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RS-GIS based landscape pattern change and its effect on urban thermal environment in main urban area of Kunming, China

机译:基于RS-GIS的昆明市主城区景观格局变化及其对城市热环境的影响

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The urban eco-environmental effect was generated in the process of urbanization. Urban thermal environment is a comprehensive embodiment of environmental effect of urban landscape ecosystem. Landsat TM/ETM+ data, Modis data and the real-time meteorological data were used to study the effect that landscape changes caused to the urban thermal environment. Fragstats, a famous landscape metrics calculation software, was used to calculate the landscape metrics in the class-level and the landscape-level. Erdas Imagine, a famous RS soft has been used to build model to extract land surface temperature. Modis data and meteorological data at the satellite pass were used to testify the validity of Landsat TM/ETM+ Band6. Annual variation and seasonal variation of thermal environment were revealed. The result showed that the building area increased quickly through occupying land. As a result, land deceased sharply during year 1992 to 2008. The building area changed from 5163ha in year 1992 to 11425ha in 2008. The urban expansion also occupied the forest and grassland. There was 1123ha grass land in 1992, but it couldn't be identified on the Landsat TM images in 2008. Through three periods in 1992, 2000 and 2008, NP(number of patches) was 1283, 1952, 2566 respectively. The largest patch type changed from land to building area and LPI (the largest patch index) increased from 29% to 66%. Six higher LST areas and two lower LST areas were found on 4 Landsat images in year 2000 to 2001. Meanwhile, five same higher temperature areas which weakened at some extent and two new areas with higher LST were founded on Landsat image in 2008. The biggest high temperature area was located in Liangting Village and the higher temperature area of building area moved outside gradually from year 1992 to 2008
机译:城市生态环境效应是在城市化过程中产生的。城市热环境是城市景观生态系统环境效应的综合体现。使用Landsat TM / ETM +数据,Modis数据和实时气象数据来研究景观变化对城市热环境的影响。 Fragstats是著名的景观度量计算软件,用于在类级别和景观级别计算景观度量。著名的RS软件Erdas Imagine已用于构建模型以提取地表温度。卫星通行证上的Modis数据和气象数据被用来证明Landsat TM / ETM + Band6的有效性。揭示了热环境的年变化和季节变化。结果表明,建筑面积因占用土地而迅速增加。结果,土地在1992年至2008年急剧下降。建筑面积从1992年的5163公顷变为2008年的11425公顷。城市的扩张也占用了森林和草原。 1992年有1123公顷草地,但在2008年的Landsat TM图像上无法识别。在1992年,2000年和2008年的三个时期中,斑块数量NP分别为1283、1952和2566。最大的斑块类型从土地变为建筑面积,LPI(最大的斑块指数)从29%增加到66%。 2000年至2001年,在4幅Landsat影像上发现了6个较高的LST区域和2个较低的LST区域。同时,2008年在Landsat影像上发现了5个相同程度的温度有所减弱的较高温度区域和2个LST较高的新区域。 1992年至2008年,高温区域位于凉亭村,建筑区域较高温度区域逐渐移出

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