An Assessment of QuikSCAT Ku-Band Scatterometer Data for Soil Moisture Sensitivity

The QuikSCAT enhanced (2.225-km) backscattering product is investigated for sensitivity to changes in soil moisture and its potential for spatial disaggregation of Advanced Microwave Scanning Radiometer (AMSR-E) soil moisture. Specifically, an active-passive methodology based on temporal change dete...

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Veröffentlicht in:IEEE geoscience and remote sensing letters 2009-10, Vol.6 (4), p.640-643
Hauptverfasser: Mladenova, I., Lakshmi, V., Walker, J.P., Long, D.G., De Jeu, R.
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creator Mladenova, I.
Lakshmi, V.
Walker, J.P.
Long, D.G.
De Jeu, R.
description The QuikSCAT enhanced (2.225-km) backscattering product is investigated for sensitivity to changes in soil moisture and its potential for spatial disaggregation of Advanced Microwave Scanning Radiometer (AMSR-E) soil moisture. Specifically, an active-passive methodology based on temporal change detection is tested using data from the 2006 National Airborne Field Experiment data set. This campaign was carried out from October 29 to November 20, 2006 in a 60 km times 40 km area of the Murrumbidgee catchment, southeast Australia. Temporal change detection analysis and accuracy in terms of spatial pattern distribution throughout the domain were assessed using a passive microwave airborne product derived from the Polarimetric L-band Multibeam Radiometer at 1-km spatial resolution. QuikSCAT-AMSR-E intercomparisons indicated higher correlations when using C-band observations. The greatest sensitivity to soil moisture was observed when using V-polarized backscatter measurement. While backscattering data showed adequate temporal sensitivity to changes in soil moisture due to precipitation events, the spatial agreement was complicated by the presence of irrigation and standing water (rice fields). This resulted in low Cramer's Phi values (less than 0.06), which were used as a measure of spatial correspondence in terms of change in soil moisture and backscatter. In addition, the high QuikSCAT sensor frequency and existence of noise in the observed data contributed to the observed discrepancies.
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source IEEE Electronic Library (IEL)
subjects Advanced Microwave Scanning Radiometer (AMSR-E)
Australia
Backscatter
L-band
Microwave radiometry
Moisture measurement
National Airborne Field Experiment 2006 (NAFE'06)
Pattern analysis
QuikSCAT
Radar measurements
Soil measurements
Soil moisture
temporal change detection
Testing
title An Assessment of QuikSCAT Ku-Band Scatterometer Data for Soil Moisture Sensitivity
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