Ecological Sensitivity Analysis of the Jiulian Mountain Scenic Area Based on Multi-Source DEM Remote Sensing Data

Bowen Chen, Xiaolong Chen, UN IN WONG, Hongfeng Zhang, Wenshuo Zhang, Jinghui Zhan

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

Abstract

In order to study the ecological sensitivity of the jiulian mountain scenic area and provide a basis for promoting the development and implementation of ecological planning in this region, we assessed the current state of the local environment. This article takes the Jiulian Mountain Scenic Spot in Hui County, Xinxiang City, Henan Province, as the research object and selects altitude, slope, aspect, water body, land use type, and vegetation coverage. 6 Each ecological factor is used as an ecological sensitivity evaluation index, which is divided into four evaluation levels: insensitive, mildly sensitive, moderately sensitive, and highly sensitive. The analytic hierarchy process is used to determine the weight, and the spatial distribution of single-factor and multi-factor ecological sensitivity is analyzed through GIS spatial analysis technology and multi-source DEM remote sensing data. The results show that the overall ecological sensitivity of the jiulian mountain scenic area is high. The highly sensitive area accounts for 28.52% of the total area; the medium sensitive area accounts for 26.25% of the total area; the low sensitivity area accounts for 21.51% of the total area, distributed in the northwest of the scenic spot; and the insensitive area accounts for 18.48% of the total area, evenly distributed in scenic spots. Finally, in light of the current conditions in the jiulian mountain scenic area, I propose targeted recommendations and strategies for the various sensitive regions. My goal is to advance ecological planning practices and sustainable development across the Jiulian Mountain region.

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

  • DEM remote sensing data
  • Jiulian Mountain
  • analytic hierarchy process
  • ecological sensitivity
  • scenic area

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