Paper
9 December 2021 Analysis of land use/cover change in Guangdong-Hong Kong-Macao greater bay area from 1979 to 2016
Yanling Chu, Cuicui Tian, Qian Zhang, Wei He, Yongzheng Chen
Author Affiliations +
Proceedings Volume 12129, International Conference on Environmental Remote Sensing and Big Data (ERSBD 2021); 121290D (2021) https://doi.org/10.1117/12.2625678
Event: 2021 International Conference on Environmental Remote Sensing and Big Data, 2021, Wuhan, China
Abstract
This study investigated the dynamic changes of land use/cover in Guangdong-Hong Kong-Macao Greater Bay Area (GBA) from 1979 to 2016 by using transfer matrix method combined with remote sensing and GIS. The results show that during this period, Farmland reduced 19744.27 km2 with a drop of 81%, 6147.76 km2 of which had been designated for industrial land. The land use changed variously among the districts in the GBA, and the comprehensive dynamic index of land use of Zhongshan city was the highest; and that of Huizhou city was the lowest. Social and economic factors such as population, economy, transportation and policy all have an important impact on the land use pattern and its changes in the GBA.
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Yanling Chu, Cuicui Tian, Qian Zhang, Wei He, and Yongzheng Chen "Analysis of land use/cover change in Guangdong-Hong Kong-Macao greater bay area from 1979 to 2016", Proc. SPIE 12129, International Conference on Environmental Remote Sensing and Big Data (ERSBD 2021), 121290D (9 December 2021); https://doi.org/10.1117/12.2625678
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KEYWORDS
Remote sensing

Earth observing sensors

Landsat

Data centers

Image classification

Environmental sensing

Geography

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