northeast.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Jiangbo Wang, Yufan Wu, Tao Chen, and Aipng Gou "The evolution characteristics of lakes in the Guangdong-Hong Kong-Macao greater Bay Area based on landsat data", Proc. SPIE 12980, Fifth International Conference on Geoscience and Remote Sensing Mapping (ICGRSM 2023), 129800Q (19 January 2024); https://doi.org/10.1117/12.3020853

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