NDLI: Near-surface soil moisture content measurement by GNSS reflectometry: An estimation model using calibrated GNSS signals

Content Provider	IEEE Xplore Digital Library
Author	Wei Wan Xiuwan Chen Limin Zhao Jundong Zhang Han Xiao
Copyright Year	2012
Description	Author affiliation: State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, 100101, China (Limin Zhao) \|\| Institute of Remote Sensing and GIS, Peking University, Beijing 100871, China (Wei Wan; Xiuwan Chen; Jundong Zhang; Han Xiao)
Abstract	The microwave signal of GNSS L band is very sensitive to the electromagnetic property of soil surface, through measuring the reflected electromagnetic energy from soil, the relationship between power of GNSS reflected signals and soil dielectric constant can be built, and then soil moisture can be estimated. In order to improve estimation accuracy, both the direct and reflected GNSS signals need to be calibrated to eliminate the signal error. A soil moisture estimation model utilizing calibrated GNSS L band reflected signals is proposed in this paper, and the estimation accuracy is validated using SMEX02 data. The error of areas with different NDVI is calculated. The error of soil moisture estimation is 7.04% for bare soil condition of the verify areas. It is shown that this model is suitable for bare soil condition or areas with low vegetation coverage. For further research, in the case of soil with high vegetation coverage, the model should be modified through adding the vegetation effect into it.
Starting Page	7523
Ending Page	7526
File Size	1984681
Page Count	4
File Format	PDF
ISBN	9781467311601
ISSN	21536996
e-ISBN	9781467311595
e-ISBN	9781467311588
DOI	10.1109/IGARSS.2012.6351891
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-07-22
Publisher Place	Germany
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Global Navigation Satellite Systems Estimation Soil moisture Vegetation mapping Reflectivity Soil measurements microwave remote sensing soil moisture bistatic radar calibration Global Positioning System
Content Type	Text
Resource Type	Article

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