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  • 标题:Study on the Difference of Surface Temperature among Different Vegetation Landscapes Detected by Ground Thermal Infrared Remote Sensing
  • 本地全文:下载
  • 作者:Ming Guo ; Qiong Liang ; Yun Liu
  • 期刊名称:IOP Conference Series: Earth and Environmental Science
  • 印刷版ISSN:1755-1307
  • 电子版ISSN:1755-1315
  • 出版年度:2019
  • 卷号:310
  • 期号:5
  • 页码:1-8
  • DOI:10.1088/1755-1315/310/5/052009
  • 出版社:IOP Publishing
  • 摘要:Surface vegetation cover is a difficult problem in surface temperature inversion by thermal infrared remote sensing, thus this paper selected water body as the reference surface, measured surface temperature of five different vegetation landscape types (high tree, tree-shrub-grass, grass, shrub, and tree-grass) by using ground thermal infrared remote sensing instrument and analyzed the temperature difference along the Wenyu river. The results showed that there were seasonal differences of surface temperature among different vegetation landscape, the seasonal variation of shrub surface temperature was the most stable, but those of tree-shrub-grass was the most unstable; the directional difference of the surface temperature among vegetation landscape was influenced by the slope, given the consistent slope, the order of directional difference of surface temperature among vegetation landscape types was: tree-grass > high tress > tree-shrub-grass > shrub >grass; there was different respond relationship between surface temperature and vertical temperature among vegetation landscape, in which there was linear equation model (y = b1x + b0) for the two types of high-tree and shrub, Joe forest and shrub forest, "S" type curve model (y = exp (b0 + b1 / x)) for the three types of tree-grass, grass, and tree-shrub-grass.
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