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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的横向模式变化及其对昆明市主要城市地区城市热环境的影响

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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:城市化进程中的城市生态环境效应。城市热环境是城市景观生态系统环境效果的综合实施例。 Landsat TM / ETM +数据,MODIS数据和实时气象数据用于研究景观变化对城市热环境的影响。 Fragstats是一个着名的景观度量计算软件,用于计算类级和景观级别的景观度量。 Erdas Imagine,着名的RS软件已被用于构建模型以提取陆地温度。卫星通过的MODIS数据和气象数据用于验证Landsat TM / ETM + Band6的有效性。揭示了热环境的年度变化和季节性变化。结果表明,建筑面积通过占用土地迅速增加。因此,1992年至2008年的土地在1992年至2008年急剧死亡。建筑面积从1992年的5163年改为2008年到11425哈。城市扩张也占据了森林和草原。 1992年有1123个草地土地,但它无法在2008年的Landsat TM图像上识别。通过1992年的三个时期,2000年和2008年,NP(补丁数量)分别为1283,1952,2566。从土地到建筑面积和LPI(最大贴片指数)的最大贴片类型从29%增加到66%。 2000年至2001年的4个Landsat图像中发现了六个高度的LST地区和两个下LST地区。同时,在一定程度上削弱了五个相同的温度区域,并在2008年在Landsat Image上建立了两个新的地区。最大的高温面积位于梁静村,建筑面积的较高温度面积从1992年至2008年逐渐移动

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