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基于MODIS数据的天山区域地表温度时空特征

管延龙1,2,王让会1,2**,李成1,姚健1,张萌1,赵建萍1   

  1. (南京信息工程大学环境科学与工程学院, 南京 210044; 2中国气象局树木年轮理化研究重点开放实验室, 乌鲁木齐 830002)
  • 出版日期:2015-03-18 发布日期:2015-03-18

Spatial-temporal characteristics of land surface temperature in Tianshan Mountains area based on MODIS data.

GUAN Yan-long1,2, WANG Rang-hui1,2, LI Cheng1, YAO Jian1, ZHANG Meng1, ZHAO Jian-ping1   

  1. (1School of Environmental Science and Technology, Nanjing University of Information Science and Technology, Nanjing 210044, China; 2Key Open Laboratory of Treering Physical and Chemical Research, China Meteorological Administration, Urumqi 830002, China)
  • Online:2015-03-18 Published:2015-03-18

摘要: 基于2001—2013年MODIS地表温度产品及TM影像遥感解译的土地利用类型数据,对天山区域地表温度时空特征进行分析.结果表明: 2001—2013年,研究区地表平均温度达1.73 ℃,呈东高西低的特点,西北部分地区的地表温度年际变化幅度明显高于其他地区,局部地区在0.55 ℃以上;地表温度呈逐年缓慢增加趋势,增加率为0.147 ℃·a-1,季节性差异明显,冬季地表温度波动幅度较大,变异系数达12.7%,地表温度的差异白天大于夜晚,夏季明显高于其他季节;不同土地利用类型的地表温度之间存在差异,与对应像元的归一化植被指数之间存在不同的拟合效果.随着植被盖度的增加,林地、草地地表温度下降明显,归一化植被指数每下降0.1时,林地和草地的地表温度降幅为3.74、5.04 ℃;受人为活动影响较多的城镇用地和农地的地表温度与归一化植被指数之间的敏感性高于其他土地利用类型.

Abstract: Based on the MODIS/MOD11A2 data from 2001 to 2013, this paper researched the characteristics of land surface temperature (LST) of Tianshan Mountains area. The results indicated that the average of LST in the study area was 1.73 ℃, and LST was much higher in the east than in the west. The interannual variation range of LST in the northwest was significantly large than in other regions, with the largest above 0.55 ℃ in some areas. The LST tended to slowly increase with time, and the increase rate was  0.147 ℃·a-1. It showed a significant seasonal difference, and the fluctuation of winter was significantly larger than in other seasons with the coefficient of variation reaching 12.7%. The LST difference of day time was greater than that at night, and that in summer was greater than in other seasons. The LST differed with land use types, and the fitted results were inconsistent between the LST and NDVI. With the increase of NDVI of woodland and grassland, the LST decreased dramatically. The LST of construction land and cropland under the influence of human activities had higher sensitivity with NDVI than other land types.