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Sensors 2008, 8(4), 2617-2627; doi:10.3390/s8042617
Article

Temporal Variability Corrections for Advanced Microwave Scanning Radiometer E (AMSR-E) Surface Soil Moisture: Case Study in Little River Region, Georgia, U.S.

1,*  and 2
Received: 3 December 2007; Accepted: 8 April 2008 / Published: 14 April 2008
(This article belongs to the Special Issue Remote Sensing of Land Surface Properties, Patterns and Processes)
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Abstract: Statistical correction methods, the Cumulative Distribution Function (CDF) matching technique and Regional Statistics Method (RSM) are applied to adjust the limited temporal variability of Advanced Microwave Scanning Radiometer E (AMSR-E) data using the Common Land Model (CLM). The temporal variability adjustment between CLM and AMSR-E data was conducted for annual and seasonal periods for 2003 in the Little River region, GA. The results showed that the statistical correction techniques improved AMSR-E’s limited temporal variability as compared to ground-based measurements. The regression slope and intercept improved from 0.210 and 0.112 up to 0.971 and -0.005 for the non-growing season. The R2 values also modestly improved. The Moderate Resolution Imaging Spectroradiometer (MODIS) Leaf Area Index (LAI) products were able to identify periods having an attenuated microwave brightness signal that are not likely to benefit from these statistical correction techniques.
Keywords: Temporal variability; Statistical correction; Advanced Microwave Scanning Radiometer E (AMSR-E); Common Land Model (CLM); Leaf Area Index (LAI) Temporal variability; Statistical correction; Advanced Microwave Scanning Radiometer E (AMSR-E); Common Land Model (CLM); Leaf Area Index (LAI)
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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MDPI and ACS Style

Choi, M.; Jacobs, J.M. Temporal Variability Corrections for Advanced Microwave Scanning Radiometer E (AMSR-E) Surface Soil Moisture: Case Study in Little River Region, Georgia, U.S.. Sensors 2008, 8, 2617-2627.

AMA Style

Choi M, Jacobs JM. Temporal Variability Corrections for Advanced Microwave Scanning Radiometer E (AMSR-E) Surface Soil Moisture: Case Study in Little River Region, Georgia, U.S.. Sensors. 2008; 8(4):2617-2627.

Chicago/Turabian Style

Choi, Minha; Jacobs, Jennifer M. 2008. "Temporal Variability Corrections for Advanced Microwave Scanning Radiometer E (AMSR-E) Surface Soil Moisture: Case Study in Little River Region, Georgia, U.S.." Sensors 8, no. 4: 2617-2627.


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