NDLI: Development of microwave vegetation index from multi-sensor observations

Content Provider	IEEE Xplore Digital Library
Author	Jiancheng Shi Yunqing Li
Copyright Year	2013
Description	Author affiliation: State Key Lab. of Remote Sensing Sci., Beijing Normal Univ., Beijing, China (Jiancheng Shi; Yunqing Li)
Abstract	Microwave Vegetation Indices(MVIs) are newly developed vegetation indices using microwave remote sensing data (SMOS, WindSat, and AMSR-E, respectively). SMOS operates at L-band, in dual polarization and a range of viewing angles. WindSat is a satellite-based multi-frequency and multi-angle polarimetric microwave radiometer with the same transit time as SMOS. Establishing a synergetic vegetation index with WindSat and SMOS data will provide multi-angle and multi-frequency information in vegetation monitoring. As the deducations of previous indices are based on single senor configuration, it is necessary to demonstrate the applicability of the synergy for these two sensors. From the previous research, we found that bare soil emissivities at adjacent frequencies or angles exhibited a good linear relationship under Gaussian correlation function. Whether this relationship exists for L-band and C-band and for Exponential correlation function has to be deeply explored. With this objective, we have built a simulation database using the Advanced Integral Equation Model (AIEM) at L-band (SMOS, 1.4GHz, multi-angle) and C-band ( WindSat, 6.8GHz, 53.5°) in dual-polarization (v and h), respectively. The relationships of the surface emissivities are significantly different, while the fresnel reflectivity exhibits linear relationship. Hence, we consider using fresnel reflectivity to establish the bridge between different sensors. The radiation of vegetated land surface can be described by a 0th-order radiative transfer model. The total emission from ground can be rearranged into a linear model with the vegetation emission component as the intercept and the vegetation transmission component as the slope. With this linear relationship, the Fresnel reflectivity at one frequency can be expressed as a linear function of that at another frequency. And the intercept and the slope are the newly derived vegetation indices. They are mainly affected by vegetation properties and have a consistent spatial pattern with NDVI.
Sponsorship	IEEE Geosci. Remote Sens. Soc.
Starting Page	3825
Ending Page	3828
File Size	490386
Page Count	4
File Format	PDF
ISBN	9781479911141
ISSN	21536996
DOI	10.1109/IGARSS.2013.6723665
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	Vegetation mapping Microwave radiometry Indexes Soil Reflectivity Remote sensing L-band WindSat Microwave Vegetation Index SMOS
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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