Paper
11 October 2023 Ecological sensitivity evaluation and ecological restoration of rocky desertification area based on GIS: a case study of Lingui District, Guilin City, Guangxi Province
Peixi Xie
Author Affiliations +
Proceedings Volume 12800, Sixth International Conference on Computer Information Science and Application Technology (CISAT 2023); 1280038 (2023) https://doi.org/10.1117/12.3004712
Event: 6th International Conference on Computer Information Science and Application Technology (CISAT 2023), 2023, Hangzhou, China
Abstract
The rocky desertification, as the number one ecological problem facing the southwestern region of our country, is the result of the extreme degradation of land in the karst area. The Lingui District of Guangxi Guilin City is listed in the 13th Five-Year Plan for the rocky desertification project. In order to explore the sensitivity of rocky desertification ecological fragile area to the development of ecological environment, taking the rocky desertification phenomenon in Lingui area as an example, based on DEM image, 2020 Landsat8 remote sensing image and the third land survey data, ENVI software, Arcgis software and GIS technology are used to divide the areas with high ecological constraints, high ecological constraints, moderate ecological constraints and low ecological constraints. This will help to analyze the constraints and influences of ecological environmental vulnerability caused by rocky desertification on spatial development, and provide reference for the ecological environment control, development and ecological restoration of rocky desertification area in Guangxi.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Peixi Xie "Ecological sensitivity evaluation and ecological restoration of rocky desertification area based on GIS: a case study of Lingui District, Guilin City, Guangxi Province", Proc. SPIE 12800, Sixth International Conference on Computer Information Science and Application Technology (CISAT 2023), 1280038 (11 October 2023); https://doi.org/10.1117/12.3004712
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KEYWORDS
Desertification

Vegetation

Data modeling

Agriculture

Geographic information systems

Environmental sensing

Remote sensing

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