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地表辐射温度取代地表温度的可行性分析——以“风云2号”C星与MODIS数据为例 被引量:1

The Feasibility of Replacing Surface Temperature with Surface Radiation Temperature:A Case Study of "FY-2C" and MODIS Data
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摘要 为了反演出全天各个时刻的地表温度数据,在不考虑大气水汽含量和地表比辐射率的情况下,首先建立"风云2号"C星2个热红外通道数据相对于MODIS地表温度数据之间的回归方程,反演出各个时刻的5 km空间分辨率的地表辐射温度;然后根据地表温度最大值和最小值出现的时间,将反演的地表辐射温度降尺度到1 km空间分辨率,在同时刻、同尺度的前提下,通过对"风云2号"C星数据反演得到的5 km空间分辨率地表辐射温度和MODIS数据升尺度得到的5 km空间分辨率地表温度以及它们的空间分布进行对比分析,发现二者的空间分布格局趋于一致;最后,结合植被覆盖分类图,求出不同植被覆盖类型区域在"风云2号"C星(1 km空间分辨率)影像和MODIS(1 km空间分辨率)影像上的平均地表辐射温度,计算得到的绝对误差为1.95 K,相对误差为10.7%。反演结果表明,以土壤和植被为主体的地表面,用该方法得到的地表辐射温度与MODIS地表温度的最大误差在2 K之内。 In order to invert the land surface temperature data of a whole day,the authors first used data for MODIS land surface temperature and the same passing time of the two infrared channels of FY-2C satellite to obtain the regression coefficient by linear fitting of each pixel without considering atmospheric water vapor content and land surface emissivity,and then inverted the land surface radiation temperature with the spatial resolution of 5 km per hour of the day.Based on the transit time,the maximum and minimum surface temperatures appeared,which were downscaled to the spatial resolution of 1 km.Comparing the distribution of the 5 km spatial resolution land surface radiation temperature inverted from FY-2C data with the distribution of MODIS 5 km spatial resolution land surface temperature at the same time and same scale,the authors found that their spatial distributions are similar.Finally,the authors calculated the average 1 km spatial resolution surface radiation temperature inverted from FY-2C remote sensing data and MODIS 1 km spatial resolution land surface temperature in the regions with different vegetation types in combination with the vegetation cover classification map,and the results suggest that the absolute error is 1.95 K and the relative error is 10.7%,which means that the error of the land surface radiation temperature inverted by the method and the land surface temperature is below 2 K when the main body of the land surface is covered with soil and vegetation.
作者 荣媛 杨永民
出处 《国土资源遥感》 CSCD 2011年第4期14-19,共6页 Remote Sensing for Land & Resources
基金 国家自然科学基金项目(编号:408711704 0801141和41101329) 中国科学院百人计划项目共同资助
关键词 地表辐射温度 地表温度 热红外通道 降尺度 “风云2号”C星 MODIS Land surface radiation temperature Land surface temperature Infrared channels Downscaling FY-2C MODIS
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参考文献17

  • 1Wan Z M, Li Z L. A Physics - based Algorithm for Retrieving Land- surface Emissivity and Temperature from EOS/MODIS Data[J]. IEEE Transactions on Geoscience and Remote Sensing,1997,35 (4) :980 - 996.
  • 2Li Z L, Beeker F. Feasibility of Land Surface Temperature and Emissivity Determination from AVHRR Data [ J ]. Remote Sensing of Environment, 1993,43 ( 1 ) :67 - 85.
  • 3Mao K, Qin Z, Shi J, et al. A Practical Split - window Algorithm for Retrieving Land- surface Temperature from MODIS Data[J]. International Journal of Remote Sensing, 2005,26 ( 15 ) : 3181 - 3204.
  • 4Qin Z H, Karinieli A. Progress in the Remote Sensing of Land Surface Temperature and Ground Emissivity Using NOAA - AVHRR Data[ J ]. International Journal of Remote Sensing, 1999, 20(12) :2367 -2393.
  • 5Kaufman Y J, Gao B C. Remote Sensing of Water Vapor in the Near IR from EOS/MODIS[ J ]. IEEE Transactions on Geoscience and Remote Sensing, 1992,30 (5) :871 - 884.
  • 6Hurtado E, Vidal A, Caselles V. Comparison of Two Atmospheric Correction Methods for I.andsat TM Thermal Band[ J]. International Journal of Remote Sensing, 1996,17 (2) :237 - 247.
  • 7Tang B H, Bi Y Y, Li Z L, et al. Generalized Split - window Algorithm for Estimate of Land Surface Temperature from Chinese Geostationary FengYun Meteorological Satellite ( FY - 2C ) Data [ J ]. Sensors,2008,8 (2) :933 - 951.
  • 8Shu Y Q, Stison S, Jenen K H, et al. Estimation of Regional Evapotranspiration over the North China Plain Using Geostationary Satellite Data [ J ]. International Journal of Applied Earth Observation and Geoinformation,2011,13 (2) : 192 - 206.
  • 9Sobrino J A, Romaguera M. Land Surface Temperature Retrieval from MSGI -SEVIRI Data[ J]. Remote Sensing of Environment, 2004.92(2) .247 - 254.
  • 10覃志豪,Zhang Minghua,Arnon Karnieli,Pedro Berliner.用陆地卫星TM6数据演算地表温度的单窗算法[J].地理学报,2001,56(4):456-466. 被引量:818

二级参考文献28

  • 1李召良,M.P.Stoll,张仁华,贾立,苏中波.利用ATSR数据分解土壤和植被温度的研究[J].中国科学(E辑),2000,30(z1):27-38. 被引量:20
  • 2陈维英,肖乾广,盛永伟.距平植被指数在1992年特大干旱监测中的应用[J].环境遥感,1994,9(2):106-112. 被引量:174
  • 3张仁华.以热红外信息为基础的估算作物缺水指数的新模式[J].中国科学,B辑,1986,(4).
  • 4李小文.地球表面热量交换遥感定量研究.国家攀登项目合同[M].,1998..
  • 5张仁华.真这地表温度的获取及普通玻璃温度表的初步订正.农田水分与能量试验[M].北京:科学出版社,1987..
  • 6张仁华 田国良.常温比辐射率测量[J].科学通报,1981,26(5):297-300.
  • 7张仁华.利用二氧化碳激光较远距离测量物体比辐射率[J].科学通报,1985,30(23):1444-1447.
  • 8Qin Z,Int J Remote Sensing,2000年
  • 9Zhang R H, Li Z L, Tang X Z, et al. Study of emissity scaling and relativity of homogeneity of surface temperature[J]. International Journal of Remote Sensing,2004, 25(1): 245-259.
  • 10Lagouarde J P,Kerr Y H , Brunet Y.An experimental study of angular effects on surface temperature for various plant canopies and bare[J]. Agriculture and Forest Meteorology,1995, 77:167-190.

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