NDLI: Soil Moisture Estimates From AMSR-E Brightness Temperatures by Using a Dual-Frequency Algorithm

Content Provider	IEEE Xplore Digital Library
Author	Paloscia, S. Macelloni, G. Santi, E.
Copyright Year	1980
Abstract	This paper investigates the possibility of estimating the soil moisture content (SMC) on a global scale from dual-frequency (C- and X-bands) microwave data of the Advanced Microwave Scanning Radiometer for the Earth Observing System (AMSR-E). Because some anomalous behavior was occasionally found in AMSR-E C- and X-band data, a calibration check compared the AMSR-E data with measurements from the SSM/I sensor over two reference targets, namely a Russian evergreen forest and the sea surface, both of which have already been studied in the past. The algorithm for retrieving soil moisture uses both the brightness temperature at C-band in horizontal polarization and the polarization index at X-band for correcting the effects of vegetation. This algorithm is based on a simplified radiative transfer (tau-omega) model, which has been inverted by using the Nelder-Mead iterative minimization method. The algorithm was validated with microwave data collected on two sites during the Microwave Alpine Soil Moisture Experiment 2002 (MASMEx02) and the Soil Moisture Experiment 2002 (SMEX02), respectively. The first site, in Italy, was characterized by natural vegetation covers, whereas the second site, in Iowa (U.S.), was covered primarily in agricultural crops. In general, the soil moisture estimated by the algorithm from AMSR-E data and the SMC measured on the ground were in good agreement with each other in both sites, and five classes of soil moisture were easily identified
Sponsorship	IEEE Geoscience and Remote Sensing Society IEEE URSI
Starting Page	3135
Ending Page	3144
Page Count	10
File Size	430512
File Format	PDF
ISSN	01962892
Volume Number	44
Issue Number	11
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-11-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Soil moisture Brightness temperature Iterative algorithms Sliding mode control Sea measurements Soil measurements Polarization Vegetation Microwave radiometry Earth Observing System tau–omega model Advanced Microwave Scanning Radiometer for the Earth Observing System (AMSR-E) AMSR-E brightness temperatures C- and X-band emission polarization index (PI) soil moisture content (SMC) retrieval
Content Type	Text
Resource Type	Article
Subject	Earth and Planetary Sciences Electrical and Electronic Engineering

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Polarimetric scanning radiometer C- and X-band microwave observations during SMEX03

Passive Microwave Remote Sensing of Soil Moisture Based on Dynamic Vegetation Scattering Properties for AMSR-E

Validation of Advanced Microwave Scanning Radiometer Soil Moisture Products

Optimal Exploitation of AMSR-E Signals for Improving Soil Moisture Estimation Through Land Data Assimilation

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Satellite Microwave Remote Sensing of Boreal and Arctic Soil Temperatures From AMSR-E

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Improved Physically Based Oceanic Rainfall Algorithm From AMSR-E Data

A Method to Rebuild Historical Satellite-Derived Soil Moisture Products Based on Retrievals from Current L-Band Satellite Missions

Soil Moisture Estimates From AMSR-E Brightness Temperatures by Using a Dual-Frequency Algorithm

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