期刊文献+

基于MODIS的武汉城市圈地表温度场特征 被引量:12

CHARACTERISTICS OF LAND SURFACE TEMPERATURE FIELDS IN WUHAN METROPOLITAN REGION USING MODIS DATA
原文传递
导出
摘要 地表温度是许多研究领域,如环境、生态、水文、气候、农业、浅层地温能、热岛效应等不可或缺的重要参数,这些参数现在可以通过卫星热红外遥感技术方便地获得。对一年的MODIS 8d合成地表温度产品进行了处理,得到了武汉城市圈的地表年平均温度、年温度变幅、日温度变幅、年最低温出现时间、日最高温出现时刻等参数的分布图,并对这些参数的分布特征与土地利用现状进行了对比分析,初步揭示了该区的地表温度时空变化规律。结果表明,这些参数受到城市热岛效应、下垫面和地形因素的强烈影响,年平均温度以城市地区最高,平原地区其次,北部和南部山区的年平均温度最低;地表水体与其附近陆地相比,年平均温度的差异并不显著,但是其年温度变幅、日温度变幅都明显比陆地小,同时,年最低温出现时间、日最高温出现时刻都明显滞后,这些是水与岩土相比具有较高比热容的必然结果。 Land surface temperature(LST)is the indispensable important parameter for many research areas,such as environment,ecology,hydrology,climate,agsiculture,shallow geothermal energy,heat-island effect,etc.Now,these parameters can be obtained through satellite infrared remote sensing technology.In this paper,we processed one year's MODIS dataset of"Land Surface Temperature Emissivity 8-Day L3 Global 1 km",and obtained the spatial distribution maps for the annual average,annual amplitudes and daily amplitudes of LST and appearing times of the annual minimum LST and diurnal maximum LST in Wuhan Metropolitan Region(WMR).We also compared these maps and the current land use map,and revealed the preliminary regulation of temporal and spatial variation of LST in WMR.Results showed these LST parameters were affected strongly by heat island effect,underlying surface and topography factors.The annual average LST was highest in urban areas,lowest in the Northern and Southern mountain areas and average in the plain areas.There were no marked differences between the annual average LST of inland water(such as the Yangtze River and Han River,Lakes and reservoirs)and that of their neighbor lands,but the annual amplitudes and dual amplitudes of LST of inland waters were significantly smaller than their neighbor lands,and their appearing times of the lowest annual LST and highest dual LST were also lag much behind that of neighbor lands.It is the inevitable outcome that the specific heat capacity of water is greater than that of soil and rock.
出处 《长江流域资源与环境》 CAS CSSCI CSCD 北大核心 2010年第12期1379-1385,共7页 Resources and Environment in the Yangtze Basin
基金 中国科学院知识创新工程重要方向项目(kzcx2-yw-141) 湖北省地质矿产勘查开发局课题"武汉城市圈浅层地温能研究"(0703)共同资助
关键词 地表温度 遥感 MODIS 武汉城市圈 land surface temperature remote sensing MODIS Wuhan metropolitan region
  • 相关文献

参考文献11

  • 1毛克彪.基于热红外和微波数据的地表温度和土壤水分反演算法研究[M].北京:中国农业科学技术出版社,2008.
  • 2毛克彪,覃志豪,施建成,宫鹏.针对MODIS影像的劈窗算法研究[J].武汉大学学报(信息科学版),2005,30(8):703-707. 被引量:98
  • 3湖北省人大常委会.武汉城市圈资源节约型和环境友好型社会建设综合配套改革试验促进条例[EB/OL].(200907-31)[2010-01-12].http://www.hubei.gov.cn/zfxxgk/zfgw/25gb2009/gg0920/201001/t20100112-111312.shtml.
  • 4朱君,唐伯惠.利用MODIS数据计算中国地表短波净辐射通量的研究[J].遥感信息,2008,30(3):60-65. 被引量:11
  • 5国家MODIS共享平台.MODIS波段分布和主要应用[EB/OL].(2003-10)http://www.nfiieos.cn/html/eos/modiswave.htm.
  • 6WAN Z M,ZHANG Y L,ZHANG Q C,et al. Quality assessment and validation of the MODIS global land surface temperature[J]. Int J Remote Sens,2004,25:261--274.
  • 7WAN Z M. MODIS land-surface temperature algorithm theoretical basis document (Version3.3)[R]. Institute for Computational Earth System Science, University of California, Santa Barbara, 1999.
  • 8WAN Z M,ZHANG Y L,ZHANG Q C,et al. Validation of the land-surface temperature products retrieved from Terra Moderate Resolution Imaging Spectroradiometer data[J]. Remote Sens Environ, 2002,83 : 163 - 180.
  • 9LAND PROCESSES DISTRIBUTED ACTIVE ARCHIVE CENTER. Land surface temperature - emissivity 8 Day L3 global lkm[ EB/OL]. https://lpdaac, usgs. gov/lpdaac/prod- ucts/modis products_table/land_ surface_ temperature emissivity/8 day 13 global 1 km/ v5/terra.
  • 10陈友明,王宇航,莫志姣.土壤初始温度模型[J].湖南大学学报(自然科学版),2007,34(7):27-29. 被引量:17

二级参考文献41

  • 1覃志豪,LI Wenjuan,ZHANG Minghua,Arnon Karnieli,Pedro Berliner.单窗算法的大气参数估计方法[J].国土资源遥感,2003,15(2):37-43. 被引量:363
  • 2王宇航,陈友明,伍佳鸿,彭建国.地源热泵的研究与应用[J].建筑热能通风空调,2004,23(4):30-35. 被引量:32
  • 3覃志豪,李文娟,徐斌,陈仲新,刘佳.陆地卫星TM6波段范围内地表比辐射率的估计[J].国土资源遥感,2004,16(3):28-32. 被引量:531
  • 4Li Z, Becker F. Feasibility of Land Surface Temperature and Emissivity Determination from AVHRR Data. Remote Sensing of Environment, 1993(43):67~85.
  • 5Qin Z, Karnieli A. Progress in the Remote Sensing of Land Surface Temperature and Ground Emissivity Using NOAA-AVHRR Data. Int. J. Remote Sens. ,1999(20): 2 367~2 393.
  • 6Barton I J, Zavody A M, Orien D M. Theoretical Algorithms for Satellite-Devised Sea Surface Temperatures. J. Geophys. Res. ,1989(93):3 365~3 375.
  • 7Harris A R, Mason I M. An Extension to the SplitWindow Technique Giving Improved Atmospheric Correction and to Total Water Vapor. Int. J. Remote Sens. , 1992(5):881~892.
  • 8Sobrio J A, Li L Z, Stoll M P. Impact of the Atmospheric Transmittance and Total Water Vapor Content in the Algorithms for Estimating Satellite Sea Surface Temperature. IEEE Trans. on Geosci. Remote Sens. , 1993(31):946~952.
  • 9Price J C. Land Surface Temperature Measurements form the Split Window Channels of the NOAA7 Advance Very High Resolution Radiometer. J. Geophys.Res. , 1984(89):7 231~7 237.
  • 10Ottl C, Stoll M. Effect of Atmosphere Absorption and Surface Emissivity on the Determination Land Temperature from Infrared Satellite Data. Int. J. Remote Sens. ,1993(10):2 025~2 037.

共引文献123

同被引文献122

引证文献12

二级引证文献90

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部