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首页> 外文期刊>International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences >SPATIAL AND TEMPORAL ANALYSIS OF MONTHLY WATER CONSUMPTION AND LAND SURFACE TEMPERATURE (LST) DERIVED USING LANDSAT 8 AND MODIS DATA
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SPATIAL AND TEMPORAL ANALYSIS OF MONTHLY WATER CONSUMPTION AND LAND SURFACE TEMPERATURE (LST) DERIVED USING LANDSAT 8 AND MODIS DATA

机译：使用Landsat 8和MODIS数据导出的月度耗水和陆地温度（LST）的空间和时间分析

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Land Surface Temperature (LST) is one of the important factors in monitoring urban climate. Observing the variations of LST can provide a better understanding of the Urban Heat Islands (UHI) phenomenon. The aim of this research is to assess the relationship between the spatial and temporal distribution of LST and water consumption in Zamboanga City for years 2016 and 2017. Data from the city’s water district were used to compute for the per capita water consumption (PCWC) of 49 barangays. Landsat 8 LST data with 30m spatial resolution were computed using inverse Plank function and other parameters such as vegetation proportion and surface emissivity to assess LST spatially while MODIS Terra data with 1km spatial resolution were used to assess LST temporally. Result showed that Landsat LST and PCWC have moderate correlations with p  0.01: 0.59 and 0.55 for March and April 2016, respectively; 0.49 and 0.56 for March and April 2017, respectively. These indicated that warmer barangays consumed more water. The temporal correlation of the MODIS LST and the computed PCWC equated a −0.71, p  0.01, correlation. This negative correlation indicated that when LST increases, PCWC decreases, which do not directly indicate that the city consumed less water but rather that the supply was less during warmer months. It was evident as water rationing was experienced during the first quarter of 2016 and intensified on April where the highest LST was recorded. Finally, LST was found of good use in assessing the relationship of temperature and water consumption.
机译：土地表面温度（LST）是监测城市气候的重要因素之一。观察LST的变化可以更好地了解城市热群（UHI）现象。本研究的目的是评估Zamboanga市LST和耗水时间之间的关系2016年和2017年。城市水域的数据用于计算人均水消耗（PCWC）的计算49巴兰德。使用逆板功能和其他参数（如植被比例和表面发射率）计算具有30米空间分辨率的Landsat 8 LST数据，以便在空间上评估LST，而使用1km空间分辨率的Modis Terra数据在时间上评估LST。结果表明，3月和2016年3月，LANDSAT LST和PCWC分别与P <0.01：0.59和0.55分别具有适度的相关性; 2017年3月和2017年4月0.49和0.56。这些表明，较温暖的巴兰日消耗了更多的水。 MODIS LST和计算机PCWC等同于-0.71，P <0.01，相关性的时间相关性。这种负相关表明，当LST增加时，PCWC减少，这不会直接表明该市在较少的水中消耗了较少的水，而是在较温暖的月份期间供应较少。由于2016年第一季度经历了水分，因此在4月份举办了最高LST的历史，因此很明显。最后，LST被发现在评估温度和耗水关系中的良好用途。

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