GIS-Based Ecological Sensitivity Evaluation of Xiangxi Tujia and Miao Autonomous Prefecture in China
- DOI
- 10.2991/978-94-6463-516-4_20How to use a DOI?
- Keywords
- ecological sensitivity; comprehensive evaluation; Xiangxi Prefecture
- Abstract
Based on remote sensing images of Xiangxi Tujia and Miao Autonomous Prefecture in China, combining with field survey, socio-economic data, and the current situation of the unique ecological environment, an ecological sensitivity evaluation index system was established. With the utilization of analytic hierarchy process (AHP) and the support of GIS technology, an eco-sensitivity evaluation was performed in this study area. The results illustrated that the ecological sensitivity of Xiangxi Tujia and Miao Autonomous Prefecture was at a moderately sensitive level, with the highest sensitivity focused on the west-central part, which is closely related to the land use type, NDVI and water environment factors. This study helps to provide a basis for the functional classification of ecosystems, which can provide theoretical and technical support for the ecological environmental protection and economic development in Xiangxi Prefecture.
- Copyright
- © 2024 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Yimeng Wang AU - Hongjiao Qu AU - Luo Guo PY - 2024 DA - 2024/09/17 TI - GIS-Based Ecological Sensitivity Evaluation of Xiangxi Tujia and Miao Autonomous Prefecture in China BT - Proceedings of the 2024 5th International Conference on Urban Construction and Management Engineering (ICUCME 2024) PB - Atlantis Press SP - 168 EP - 174 SN - 2352-5401 UR - https://doi.org/10.2991/978-94-6463-516-4_20 DO - 10.2991/978-94-6463-516-4_20 ID - Wang2024 ER -