A simple retrieval method for land surface temperature and fraction of water surface determination from satellite microwave brightness temperatures in sub-arctic areas

被引:148
作者
Fily, M
Royer, A
Goïta, K
Prigent, C
机构
[1] Univ Grenoble 1, CNRS, Lab Glaciol & Geophys Environm, F-38402 St Martin Dheres, France
[2] Univ Sherbrooke, CARTEL, Sherbrooke, PQ J1K 2R1, Canada
[3] Observ Paris, F-75014 Paris, France
基金
加拿大自然科学与工程研究理事会;
关键词
remote sensing; temperature; surface water; microwave; Canada;
D O I
10.1016/S0034-4257(03)00011-7
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
A strong linear relationship is found between Special Sensor Microwave/Imager (SSM/I) microwave (19 and 37 GHz) surface emissivities at horizontal and vertical polarizations over snow- and ice-free land surfaces. This allows retrieving the land surface emissivity and temperature from satellite microwave brightness temperatures after atmospheric corrections. Over the Canadian sub-arctic continental area, we show that the main factor modifying the emissivity is the fraction of water surface (FWS) within a pixel. Accordingly, a map of the fraction of water surface across the Canadian landmass is derived, given a correspondence within 6% as compared to the I km 2 Canadian National Topographic Database of water-covered areas. The microwave-derived surface temperatures are compared to synchronous in situ air and ground surface temperatures and also with independent satellite IR measurements over areas without snow or ice. Root mean square differences range between 2degrees and 3.5degrees, with mean bias error of the order of 1-3degrees. Better results are always obtained with the 37 GHz channel rather than with the 19 GHz channel. Over dense vegetation, the microwave-derived surface temperature is closer to the air temperature (at surface level) than to the ground temperature. The proposed simple retrieval algorithm, not sensitive to cloud cover, appears very useful for monitoring summer interannual or seasonal trends of the fraction of surface water, as well as the daily land surface temperature variation, which are very important parameters in environmental change analysis. (C) 2003 Elsevier Science Inc. All rights reserved.
引用
收藏
页码:328 / 338
页数:11
相关论文
共 39 条
  • [1] A new neural network approach including first guess for retrieval of atmospheric water vapor, cloud liquid water path, surface temperature, and emissivities over land from satellite microwave observations
    Aires, F
    Prigent, C
    Rossow, WB
    Rothstein, M
    [J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2001, 106 (D14) : 14887 - 14907
  • [2] Basist A, 1998, J APPL METEOROL, V37, P888, DOI 10.1175/1520-0450(1998)037<0888:UTSSMI>2.0.CO
  • [3] 2
  • [4] Characterization of atmospheric aerosols across Canada from a ground-based sunphotometer network: AEROCAN
    Bokoye, AI
    Royer, A
    O'Neill, NT
    Cliche, P
    Fedosejevs, G
    Teillet, PM
    McArthur, LJB
    [J]. ATMOSPHERE-OCEAN, 2001, 39 (04) : 429 - 456
  • [5] BURGESS M, 2001, GLOBAL TERRESTRIAL N
  • [6] Observed hemispheric asymmetry in global sea ice changes
    Cavalieri, DJ
    Gloersen, P
    Parkinson, CL
    Comiso, JC
    Zwally, HJ
    [J]. SCIENCE, 1997, 278 (5340) : 1104 - 1106
  • [7] Chang A., 1987, ANNUALS GLACIOLOGY, V9, P39, DOI [10.1017/S0260305500200736, DOI 10.1017/S0260305500200736]
  • [8] *CLIC, 2001, SCI COORDINATION PLA
  • [9] FERNANDES RA, 2001, NAT RESOUR CANADA
  • [10] OBSERVATION OF HYDROLOGICAL FEATURES WITH NIMBUS-7 37GHZ DATA, APPLIED TO SOUTH-AMERICA
    GIDDINGS, L
    CHOUDHURY, BJ
    [J]. INTERNATIONAL JOURNAL OF REMOTE SENSING, 1989, 10 (10) : 1673 - 1686