NDLI: An Improved Soil Moisture Retrieval Algorithm for ERS and METOP Scatterometer Observations

Content Provider	IEEE Xplore Digital Library
Author	Naeimi, V. Scipal, K. Bartalis, Z. Hasenauer, S. Wagner, W.
Copyright Year	1980
Abstract	The scatterometers onboard the European Remote Sensing satellites (ERS-1 & ERS-2) and the METeorological OPerational satellite (METOP) have been shown to be useful for surface soil moisture retrieval using the so-called TU-Wien change detection method. This paper presents an improved soil moisture retrieval algorithm based on the existing TU-Wien method but with new parameterization as well as a series of modifications. The new algorithm, WAter Retrieval Package 5 (WARP5), copes with some limitations identified in the earlier method WARP4 and provides the possibility of migrating soil moisture retrieval from ERS-SCAT to METOP-ASCAT data. The WARP5 algorithm results in a more robust and spatially uniform soil moisture product, thanks to its new processing elements, including a method for the correction of azimuthal anisotropy of backscatter, a comprehensive noise model, and new techniques for calculation of the model parameters. Cross-comparisons of WARP4 and WARP5 data sets with the Oklahoma Mesonet in situ observations and also with European Centre of Medium Range Weather Forecast (ECMWF) ReAnalysis (ERA-Interim) global modeled data show that the new algorithm has a better performance and effectively corrects retrieval errors in certain areas.
Sponsorship	IEEE Geoscience and Remote Sensing Society IEEE URSI
Starting Page	1999
Ending Page	2013
Page Count	15
File Size	2436166
File Format	PDF
ISSN	01962892
Volume Number	47
Issue Number	7
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-07-01
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 Radar measurements Change detection algorithms Information retrieval Satellites Weather forecasting Remote sensing Meteorology Surface soil Packaging soil moisture European Remote Sensing satellite (ERS) METeorological OPerational satellite (METOP) scatterometer
Content Type	Text
Resource Type	Article
Subject	Earth and Planetary Sciences Electrical and Electronic Engineering

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