摘要
[目的]利用遥感技术及时、动态、客观地监测和评估城市生态环境质量变化,为城市生态环境规划与管理提供参考。[方法]以南宁市为案例,利用Google Earth Engine(GEE)平台对2000—2020年Landsat系列遥感影像进行像元级融合、消除色彩、去云等预处理,计算绿度、湿度、干度和热度这4个遥感指标,并采用主成分分析法构建遥感生态指数,定量评价南宁市生态环境质量动态变化及空间分异特征。[结果]南宁市RSEI多年平均值为0.615,总体呈现“下降—上升—稳定”的波动上升趋好的态势。生态环境质量较好的区域主要是自然保护区、山林地、草地和水域,生态环境质量较差的区域则集中于人类活动频繁,土地利用强度较大的城镇及城乡交错区、农耕区。生态环境质量与植被绿度和湿度指标呈正相关,与干度和热度指标呈负相关,且干度指标因子对RSEI影响程度最大。[结论]南宁市2000—2020年生态环境质量总体处于良好水平且呈上升态势。结合GEE和RSEI指数能够较好地反映城市生态环境质量,为城市生态环境质量长时间序列监测提供计算平台。
[Objective]Remote sensing technology is used to monitor and evaluate the change of urban ecological environment quality timely,dynamically and objectively,in order to provide reference for urban ecological environment planning and management.[Methods]Landsat TM/ETM+/OLS historical images of the same season from^(2)000 to 2020 were collected.The Google Earth Engine(GEE)platform was used to perform pixel-level cloud removal and chromatic aberration correction.The median value composite was used to calculate four remote sensing indicators including greenness,wetness,dryness,and heat.The remote sensing ecological index(RSEI)was constructed by principal component analysis(PCA)to evaluate the dynamic changes and spatial differentiation characteristics of urban ecological environmental quality in Nanning City with the help of the parallel cloud computing ability in GEE.[Results]The average value of RSEI was 0.615 in Nanning City,and its ecological environmental quality was observed to follow an overall fluctuating upward trend of“decreasing-increasing-stable”.The spatial heterogeneity of ecological environmental quality in Nanning City was obvious.The areas with better ecological environmental quality were mainly concentrated in the nature reserves,forest lands,grasslands and water areas,while the degraded areas of ecological environmental quality were mainly located in the cities,urban-rural transition zones and farming areas with frequent human activities and greater land use intensity.RSEI was positively correlated with greenness and wetness indicators,and negatively correlated with dryness and heat,and dryness index factor had the greatest influence on RSEI.[Conclusion]The ecological environmental quality of Nanning City was well characterized by RSEI,and the overall ecological environmental quality was at a good level from^(2)000 to 2020.The combination of GEE and RSEI could effectively improve the use of remote sensing images,and therefore could be used for long-term monitoring and assessing of ecological environmental quality in the urban region.
作者
刘秋华
谢余初
覃宇恬
张宇
杨坤士
Liu Qiuhua;Xie Yuchu;Qin Yutian;Zhang Yu;Yang Kunshi(Key Laboratory of Environment Change and Resources Use in Beibu Gulf(Ministry of Education),Nanning Normal University,Nanning,Guangxi 530001,China;Key Laboratory of Earth Surface Process and Intelligent Simulation,School of Geography and Planning,Nanning Normal University,Nanning,Guangxi 530001,China)
出处
《水土保持通报》
CSCD
北大核心
2023年第5期121-127,共7页
Bulletin of Soil and Water Conservation
基金
国家自然科学基金项目“北部湾经济区南流江流域生态系统服务时空变化与权衡研究”(41761039)
“喀斯特峰丛洼地土壤养分过程及其生态系统服务权衡”(42071135)
广西科技基地与人才专项(桂AD20159065)
广西特聘专家人才项目(2019B16)。
