基于AMSR-E数据的青海省雪深遥感监测模型及其精度评价

干旱区研究 ›› 2011, Vol. 28 ›› Issue (2): 255-261.

基于AMSR-E数据的青海省雪深遥感监测模型及其精度评价

于惠, 张学通, 王玮, 冯琦胜, 梁天刚

农业部草地农业生态系统学重点实验室兰州大学草地农业科技学院, 甘肃兰州 730020

收稿日期:2010-03-23 修回日期:2010-07-07 出版日期:2011-04-25 发布日期:2011-09-06
通讯作者: 梁天刚.E-mail: tgliang@lzu.edu.cn
作者简介:于惠(1985-),女,甘肃临洮人,在读博士,研究方向为草地遥感和地理信息系统.E-mail: yuh04@lzu.cn
基金资助:
教育部高等学校科技创新工程重大项目培育资金项目(708089);国家高技术研究发展专项(2007AA10Z232)及国家科技支撑计划项目(2009BAC53B01)资助

Monitoring Model and Accuracy Evaluation of Snow Depth in Qinghai Province Based on AMSR-E Data

YU Hui, ZHANG Xue-tong, WANG Wei, FENG Qi-sheng, LIANG Tian-gang

Key Laboratory of Grassland Agroecology System, Ministry of Agriculture; College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou 730020, China

Received:2010-03-23 Revised:2010-07-07 Online:2011-04-25 Published:2011-09-06

摘要/Abstract

摘要： 基于2002-2008年10至翌年3月6个积雪季的AMSR-E被动微波亮温数据,以青海省为研究区,结合该区43个气象台站实测雪深等气象数据,系统分析雪深模型建立的影响因子,提出研究区样本筛选的方法。对18GHz和36GHz波段的水平、垂直极化方式的亮温差和实测雪深值进行回归分析,建立了青海省基于AMSR-E亮温数据的雪深反演模型,其回归公式为SD=0.44(Tb_18v－Tb_36v)+2.03,相关系数达0.65。精度分析结果表明,80%的验证样本反演的雪深和台站实测雪深之间的绝对误差在2cm(包括2cm)以内,92%的样本绝对误差在3cm以内。当雪深小于等于8cm时,模型反演精度较高,特别是雪深在6~8cm时,其平均误差仅为0.83cm,RMSE值为1.77cm。当雪深大于8cm时,反演雪深值的误差较大。利用AMSR-E数据反演得到的结果基本能反映青海省雪深变化趋势,但在局部地区反演精度较低。

关键词: 积雪深度, AMSR-E, 亮度温度, 精度分析, 微波辐射, 青海

Abstract: The factors affecting snow depth were systematically analyzed based on a developed snow depth model and the data of AMSR-E passive microwave brightness temperature and snow depth measured by 43 meteorological stations in Qinghai Province during 6 snow seasons from October to next March from 2002 to 2008, and then the approaches of screening samples in the study area were put forward. The regression analyses of horizontal and vertical polarization brightness temperature difference data of 18 GHz and 36 GHz bands and snow depth values were carried out. The equation was , and the correlation coefficient was 0.65. Analyzed results of the accuracy reveal that the absolute error of 80% validated samples between the simulated and measured snow depth values was 2 cm or less, and that of 92% was within 3 cm. When the snow depth was ≤ 8 cm, the accuracy of the simulated results was high, especially the average error was only 0.83 cm and the RMSE value was 1.77 cm when the snow depth varied in a range of 6-8 cm. When the snow depth was thicker than 8 cm, the error of the simulated snow cover depth was high. Basically, the inverted results could reflect the change trend of snow cover depth in Qinghai Province. However, the accuracy of the simulated snow cover depth was low in some regions.

Key words: snow depth, AMSR-E, brightness temperature, accuracy analysis, microwave radiation, Qinghai Province

中图分类号:

P426.635

于惠, 张学通, 王玮, 冯琦胜, 梁天刚. 基于AMSR-E数据的青海省雪深遥感监测模型及其精度评价[J]. 干旱区研究, 2011, 28(2): 255-261.

YU Hui, ZHANG Xue-tong, WANG Wei, FENG Qi-sheng, LIANG Tian-gang. Monitoring Model and Accuracy Evaluation of Snow Depth in Qinghai Province Based on AMSR-E Data[J]. , 2011, 28(2): 255-261.

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