当前位置: 首页 > 文章 > 基于遥感的天山山区地表温度与下垫面的关系研究 石河子大学学报(自然科学版) 2011,29 (2) 224-229
Position: Home > Articles > The Relationship between Land Surface Temperature and Underlying Surface in Tianshan Mountains Region Based on Remote Sensing Journal of Shihezi University(Natural Science) 2011,29 (2) 224-229

基于遥感的天山山区地表温度与下垫面的关系研究

作  者:
刘海隆;王玲;包安明
单  位:
中国科学院新疆生态与地理研究所;石河子大学水利建筑工程学院;石河子大学师范学院地理系
关键词:
TM;地表温度;土地利用方式;单窗算法
摘  要:
地表温度是干旱区山区融雪径流研究的基础,其空间变化与下垫面密切相关,为分析地表温度与下垫面的关系,本文基于TM数据,利用单窗算法对天山山区典型区域的地表温度进行了反演,并分析了地表温度分布与下垫面特征之间的相互关系。研究结果表明:单窗算法可以对天山山区地表温度进行有效反演,具有一定可靠精度;在研究区内,地表温度随海拔高度的增高而降低,随坡度的增加而减小,随地势起伏度的增加而降低,另外不同的土地利用方式对地表温度具有不同的影响,其中建设用地具有热岛效应,从而温度明显偏高,植被盖度的不同也造成地表温度的不同分布。上述结果对分析山区的融雪径流具有重要意义。
译  名:
The Relationship between Land Surface Temperature and Underlying Surface in Tianshan Mountains Region Based on Remote Sensing
作  者:
LIU Hailong1,WANG Ling2,BAO Anming3(1 College of Water Conservancy and Architectural Engineering,Shihezi University,Shihezi 832003,China;2 Department of Geography,Teachers College,Shihezi University,Shihezi 832003,China;3 Xinjiang Institute of Ecology and Geography,CAS,Urumqi 83001l,China)
关键词:
TM;land surface temperature;land use;Mono-window algorithm
摘  要:
Land surface temperature is a basic factor in researching melt snowmelt runoff,and remote sensing is an important data resource.Mono-window algorithm has been applied to retrieving land surface temperature(LST) in Tianshan mountains region base on Landsat's Thematic Mapper(TM).The relationship between LST and underlying surface has been analyzed.The result shows that the accuracy of the retrieval LST in Tianshan mountains region is reliable.This indicates that the mono-window algorithm is ah effective method.LST increases with elevation and decreases with slope and relief amplitude.Different land uses have different effects on LST;for example,urban heat island effect on construction land can cause LST to be significantly higher.This investigation is meaningful for analyzing melt snowmelt runoff.

相似文章

计量
文章访问数: 12
HTML全文浏览量: 0
PDF下载量: 1

所属期刊

推荐期刊