Snow water equivalent retrieval in a Canadian boreal environment from microwave measurements using the HUT snow emission model

被引:53
作者
Roy, V [1 ]
Goïta, K
Royer, A
Walker, AE
Goodison, BE
机构
[1] Def Res & Dev Canada, Val Belair, PQ G3J 1X5, Canada
[2] Univ Sherbrooke, Ctr Applicat & Rech Teledetect, Sherbrooke, PQ J1K 2R1, Canada
[3] Environm Canada, Meteorol Serv Canada, Climat Res Branch, Downsview, ON M3H 5T4, Canada
来源
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING | 2004年 / 42卷 / 09期
基金
加拿大自然科学与工程研究理事会;
关键词
Boreal Ecosystem-Atmosphere Study (BOREAS); Boreal forest; microwave radiometry; snow emission model; snow water equivalent (SWE);
D O I
10.1109/TGRS.2004.832245
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
Snow water equivalent (SWE) is a critical parameter for climatological and hydrological studies over northern high-latitude areas. In this paper, we study the usability of the Helsinki University of Technology (HUT) snow emission model for the estimation of SWE in a Canadian boreal forest environment. The experimental data (airborne passive microwave and ground-based data) were acquired during the Boreal Ecosystem-Atmosphere Study winter field campaign held in February 1994 in Central Canada. Using the experimental dataset, surface brightness temperatures at 18 and 37 GHz (vertical polarization) were simulated with the HUT snow emission model and compared to those acquired by the airborne sensors. The results showed an important underestimation at 37 GHz (-27 K) and an overestimation at 18 GHz (10 K). in this paper, we demonstrate that the errors in the model. simulations are due mainly to the extinction coefficient modeling, which is a function of snow grain size. Therefore, we propose a new semiempirical function for the extinction coefficient, based on an empirical correction to the Rayleigh scattering expression. Results presented in this paper show that the proposed function improves the HUT model accuracy to predict brightness temperature in the experimental context considered, with a mean error of +/-5 K and +/-9 K, respectively, at 18 and 37 GHz, and a. negligible bias (less than 4 K) in both cases. These errors are comparable in magnitude to the accuracy of the radiometers used during the airborne flights. SWE was retrieved using the modified HUT snow emission model based on an iterative inversion technique. SWE was estimated with a mean error of +/-10 mm and a negligible bias. Only a rough knowledge of mean snow grain size phi was required in the inversion procedure. The effects of possible errors on mean snow grain size phi are presented and discussed.
引用
收藏
页码:1850 / 1859
页数:10
相关论文
共 42 条
  • [31] Retrieval of snow water equivalent using passive microwave brightness temperature data
    Singh, PR
    Gan, TY
    [J]. REMOTE SENSING OF ENVIRONMENT, 2000, 74 (02) : 275 - 286
  • [32] SMYTH J, 1999, P 56 E SNOW C FRED C, P91
  • [33] TEDESCO M, 2003, P IGARSS TOUL FRANC
  • [34] THIRKETTLE F, 1991, P 14 CAN S REM SENS, P172
  • [35] Dense media radiative transfer theory based on quasicrystalline approximation with applications to passive microwave remote sensing of snow
    Tsang, L
    Chen, CT
    Chang, ATC
    Guo, JJ
    Ding, KH
    [J]. RADIO SCIENCE, 2000, 35 (03) : 731 - 749
  • [36] Walker A., 1994, PASSIVE MICROWAVE RE, P245
  • [37] Rough bare soil reflectivity model
    Wegmüller, U
    Mätzler, C
    [J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 1999, 37 (03): : 1391 - 1395
  • [38] Radiometric and structural measurements of snow samples
    Wiesmann, A
    Matzler, C
    Weise, T
    [J]. RADIO SCIENCE, 1998, 33 (02) : 273 - 289
  • [39] Wiesmann A, 1999, REMOTE SENS ENVIRON, V70, P307, DOI 10.1016/S0034-4257(99)00046-2
  • [40] Mapping snow water equivalent by combining a spatially distributed snow hydrology model with passive microwave remote-sensing data
    Wilson, LL
    Tsang, L
    Hwang, JN
    Chen, CT
    [J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 1999, 37 (02): : 690 - 704