干旱区生态环境知识资源中心(Arid): 基于简化参数方法的蒙古干旱区土壤湿度被动微波遥感

Arid

	基于简化参数方法的蒙古干旱区土壤湿度被动微波遥感
其他题名	Soil moisture estimation over an arid environment in Mongolia from passive microwave remote sensing based on a simplified parameterization method
	田辉 1; 王澄海 2; 文军 3; 王欣 3; 陆登荣 4; 吕少宁 3
来源期刊	地球物理学报
ISSN	0001-5733
出版年	2012
卷号	55 期号:2 页码:415-427
中文摘要	卫星被动微波遥感土壤湿度,是准确分析大空间尺度上陆表水分变化信息的有效手段。美国航天局(NASA)发布的基于AMSR-E观测亮温资料的全球土壤湿度反演产品,在蒙古干旱区的实际精度并不令人满意。本文基于对地表微波辐射传输中地表粗糙度和植被层影响的简化处理方法,采用AMSR-E的6.9 GHz,10.7 GHz和18.7 GHz之V极化亮温资料,应用多频率反演算法,并以国际能量和水循环协同观测计划(The CoordinatedEnergy and Water Cycle Observations Project)即CEOP实验在蒙古国东部荒漠地区的地面实验资料作为先验知识,获取被动微波遥感模型的优化参数,以期获得蒙古干旱区精度更高的土壤湿度遥感估算结果。分析表明,本文方法反演的白天和夜间土壤湿度结果与地面验证值之间的均方根误差(RMSE)接近0.030 cm~3/cm~3,证明所用方法在不需要其他辅助资料或参数帮助下,可较精确地反演干旱区表层土壤湿度信息,能够全天候、动态监测大空间尺度的土壤湿度变化,可为干旱区气候变化研究及陆面过程模拟和数据同化研究提供高精度的表层土壤湿度初始场资料。
英文摘要	Satellite passive microwave remote sensing provides a major basis for the analysis of temporal and spatial variation of top soil moisture at large scales. A global soil moisture data product is currently released by the National Aeronautics and Space Administration (NASA) of USA based on AMSR-E(the Advanced Microwave Scanning Radiometer for the Earth Observing System onboard the NASA EOS Aqua satellite) global dual-polarization brightness temperature observations of the Earth. But the accuracy of this soil moisture product is not satisfactory in arid Mongolian regions. Based on a simplified parameterization method for characterizing the effects of the sparse vegetation cover and surface roughness on surface microwave emission, the estimation of daytime (local noon) and nighttime (local midnight) top soil moisture during a near two-year period from October 1, 2005 to September 20, 2007 over the arid CEOP(The Coordinated Energy and Water Cycle Observations Project)-Mongolia experiment area was conducted based on a multifrequency algorithm by mainly using AMSR E 6.9 GHz, 10.7 GHz and 18.7 GHz vertical-polarized brightness temperature data. In the inversion model, the only model parameter asking for experimental calibration, i. e., the vegetation single scattering albedo, could be achieved through optimization technique by using in-situ soil moisture measurements. The results showed that the root mean square error (RMSE) between satellite estimated soil moisture and ground-measured soil moisture was close to 0. 030 cm~3/cm~3. Without other supplementary data else, the retrieval algorithm proposed in this paper may be applied to near real-time monitoring of the dynamic variation in top soil moisture at large scales, in an all-weather working manner, over arid and or semiarid environments characterized by natural sparse vegetation conditions. Therefore, it will be promising to provide sustaining and reliable initial near-surface soil moisture information for the long term study of climate change and water cycle over arid and or semiarid regions.
中文关键词	蒙古干旱区 ; 被动微波遥感 ; 简化参数方法 ; 土壤湿度
英文关键词	Mongolia arid regions Passive microwave remote sensing Simplified parameter method Soil moisture
语种	中文
国家	中国
收录类别	CSCD
WOS类目	METEOROLOGY ATMOSPHERIC SCIENCES
WOS研究方向	Meteorology & Atmospheric Sciences
CSCD记录号	CSCD:4456665
来源机构	兰州大学
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/227892
作者单位	1.兰州大学大气科学学院, 中国科学院寒旱区陆面过程与气候变化重点实验室, 兰州, 甘肃 730000, 中国; 2.兰州大学大气科学学院, 兰州, 甘肃 730000, 中国; 3.中国科学院寒旱区陆面过程与气候变化重点实验室, 中国科学院寒旱区陆面过程与气候变化重点实验室, 兰州, 甘肃 730000, 中国; 4.甘肃省气象局, 兰州, 甘肃 730000, 中国
推荐引用方式 GB/T 7714	田辉,王澄海,文军,等. 基于简化参数方法的蒙古干旱区土壤湿度被动微波遥感[J]. 兰州大学,2012,55(2):415-427.
APA	田辉,王澄海,文军,王欣,陆登荣,&吕少宁.(2012).基于简化参数方法的蒙古干旱区土壤湿度被动微波遥感.地球物理学报,55(2),415-427.
MLA	田辉,et al."基于简化参数方法的蒙古干旱区土壤湿度被动微波遥感".地球物理学报 55.2(2012):415-427.