刊名 |
Meteorological and Environmental Research |
作者 |
Denghong HUANG1,2*, Zhiying ZHANG1, Zhenzhen ZHANG1,2 |
作者单位 |
1. School of Karst Science/School of Geography & Environmental Science, Guizhou Normal University, Guiyang 550025, China; 2. State Engineering Technology Institute for Karst Desertification Control, Guiyang 550025, China |
DOI |
10.19547/j.issn2152-3940.2024.02.005 |
年份 |
2024 |
刊期 |
2 |
页码 |
22-28 |
关键词 |
Ecological quality; Remote sensing ecological index; Karst mountainous area; Ecological fragility; Guanling Autonomous County |
摘要 |
Fast and effective remote sensing monitoring is an important means for analyzing the spatio-temporal changes in ecological quality in fragile karst regions. This study focuses on Guanling Autonomous County, a national-level demonstration county for comprehensive desertification control. Based on Landsat TM/OLI remote sensing image data from 2005, 2010, 2015, and 2020, remote sensing ecological indices were used to analyze the spatio-temporal changes in ecological quality in Guanling Autonomous County from 2005 to 2020. The results show that: ① the variance contribution rates of the first principal component for the four periods were 66.31%, 71.59%, 63.18%, and 75.24%, indicating that PC1 integrated most of the characteristics of the four indices, making the RSEI suitable for evaluating ecological quality in karst mountain areas; ② the remote sensing ecological index grades have been increasing year by year, with an overall trend of improving ecological quality. The area of higher-grade ecological quality has increased spatially, while fragmented patches have gradually decreased, becoming more concentrated in the low-altitude areas in the northwest and east, and there is a trend of expansion towards higher-altitude areas; ③ the ecological environment quality in most areas has improved, with the improvement in RSEI spatio-temporal variation becoming more noticeable with increasing slope. Areas of higher-grade quality appeared in 2010, and the range of higher-grade quality expanded with increasing slope. |