QQ客服 官方微博 反馈留言

	ESTIMATING SOIL MOISTURE CONTENT USING GNSS-R TECHNIQUE BASED ON STATISTICS
	Peng, Xuefeng ; Chen, Xiuwan ; Xiao, Han ; Wan, Wei ; Yang, Ting ; Yang, Zhenyu
	2015
关键词	Global Positioning System bistatic radar soil moisture Gaussian distribution fitting GPS SIGNALS
英文摘要	More and More efforts have been made concerning the GNSS Reflectometry (GNSS-R) technique since GPS signals being found to be sensitive to geophysical properties, i.e., ocean surface roughness and soil moisture. Compared to airborne observations, ground-based research could focus on the models using the reflected GNSS signal, regardless of the atmospheric attenuation and the reflection zone's movement. Two ground-based GNSS-R experiments were conducted recently in Beijing. This paper proposes a statistical model based on least squares histogram fitting to process the acquired data. Although either the model error or the mismatching of the measuring depth could lead to the discrepancy between the estimated and in situ soil moisture, this approach can isolate the estimated values from different parts of the mixed surface and estimate soil moisture of a homogeneous surface more reasonably than the simply averaging method.; EI; CPCI-S(ISTP); 2004-2007; 2015-November
语种	英语
出处	2015 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS)
DOI标识	10.1109/IGARSS.2015.7326191
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/436500]
专题	地球与空间科学学院
推荐引用方式 GB/T 7714	Peng, Xuefeng,Chen, Xiuwan,Xiao, Han,et al. ESTIMATING SOIL MOISTURE CONTENT USING GNSS-R TECHNIQUE BASED ON STATISTICS. 2015-01-01.

个性服务

查看访问统计

相关权益政策

暂无数据

收藏/分享

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。