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 |
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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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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.</description><identifier>ISSN: 1545-598X</identifier><identifier>EISSN: 1558-0571</identifier><identifier>DOI: 10.1109/LGRS.2009.2021492</identifier><identifier>CODEN: IGRSBY</identifier><language>eng</language><publisher>Piscataway: IEEE</publisher><subject>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</subject><ispartof>IEEE geoscience and remote sensing letters, 2009-10, Vol.6 (4), p.640-643</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. 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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.</description><subject>Advanced Microwave Scanning Radiometer (AMSR-E)</subject><subject>Australia</subject><subject>Backscatter</subject><subject>L-band</subject><subject>Microwave radiometry</subject><subject>Moisture measurement</subject><subject>National Airborne Field Experiment 2006 (NAFE'06)</subject><subject>Pattern analysis</subject><subject>QuikSCAT</subject><subject>Radar measurements</subject><subject>Soil measurements</subject><subject>Soil moisture</subject><subject>temporal change detection</subject><subject>Testing</subject><issn>1545-598X</issn><issn>1558-0571</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2009</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNp9kU1LxDAQhosouH78APESPOipmqRJkxzX9RNXRKvgraTtBLLuNmuSCv57s-ziwYOXmTk87wvDk2VHBJ8TgtXF9PalOqcYqzQoYYpuZSPCucwxF2R7dTOecyXfd7O9EGYYUyalGGUv4x6NQ4AQFtBH5Ax6HuxHNRm_oochv9R9h6pWxwjeLSBNdKWjRsZ5VDk7R4_Ohjh4QBX0wUb7ZeP3QbZj9DzA4WbvZ28316-Tu3z6dHs_GU9zzSiJeWcUZ5IaaljLwWjdSN6atpWd7pQWEjSVxmBSCtEIaBvclMJgqhLYNaY0xX52tu5devc5QIj1woYW5nPdgxtCLUvFFSt4kcjTf0lKKMOyxAk8-QPO3OD79EVqI6IgjNIEkTXUeheCB1MvvV1o_10TXK9k1CsZ9UpGvZGRMsfrjAWAX55jQSiWxQ-GMoZJ</recordid><startdate>20091001</startdate><enddate>20091001</enddate><creator>Mladenova, I.</creator><creator>Lakshmi, V.</creator><creator>Walker, J.P.</creator><creator>Long, D.G.</creator><creator>De Jeu, R.</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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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.</abstract><cop>Piscataway</cop><pub>IEEE</pub><doi>10.1109/LGRS.2009.2021492</doi><tpages>4</tpages><oa>free_for_read</oa></addata></record> |
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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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