基于遥感生态指数模型对雄安新区近十年生态环境评估
Ecological Environment Assessment of Xiong’an New Area in the Past Decade Based on the Remote Sensing Ecological Index Model
DOI: 10.12677/gser.2025.145094, PDF,   
作者: 吴 可, 朱芮漪:自然资源部第四航测遥感院,海南 海口;彭锦珍:海南天涯人力资源管理服务有限公司,海南 海口
关键词: 雄安新区遥感生态指数(RSEI)时空变化主成分分析Xiong’an New Area Remote Sensing Ecological Index (RSEI) Spatiotemporal Change Principal Component Analysis
摘要: 本文以雄安新区为研究对象,基于2014年、2017年、2020年和2024年四个时期的Landsat-8 OLI遥感影像,综合运用遥感与地理信息系统空间分析技术,借助ENVI平台提取湿度(Wet)、绿度(NDVI)、干度(NDSI)和热度(LST)四个生态指标,并采用主成分分析法耦合构建遥感生态指数(RSEI),对雄安新区的生态环境质量进行动态监测与时空变化分析。研究结果表明,新区生态环境质量整体良好,但仍应持续加强生态建设,尤其需进一步扩大绿化覆盖规模,以推动生态环境保护与经济社会的协同发展。本研究可为雄安新区生态规划的制定与可持续发展策略的实施提供科学依据和决策参考。
Abstract: Taking Xiong’an New Area as the research object, this study uses Landsat-8 OLI remote sensing images from four periods (2014, 2017, 2020, and 2024) as the data basis. It comprehensively applies remote sensing and geographic information system (GIS) spatial analysis technologies, extracts four ecological indicators—wetness (Wet), greenness (NDVI), dryness (NDSI), and heat (LST)—with the help of the ENVI platform, and constructs the Remote Sensing Ecological Index (RSEI) through coupling using principal component analysis (PCA). On this basis, dynamic monitoring and spatiotemporal change analysis of the ecological environment quality in Xiong’an New Area are conducted. The results show that the overall ecological environment quality of the New Area is good; however, continuous efforts should still be made to strengthen ecological construction, particularly to further expand the scale of green coverage, so as to promote the coordinated development of ecological environment protection and economic society. This study can provide a scientific basis and decision-making reference for the formulation of ecological planning and the implementation of sustainable development strategies in Xiong’an New Area.
文章引用:吴可, 彭锦珍, 朱芮漪. 基于遥感生态指数模型对雄安新区近十年生态环境评估[J]. 地理科学研究, 2025, 14(5): 974-982. https://doi.org/10.12677/gser.2025.145094

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