摘要
针对研究城市热环境的过程中,利用归一化植被指数(NDVI)进行地表温度(LST)反演,再将LST和NDVI结合说明地物变迁与城市热环境的影响的现状,利用Landsat-8多时相遥感影像、高分辨率影像、公开GIS等多源数据,通过人工交互判读和量化统计分析,实现了2013—2017年北京建成区NDVI变化及其对地表热环境影响分析,再对分析结果进行差值拟合评价。对NDVI阈值分割按照大小为LC1、LC2、LC3、LC4,对LST分为高温区(TH)、常温区(TR)和低温区(TL)。结果表明,2013年至2017年:1)建成区的平均NDVI增加0.03,其中LC1增加1.0%,LC2减少11.6%,LC3区域减少1.7%,LC4区域增加12.3%。2)建成区平均LST增加2.55 K,TH百分比增加0.6%;TR百分比减少1.1%,TL百分比增加0.5%。3)NDVI相对增加,地表温度相对下降以及NDVI相对减少,地表温度相对上升占60%,NDVI相对下降,地表温度相对下降以及NDVI相对增加,地表温度相对上升的占40%。
For research of urban thermal environment in the process,using the normalized difference vegetation index(NDVI)for land surface temperature(LST)inversion,thenLSTandNDVIin combination with terrain changes and the impact of urban thermal environment of the status quo,using Landsat-8 long phase of remote sensing image,high-resolution image,multi-source data,such as public GIS through artificial interactive interpretation and quantitative statistical analysis of 2013-2017 Beijing properNDVIchange and its effect on the surface of the earth thermal environment analysis,differential fitting evaluation on the results of the analysis.The threshold value ofNDVIwas divided into high temperature area(TH),normal temperature area(TR)and low temperature area(TL)for LST according to the values ofLC1,LC2,LC3 andLC4.The results showed that from 2013 to 2017:(1)the averageNDVIin the built-up area increased by 0.03,among whichLC1 increased by 1.0%,LC2 decreased by 11.6%,LC3 decreased by 1.7%,andLC4 increased by 12.3%.(2)the averageLSTincreased by 2.55 K,and theTHpercentage increased by 0.6%.TR decreased by 1.1%and TL increased by 0.5%.(3)with the relative increase ofNDVI,the relative decrease of surface temperature and the relative decrease ofNDVI,the relative rise of surface temperature accounts for 60%,the relative decline ofNDVI,the relative decline of surface temperature and the relative increase ofNDVI,the relative rise of surface temperature accounts for 40%.
作者
万继康
WAN Jikang(School of Geomatics,Liaoning Technical University,Fuxin 123000,China)
出处
《测绘与空间地理信息》
2020年第1期72-75,共4页
Geomatics & Spatial Information Technology
基金
国家自然科学基金项目(91638201)资助