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Remote Sensing Information Extraction and Dynamic Change Analysis of Leizhou Peninsula Coastline

Published:25 February 2023Publication History

ABSTRACT

With the rapid expansion of the scale of urbanization and the rapid economic and social development of coastal areas, the use changes of the coastline and coastal areas of the Leizhou Peninsula is increasing. Employing envi5.1 and arcgis10.2 tools, the normalized difference water index (NDWI) was used to process the image, and the water and land separation was carried out according to the threshold segmentation method. The data of the coastline in 2001, 2008, 2015 and 2020 were extracted from the interpretation of the remote sensing image maps, and the results of the automatic computer interpretation were examined using the fixed-sample visual interpretation method to analyze the coastline dynamics of the Leizhou Peninsula in the past 20 years. The results showed that: (1) From 2001 to 2020, the total length of the coastline of Leizhou Peninsula showed an increasing trend, a total increase of 95.98km, and annual variation was 4.80km; (2) From 2001 to 2008, the coastline increased the most, with an increase of 44.25km; from 2008 to 2015, the increase of the coastline was smaller, with an increase of 18.69km; from 2015 to 2020, the coastline increased by 33.04km; (3) The areas with large changes in coastline length were Xuwen county, Leizhou city, and Potou district, which increased by 38.29km, 34.21km, and 18.86km respectively; (4) The areas with the most complex coastline changes were mainly concentrated in Potou district, Xuwen county, Leizhou city and Suixi county for economic development, tourism development, marine aquaculture and other areas. In this regard, it was proposed to strengthen the basic dynamic information monitoring of the coastline, carry out the repair and survey of the coastline in a timely manner, grasp the utilization information of the coastline, and implement the task of protecting the coastline resources.

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      ICAIP '22: Proceedings of the 6th International Conference on Advances in Image Processing
      November 2022
      202 pages
      ISBN:9781450397155
      DOI:10.1145/3577117

      Copyright © 2022 ACM

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      Publication History

      • Published: 25 February 2023

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