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首页> 外文会议>Remote sensing for agriculture, ecosystems, and hydrology XIII >Spatial Analysis of LST in Relation to Surface Moisture and NDBI using Landsat Imagery in Cheongju City
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Spatial Analysis of LST in Relation to Surface Moisture and NDBI using Landsat Imagery in Cheongju City

机译：利用清州市Landsat影像分析与表面水分和NDBI相关的LST空间

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The survey of Landsat satellite image is effective in the continuous monitoring of a vast area during long periods of time. It is increasingly being used to derive and analyze spatial distribution data of both the normalized difference built-up index (NDBI) and land surface temperature (LST) that are major indicators for an analysis of urban environment. Especially, LST is one of the key parameters in physics and meteorology of land surface processes on regional and global scales. Satellite remote sensing has been expected to be effective for obtaining thermal information of the earth's surface with a high resolution. Meanwhile as more than 50% of the populations are situated in cities, urbanization has become an important contributor to global warming due to remarkable urban heat island (UHI) effect. UHI effect is meteorological phenomenon that the air temperature increases in urban area than the suburbs because grows with the progress of urbanization. UHI effect has been affected to the regional climate and environment. This study aims to examine relationships of LST with NDBI, and with surface moisture using Landsat TM and ETM+ imagery obtained for the city of Chungbuk in Korea; and to quantitatively compare the patterns and intensity of UHI with land-use/land-cover (LULC) types. Landsat TM (thematic mapper) and ETM+ (enhanced thematic mapper plus) imagery, respectively acquired in 1991, 1994, 2000 and 2006, were utilized to assess urban area thermal characteristics in Cheongju, the city of Chungbuk province in Korea. In order to accurately estimate urban surface moisture, tasseled cap model (TCM) was utilized to generate the proportion of surface moisture. The results indicate urbanization is an accurate indicator of UHI effects with strong linear relationships between LST and NDBI. This implies that surface moisture can be used to analyze temperature quantitatively for UHI studies validated by NDBI. And this suggests that surface moisture, combined with LST, and NDBI, can quantitatively describe the spatial distribution and temporal variation of urban thermal patterns and associated LULC types.
机译：Landsat卫星图像的勘测可有效地长时间连续监视广阔的区域。越来越多地使用它来导出和分析归一化差异累积指数（NDBI）和地表温度（LST）的空间分布数据，这是分析城市环境的主要指标。特别是，LST是区域和全球尺度上地表过程物理和气象学的关键参数之一。期望卫星遥感对于以高分辨率获得地球表面的热信息是有效的。同时，由于超过50％的人口位于城市，由于城市热岛效应（UHI）的显着影响，城市化已成为导致全球变暖的重要因素。 UHI效应是一种气象现象，因为随着城市化的发展，城市地区的气温比郊区升高。 UHI效应已影响到该地区的气候和环境。这项研究的目的是使用从韩国忠北市获得的Landsat TM和ETM +图像，检验LST与NDBI以及表面水分的关系。并定量比较UHI与土地利用/土地覆盖（LULC）类型的模式和强度。分别在1991年，1994年，2000年和2006年获得的Landsat TM（专题测绘仪）和ETM +（增强型专题测绘仪）图像用于评估韩国忠北市清州市的市区热特征。为了准确估算城市地表水分，使用了流穗帽模型（TCM）来生成地表水分的比例。结果表明，城市化是UHI影响的准确指标，LST和NDBI之间具有很强的线性关系。这意味着可以利用表面水分对NDBI验证的UHI研究进行定量分析。这表明，表面水分与LST和NDBI相结合，可以定量描述城市热力模式和相关LULC类型的空间分布和时间变化。

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