Comprehensive assessment of ecological environment sensitivity in Guangdong Province based on GIS

Hongbo Ge, Xiaolong Chen, Wenshuo Zhang, Wachio Lei

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Taking Guangdong as the research area, using 2022 Landsat remote sensing data and based on geographic information system (GIS) technology, five evaluation factors were selected: slope, aspect, elevation, water system and vegetation index, analyze the sensitivity of Guangdong’s ecological environment. The results show: Single-factor ecological sensitivity analysis shows that among the five evaluation factors, land use category and elevation are important factors that affect the degree of ecological vulnerability in Guangdong Province. The weights are: land use type (0.32), elevation (0.104). Comprehensive ecological sensitivity analysis shows that Guangdong has obvious differences in ecological sensitivity, with low-sensitivity areas accounting for the largest proportion, followed by sensitive areas. The extremely sensitive areas are mainly distributed in Heyuan and Meizhou; the sensitive areas are mainly distributed in Zhaoqing, Qingyuan and Shaoguan; the low-sensitive areas are mainly distributed in Zhanjiang, Maoming, Yangjiang, Jiangmen and Shanwei; the insensitive areas are mainly distributed in central Guangdong (Guangzhou, Foshan, Zhongshan, Dongguan, Shenzhen) and the eastern region (Chaozhou and Jieyang). The comprehensive evaluation results of the ecological environment sensitivity in Guangdong Province can provide relevant suggestions for regional ecological environment protection and construction.

Original languageEnglish
Title of host publicationSecond International Conference on Environmental Remote Sensing and Geographic Information Technology, ERSGIT 2023
EditorsJun Qin, Wenjin Yu
PublisherSPIE
ISBN (Electronic)9781510672949
DOIs
Publication statusPublished - 2024
Event2023 2nd International Conference on Environmental Remote Sensing and Geographic Information Technology, ERSGIT 2023 - Virtual, Online, China
Duration: 10 Nov 202312 Nov 2023

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume12988
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

Conference2023 2nd International Conference on Environmental Remote Sensing and Geographic Information Technology, ERSGIT 2023
Country/TerritoryChina
CityVirtual, Online
Period10/11/2312/11/23

Keywords

  • ecological environment sensitivity
  • Geographic information system
  • Guangdong Province
  • karst area

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