首页|基于Landsat 8的漓江流域生态环境质量及其影响因素分析

基于Landsat 8的漓江流域生态环境质量及其影响因素分析

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漓江流域生态环境质量时空变化及其影响因素的精准评价对桂林国际旅游胜地与国家可持续发展议程创新示范区建设具有重要的现实意义.通过谷歌地球引擎(Google Earth Engine,GEE),融合Landsat 8遥感影像构建遥感生态指数(re-mote sensing ecological index,RSEI),探讨自2012年桂林国际旅游胜地建设以来漓江流域生态环境质量的时空变化格局及其主要影响因素.结果表明:漓江流域生态环境质量呈现上升趋势且总体处于中上等水平,其中,流域林地和草地生态环境质量等级主要为优和良,而建设用地和耕地等区域主要为差和较差;流域的生态环境质量具有较强的空间自相关性,呈聚集性分布格局,主要表现为高-高聚类、低-低聚类和不显著聚类;绿度和湿度指标对RSEI指数有正向影响,而干度和热度指标则为反向影响;由人为因素引起的流域土地利用和植被覆盖度变化对漓江流域生态环境质量的影响要远远大于自然因素.在国际旅游胜地建设过程中,要坚持生态保护优先发展战略,注重保护和恢复漓江流域的生态环境,以促进桂林市国家可持续发展议程创新示范区建设.
Analysis of Ecological Environment Quality and Its Influencing Factors of the Lijiang River Basin Based on Landsat 8
In order to analyze the spatio-temporal changes in ecological environment quality and its influencing factors of the Lijiang River basin,the remote sensing ecological index(RSEI)was constructed by using Landsat 8 OLI/TIRS imagery based on Google Earth Engine(GEE).The results show that the ecological environment quality is generally above the average of the Lijiang River basin.The ecological environment quality of woodland is at the excellent level,and the grassland is good,whereas that of the construction land and cultivated land is found to be poor of the Lijiang River Basin.The ecological environment quality of the Lijiang River basin is exhibited a strong spatial auto-correlation with a clustered distribution pattern,and mainly manifested as high-high,low-low,and insignificant clustering.The ecological environment quality of the Lijiang River Basin is positively impacted by greenness and humidity,and negatively impacted by dryness and heat.The impact of land use and cover change is far greater than that of natural factors(i.e.,precipitation)on the ecological environment quality of the Lijiang River Basin.It is concluded that the ecological environment quality and its protection of the Lijiang River basin is contributed a significant role in achieving regional sustainable development goals in Guilin.

remote sensing ecological indexGoogle earth engine(GEE)principal component analysis(PCA)geodetectorLijiang River basin

倪春雨、何文、姚月锋

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桂林理工大学测绘地理信息学院,桂林 541006

广西壮族自治区中国科学院广西植物研究所,桂林 541006

广西喀斯特植物保育与恢复生态学重点实验室,桂林 541006

遥感生态指数 谷歌地球引擎(GEE) 主成分分析(PCA) 地理探测器 漓江流域

广西壮族自治区重点研发计划国家自然科学基金

桂科AB2203506032060369

2024

科学技术与工程
中国技术经济学会

科学技术与工程

CSTPCD北大核心
影响因子:0.338
ISSN:1671-1815
年,卷(期):2024.24(12)
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