基于改进型遥感生态指数探究赣州市生态环境质量及其与城镇化关系

Study on the relationship between ecological environment quality and urbanization in Ganzhou City based on improved remote sensing ecological index

生态环境质量变化及其与城镇化过程的关系是生态文明建设研究的重要内容之一.该文以江西省赣州市为研究区,利用Landsat系列遥感数据,基于Google Earth Engine平台,对其2001-2020年间三个时间节点生态环境质量、城镇化水平及耦合协调度的时空特征进行研究.在原有RSEI基础上,将绿度分量替换为归一化面积植被指数(NAVI),并加入生境分量(HQ),提出改进型遥感生态指数(N_RSEI),评价了研究区的生态环境质量.采用耦合协调度(CCD)模型得到生态环境质量与城镇化之间的CCD,并对CCD进行了空间自相关分析.研究表明:通过平均相关度检验等结果能证明所提出的N_RSEI可更客观准确地对赣州市生态环境质量进行评估;2001-2020年赣州市生态环境质量、城镇化水平、CCD均呈上升趋势,生态环境质量与CCD在空间上呈现出相似的“周高中低,南高北低”,且生态环境质量较差区域呈“三线一点”的分布特点;基于遥感数据的研究较县市尺度可提供更好的细节,能与其他同样是连续分布的因素进行综合分析,为生态环境的保护和可持续发展提供了科学支撑.

Ecological environment quality change and its relationship with urbanization process is one of the important research contents on ecological civilization construction.Taking Ganzhou City,Jiangxi Province,as the study area,the spatial and temporal characteristics of ecological environment quality,urbanization level and coupling coordination degree at three time nodes between 2001 and 2020 were analyzed using Landsat series remote sensing data based on Google Earth Engine platform.Based on the original RSEI,the greenness component was replaced by the normalized area vegetation index(NAVI),and the habitat quality component(HQ)was added to propose an improved remote sensing ecological index(N_RSEI),which evaluated the ecological environment quality of the study area.The coupling coordination degree(CCD)between ecological environment quality and urbanization was generated and analyzed by spatial autocorrelation analysis to evaluate the ecological environment quality of the study area.The results show that the proposed N_RSEI would more objectively and accurately assess the ecological environment quality of Ganzhou City through the average correlation test.The ecological environment quality,urbanization level and CCD of Ganzhou City exhibt an increasing trend from 2001 to 2020.The ecological environment quality and the CCD show a similar spatial pattern of“weekly high and medium-low,and southern high and northern low”,and the poor ecological environment quality area is characterized by the distribution of“three lines and one point”.The study based on the remote sensing data provides better details than the county and city scales,which are able to be comprehensively analyzed with the other factors that are also continuously distributed.It provides scientific support for ecological environmental protection and sustainable development.