NDLI: An approach for surface soil moisture retrieval using microwave vegetation indices based on SMOS data

Content Provider	IEEE Xplore Digital Library
Author	Qian Cui Jiancheng Shi Tianjie Zhao Qiang Liu
Copyright Year	2013
Description	Author affiliation: Inst. of Remote Sensing Applic., Beijing, China (Qian Cui; Jiancheng Shi; Tianjie Zhao; Qiang Liu)
Abstract	An approach for retrieving surface soil moisture using microwave vegetation indices (MVIs) based on SMOS data is presented in this paper. The vegetation optical depth is analytically derived from simplified multi-angular MVIs and the soil dielectric constant to correct the vegetation effect. By minimizing the difference between modeled and observed brightness temperature at six different fixed angles, the only unknown soil moisture can be retrieved. Validations using ground measured soil moisture from Yanco study area in Australia indicated that this new approach improve the accuracy of SMOS L2 soil moisture products, with the RMSE increased from 0.072(m3/m3) to 0.053(m3/m3) and the correlation coefficients increased from 0.690 to 0.696.
Sponsorship	IEEE Geosci. Remote Sens. Soc.
Starting Page	2692
Ending Page	2695
File Size	452137
Page Count	4
File Format	PDF
ISBN	9781479911141
ISSN	21536996
DOI	10.1109/IGARSS.2013.6723378
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-07-21
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Soil moisture Microwave radiometry Vegetation mapping Microwave theory and techniques Brightness temperature Optical polarization SMOS MVIs passive microwave soil moisture
Content Type	Text
Resource Type	Article

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