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.
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.
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