资源简介

摘要： 基于杭州2015年4景Landsat ETM+/OLI_TIRS影像反演城市地表温度，探讨景观格局对城市热环境年内变化的影响。采用热点分析来识别城市热岛与冷岛，利用景观格局指数来剖析热环境年内变化与景观格局的响应关系。实验结果表明：①随着四季更替，杭州城市热岛与冷岛面积占比先增加后减小；热岛效应在夏季最显著，冷岛效应则在秋季最强；②1 a之中，各类景观在夏季时均温最高，在冬季时最低；各类景观中建设用地均温相对最高，水体、林地均温相对较低；③在景观水平上，各景观格局指数与四季地表均温显著相关，相关性强弱会随着分析窗口增大以及季节变化发生波动；在类型水平上，建设用地、水体、林地的景观格局指数与四季地表均温呈现出显著且较强的相关性。研究结果能够帮助合理布局城镇建设用地，引导城市绿地和水域等景观的合理规划设计以缓解杭州城市热岛效应。 关键词： 城市热环境;  Landsat;  景观格局;  杭州     Abstract: Taking the Hangzhou city as an example，this paper retrieves the urban land surface temperature (LST) using 4 Landsat ETM+/OLI_TIRS images and investigates the effects of landscape pattern on the urban thermal environment change.The hot spot analysis was used to identify both the urban heat island and cold island.Landscape pattern indices were adopted to analyze the relationship between the change of the thermal environment and the landscape pattern.Analysis results show that：(1) The proportions of area in urban heat island and cold island in Hangzhou increase first and then decrease with the alternating four seasons；The urban heat island of Hangzhou is the most significant in summer，and the urban cold island effect is more dominant in autumn；(2) Throughout the year，all kinds of landscape has the highest average land surface temperature in summer and the lowest in winter；As for a variety of landscapes，the construction land has the highest average land surface temperature，while，the water body and forest have the relatively low average land surface temperature；(3)On the landscape level，the selected landscape pattern indices are significantly correlated with average land surface temperature in four seasons，the strength of correlation fluctuates with alternating four seasons and the enlargement of analysis window；On the class level，landscape pattern indices of construction land，water body and forest are significantly and highly correlated with average land surface temperature in different seasons.The research in our paper could help to lay out construction land rationally and execute planning and design on urban green space and waters to effectively alleviate the urban heat island effect of Hangzhou.

相关资源

1. 水质遥感监测的关键要素叶绿素a的反演算法研究进展
2. 基于无人机遥感技术的森林参数获取研究进展
3. 基于无线传感器网络的森林生态系统观测试验平台构建
4. 基于无人机激光雷达的森林冠层高度分析
5. 多源时序国产卫星影像的森林火灾动态监测
6. 基于无人机遥感技术的台风灾害倒伏绿化树木检测

下载说明

·如果您发现该资源不能下载，请通知管理员.gissky@gmail.com

·为确保下载的资源能正常使用，请使用[WinRAR v3.8]或以上版本解压本站资源,缺省解压密码www.gissky.net ，如果是压缩文件为分卷多文件，请依次下载每一个文件，并按照顺序命名为1.rar,2.rar,3.rar...，然后鼠标右击1.rar解压.

·为了保证您快速的下载速度，我们推荐您使用[网际快车]等专业工具下载.

·站内提供的资源纯属学习交流之用,如侵犯您的版权请与我们联系.