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15 November 2023 Dynamic monitoring and evolution analysis of wetland in Guangdong-Hong Kong-Macao Greater Bay area from 2005 to 2020
Anjun Lou, Zhi He, Guanglin Lai, Liwei Zou, Man Xiao, Chengle Zhou
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Proceedings Volume 12815, International Conference on Remote Sensing, Mapping, and Geographic Systems (RSMG 2023); 1281516 (2023) https://doi.org/10.1117/12.3011108
Event: International Conference on Remote Sensing, Mapping, and Geographic Systems (RSMG 2023), 2023, Kaifeng, China
Abstract
The Guangdong-Hong Kong-Macao Greater Bay Area (GBA) encompasses diverse and widespread wetlands, which have undergone significant changes in recent years due to various anthropogenic and natural factors. This paper investigated the dynamic changes of diverse wetlands in GBA from 2005-2020 using the Google Earth Engine (GEE). By integrating suitability atlas, the CA-Markov model was employed to predict wetland evolution in GBA. Findings revealed rapid urbanization between 2005-2015 led to swift degradation of natural wetlands. Conversely, from 2015- 2020, there was a recovery trend in natural wetlands, despite the emergence of new urban areas. By 2025, predictions suggest further recovery of natural wetlands, reduction in farmland and paddy fields, and continued urban expansion.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Anjun Lou, Zhi He, Guanglin Lai, Liwei Zou, Man Xiao, and Chengle Zhou "Dynamic monitoring and evolution analysis of wetland in Guangdong-Hong Kong-Macao Greater Bay area from 2005 to 2020", Proc. SPIE 12815, International Conference on Remote Sensing, Mapping, and Geographic Systems (RSMG 2023), 1281516 (15 November 2023); https://doi.org/10.1117/12.3011108
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KEYWORDS
Landsat
Random forests
Analytical research
Ecosystems
Image classification
Remote sensing
Time series analysis
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