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Characterizing the Meso-Scale Enviromental Thermal Effects Due to Different Landuse Types using Remote Sensing Techniques and Indices in Taoyuan, North Taiwan

机译:在台湾桃园省桃园的遥感技术和索引,由于不同的土地利用类型,表征了间谍环境热效应

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The purpose of this paper was to characterize the mesoscale environmental thermal effects due to different landuse types in Taoyuan, north Taiwan with the application of remote sensing techniques and indices. A LandSat 7 ETM+ image was utilized to characterize the spatial distribution of land surface temperature and the average temperatures of different landuse types. Two remote sensing indices, Normalized Difference Vegetation Index (NDVI) and Normalized Difference Moisture Index (NDMI) were calculated in each pixel of the image and linearly regressed with the surface temperature. The results showed that the average land surface temperatures in urban area and bare land was 3.43 ?°C and 2.58 ?°C higher and those in grassland, forest, waterbody, and rice paddies was 0.78 ?°C, 0.70 ?°C, 2.79 ?°C, and 2.87 ?°C lower than the overall average temperature. It was also found that the surface temperature reduced 1.3 ?°C for every increment of 0.1 in the NDVI and reduced 1.7 ?°C for that in the NDMI. It demonstrated that surface moisture content and vegetation coverage greatly influenced land surface temperature.
机译:本文的目的是在北台湾桃园型不同的土地使用,以遥感技术和指标应用于桃园各种各样的地面类型,表征了迈空尺度环境热效应。利用LANDSAT 7 ETM +图像表征陆地表面温度的空间分布和不同土地使用类型的平均温度。在图像的每个像素中计算两个遥感索引,归一化差异植被指数(NDVI)和归一化差分湿度指数(NDMI),并用表面温度线性回归。结果表明,城市地区和裸地的平均土地表面温度为3.43?°C和2.58?°C,草原,森林,水体和稻田的°°C高0.78?°C,0.70?°C,2.79 ?°C,2.87°C低于总体平均温度。还发现,在NDVI中,表面温度降低了1.3°C 0.1的每增加0.1,并在NDMI中减少1.7°C。它表明,表面水分含量和植被覆盖率极大地影响了陆地表面温度。

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