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

Bowen Chen, Xiaolong Chen, Cora Un In Wong, Hongfeng Zhang, Wenshuo Zhang, Jinghui Zhan

研究成果: Conference contribution同行評審

摘要

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.

原文English
主出版物標題Second International Conference on Environmental Remote Sensing and Geographic Information Technology, ERSGIT 2023
編輯Jun Qin, Wenjin Yu
發行者SPIE
ISBN(電子)9781510672949
DOIs
出版狀態Published - 2024
事件2023 2nd International Conference on Environmental Remote Sensing and Geographic Information Technology, ERSGIT 2023 - Virtual, Online, China
持續時間: 10 11月 202312 11月 2023

出版系列

名字Proceedings of SPIE - The International Society for Optical Engineering
12988
ISSN(列印)0277-786X
ISSN(電子)1996-756X

Conference

Conference2023 2nd International Conference on Environmental Remote Sensing and Geographic Information Technology, ERSGIT 2023
國家/地區China
城市Virtual, Online
期間10/11/2312/11/23

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