Inter-calibrating SMMR, SSM/I and SSMI/S data to improve the consistency of snow-depth products in China (EI)
Dai L.; Che T.; Ding Y.
刊名Remote Sensing
2015
卷号7期号:6页码:7212-7230
英文摘要Long-term snow depth/snow water equivalent (SWE) products derived from passive microwave remote sensing data are fundamental for climatological and hydrological studies. However, the temporal continuity of the products is affected by the updating or replacement of passive microwave sensors or satellite platforms. In this study, we inter-calibrated brightness temperature (Tb) data obtained from the Special Sensor Microwave Imager (SSM/I) and the Special Sensor Microwave Imager/Sounder (SSMI/S). Then, we evaluated the consistency of the snow cover area (SCA) and snow depth derived from the Scanning Multichannel Microwave Radiometer (SMMR), SSM/I and SSMI/S. The results indicated that (1) the spatial pattern of the SCA derived from the SMMR and SSM/I data was more consistent after calibration than before; (2) the relative biases in the SCA and snow depth in China between the SSM/I and SSMI/S data decreased from 42.42% to 1.65% and from 66.18% to -1.5%, respectively; and (3) the SCA and snow depth derived from the SSM/I data carried on F08, F11 and F13 were highly consistent. To obtain consistent snow depth and SCA products, inter-sensor calibrations between SMMR, SSM/I and SSMI/S are important. In consideration of the snow data product continuation, we suggest that the brightness temperature data from all sensors be calibrated based on SSMI/S. 2015 by the authors.
收录类别EI
语种英语
内容类型期刊论文
源URL[http://ir.casnw.net/handle/362004/27172]  
专题寒区旱区环境与工程研究所_中科院寒区旱区环境与工程研究所(未分类)_期刊论文
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GB/T 7714
Dai L.,Che T.,Ding Y.. Inter-calibrating SMMR, SSM/I and SSMI/S data to improve the consistency of snow-depth products in China (EI)[J]. Remote Sensing,2015,7(6):7212-7230.
APA Dai L.,Che T.,&Ding Y..(2015).Inter-calibrating SMMR, SSM/I and SSMI/S data to improve the consistency of snow-depth products in China (EI).Remote Sensing,7(6),7212-7230.
MLA Dai L.,et al."Inter-calibrating SMMR, SSM/I and SSMI/S data to improve the consistency of snow-depth products in China (EI)".Remote Sensing 7.6(2015):7212-7230.
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