Analysis of coastline changes and influencing factors for the Macao Special Administrative Region based on Neural Network Algorithms

Xiaofang Jiang; Feijian Yin

doi:10.1007/s13131-024-2437-1

Volume 43 Issue 11

Nov. 2024

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Xiaofang Jiang, Feijian Yin. Analysis of coastline changes and influencing factors for the Macao Special Administrative Region based on Neural Network Algorithms[J]. Acta Oceanologica Sinica, 2024, 43(11): 118-130. doi: 10.1007/s13131-024-2437-1

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Xiaofang Jiang, Feijian Yin. Analysis of coastline changes and influencing factors for the Macao Special Administrative Region based on Neural Network Algorithms[J]. Acta Oceanologica Sinica, 2024, 43(11): 118-130. doi: 10.1007/s13131-024-2437-1

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Analysis of coastline changes and influencing factors for the Macao Special Administrative Region based on Neural Network Algorithms

doi: 10.1007/s13131-024-2437-1

Xiaofang Jiang^{1, 2, 3, 4
,
,},
Feijian Yin⁵

1.
School of Geographical Sciences, Qinghai Normal University, Xining 810016, China
2.
Key Laboratory of Tibetan Plateau Land Surface Processes and Ecological Conservation (Ministry of Education), Qinghai Normal University, Xining 810016, China
3.
Qinghai Provincial Key Laboratory of Physical Geography and Environmental Process/College of Geographical Science, Qinghai Normal University, Xining 810016, China
4.
Academy of Plateau Science and Sustainability, People’s Government of Qinghai Province and Beijing Normal University, Xining 810016, China
5.
Third Institute of Oceanography, Ministry of Natural Resources, Xiamen 361005, China

More Information

Corresponding author: E-mail: 1695090635@qq.com
Received Date: 2024-04-25
Accepted Date: 2024-06-24

Available Online: 2024-11-27

Publish Date: 2024-11-25

Abstract

Abstract

The Macao Special Administrative Region is located in the southeastern coastal area of China. The region of Macao was narrow in the history, so land reclamation has become a main means of expanding its geographical scope. Exploring the significance of land reclamation for the planning and urban construction of the Macao region provides valuable references. (1) The Google Earth Engine (GEE) cloud processing platform is used in this study to calculate the modified normalized difference water index (MNDWI) based on Landsat data from 1986 to 2021; (2) the Jenks natural index classification method is used to extract the water body range, and the water body boundary as well as area at different periods is calculated combined with the neural network classification method in the environment for visualizing images (ENVI) software; (3) this study then combines the patch-generating land use simulation (PLUS) model to predict the future trend of shoreline changes in the study area in 2036. The result indicates that the MNDWI and neural net classification method lead to a high classification accuracy with both the overall accuracy (OA) and Kappa coefficient being higher than 87%. Land reclamation activities in Macao were gradually intense from 1986 to 2021, with social and economic conditions such as transportation being main influencing factors, which provides valuable references and inspiration for the regional planning of the Macao Special Administrative Region.
- Macao Special Administrative Region,
- Google Earth Engine,
- reclamation of land from the sea,
- water body index,
- water boundary

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