Active-Passive Disaggregation of Brightness Temperatures During the SMAPVEX12 Campaign
The goal of this study is to assess the performance of the active-passive disaggregation algorithm for the National Aeronautics and Space Administration Soil Moisture Active Passive (SMAP) mission using airborne observations from the Soil Moisture Active Passive Validation Experiment 2012 (SMAPVEX12...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Leroux, Delphine J [verfasserIn] |
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| Format: |
Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2016 |
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| Schlagwörter: |
brightness temperature disaggregation |
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| Übergeordnetes Werk: |
Enthalten in: IEEE transactions on geoscience and remote sensing - New York, NY : IEEE, 1964, 54(2016), 12, Seite 6859-6867 |
|---|---|
| Übergeordnetes Werk: |
volume:54 ; year:2016 ; number:12 ; pages:6859-6867 |
| Links: |
|---|
| DOI / URN: |
10.1109/TGRS.2016.2572107 |
|---|
| Katalog-ID: |
OLC1984600834 |
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| 520 | |a The goal of this study is to assess the performance of the active-passive disaggregation algorithm for the National Aeronautics and Space Administration Soil Moisture Active Passive (SMAP) mission using airborne observations from the Soil Moisture Active Passive Validation Experiment 2012 (SMAPVEX12). This algorithm disaggregates the whole domain resolution (around 30 km) radiometer brightness temperature (TB) using the 1.6-km-resolution radar backscatter <inline-formula> <tex-math notation="LaTeX">(\sigma^{o})</tex-math></inline-formula> observations (both acquired by the aircraft-based Passive Active L- and S-band Sensor), to a medium 6.4-km resolution. The parameters of the disaggregation method are affected by changes in soil and vegetation. Different time windows are studied to assess the best representation of the campaign vegetation growth and senescence processes. The algorithm performance is evaluated by comparing disaggregated and observed TB at the medium resolution. A minimum performance algorithm is also applied where the radar data are withheld. The minimum performance algorithm serves as a benchmark to assess the value of the radar to the SMAP active-passive algorithm. | ||
| 650 | 4 | |a Active–passive | |
| 650 | 4 | |a brightness temperature disaggregation | |
| 650 | 4 | |a Soil Moisture Active Passive (SMAP) | |
| 650 | 4 | |a Spaceborne radar | |
| 650 | 4 | |a Brightness temperature | |
| 650 | 4 | |a Vegetation mapping | |
| 650 | 4 | |a L-band | |
| 650 | 4 | |a Soil moisture | |
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| 700 | 1 | |a Njoku, Eni G |4 oth | |
| 700 | 1 | |a Dunbar, R. Scott |4 oth | |
| 700 | 1 | |a Yueh, Simon H |4 oth | |
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10.1109/TGRS.2016.2572107 doi PQ20161201 (DE-627)OLC1984600834 (DE-599)GBVOLC1984600834 (PRQ)c1312-52a26e5f4a2483c957e88fa285eced3bf2ac707437442f8ba0170d5ae663d0450 (KEY)0048677920160000054001206859activepassivedisaggregationofbrightnesstemperature DE-627 ger DE-627 rakwb eng 620 550 DNB Leroux, Delphine J verfasserin aut Active-Passive Disaggregation of Brightness Temperatures During the SMAPVEX12 Campaign 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier The goal of this study is to assess the performance of the active-passive disaggregation algorithm for the National Aeronautics and Space Administration Soil Moisture Active Passive (SMAP) mission using airborne observations from the Soil Moisture Active Passive Validation Experiment 2012 (SMAPVEX12). This algorithm disaggregates the whole domain resolution (around 30 km) radiometer brightness temperature (TB) using the 1.6-km-resolution radar backscatter <inline-formula> <tex-math notation="LaTeX">(\sigma^{o})</tex-math></inline-formula> observations (both acquired by the aircraft-based Passive Active L- and S-band Sensor), to a medium 6.4-km resolution. The parameters of the disaggregation method are affected by changes in soil and vegetation. Different time windows are studied to assess the best representation of the campaign vegetation growth and senescence processes. The algorithm performance is evaluated by comparing disaggregated and observed TB at the medium resolution. A minimum performance algorithm is also applied where the radar data are withheld. The minimum performance algorithm serves as a benchmark to assess the value of the radar to the SMAP active-passive algorithm. Active–passive brightness temperature disaggregation Soil Moisture Active Passive (SMAP) Spaceborne radar Brightness temperature Vegetation mapping L-band Soil moisture Das, Narendra Narayan oth Entekhabi, Dara oth Colliander, Andreas oth Njoku, Eni G oth Dunbar, R. Scott oth Yueh, Simon H oth Enthalten in IEEE transactions on geoscience and remote sensing New York, NY : IEEE, 1964 54(2016), 12, Seite 6859-6867 (DE-627)129601667 (DE-600)241439-9 (DE-576)015095282 0196-2892 nnns volume:54 year:2016 number:12 pages:6859-6867 http://dx.doi.org/10.1109/TGRS.2016.2572107 Volltext http://ieeexplore.ieee.org/document/7563428 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-ARC SSG-OLC-TEC SSG-OLC-GEO SSG-OLC-FOR SSG-OPC-GGO SSG-OPC-GEO GBV_ILN_70 AR 54 2016 12 6859-6867 |
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10.1109/TGRS.2016.2572107 doi PQ20161201 (DE-627)OLC1984600834 (DE-599)GBVOLC1984600834 (PRQ)c1312-52a26e5f4a2483c957e88fa285eced3bf2ac707437442f8ba0170d5ae663d0450 (KEY)0048677920160000054001206859activepassivedisaggregationofbrightnesstemperature DE-627 ger DE-627 rakwb eng 620 550 DNB Leroux, Delphine J verfasserin aut Active-Passive Disaggregation of Brightness Temperatures During the SMAPVEX12 Campaign 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier The goal of this study is to assess the performance of the active-passive disaggregation algorithm for the National Aeronautics and Space Administration Soil Moisture Active Passive (SMAP) mission using airborne observations from the Soil Moisture Active Passive Validation Experiment 2012 (SMAPVEX12). This algorithm disaggregates the whole domain resolution (around 30 km) radiometer brightness temperature (TB) using the 1.6-km-resolution radar backscatter <inline-formula> <tex-math notation="LaTeX">(\sigma^{o})</tex-math></inline-formula> observations (both acquired by the aircraft-based Passive Active L- and S-band Sensor), to a medium 6.4-km resolution. The parameters of the disaggregation method are affected by changes in soil and vegetation. Different time windows are studied to assess the best representation of the campaign vegetation growth and senescence processes. The algorithm performance is evaluated by comparing disaggregated and observed TB at the medium resolution. A minimum performance algorithm is also applied where the radar data are withheld. The minimum performance algorithm serves as a benchmark to assess the value of the radar to the SMAP active-passive algorithm. Active–passive brightness temperature disaggregation Soil Moisture Active Passive (SMAP) Spaceborne radar Brightness temperature Vegetation mapping L-band Soil moisture Das, Narendra Narayan oth Entekhabi, Dara oth Colliander, Andreas oth Njoku, Eni G oth Dunbar, R. Scott oth Yueh, Simon H oth Enthalten in IEEE transactions on geoscience and remote sensing New York, NY : IEEE, 1964 54(2016), 12, Seite 6859-6867 (DE-627)129601667 (DE-600)241439-9 (DE-576)015095282 0196-2892 nnns volume:54 year:2016 number:12 pages:6859-6867 http://dx.doi.org/10.1109/TGRS.2016.2572107 Volltext http://ieeexplore.ieee.org/document/7563428 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-ARC SSG-OLC-TEC SSG-OLC-GEO SSG-OLC-FOR SSG-OPC-GGO SSG-OPC-GEO GBV_ILN_70 AR 54 2016 12 6859-6867 |
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10.1109/TGRS.2016.2572107 doi PQ20161201 (DE-627)OLC1984600834 (DE-599)GBVOLC1984600834 (PRQ)c1312-52a26e5f4a2483c957e88fa285eced3bf2ac707437442f8ba0170d5ae663d0450 (KEY)0048677920160000054001206859activepassivedisaggregationofbrightnesstemperature DE-627 ger DE-627 rakwb eng 620 550 DNB Leroux, Delphine J verfasserin aut Active-Passive Disaggregation of Brightness Temperatures During the SMAPVEX12 Campaign 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier The goal of this study is to assess the performance of the active-passive disaggregation algorithm for the National Aeronautics and Space Administration Soil Moisture Active Passive (SMAP) mission using airborne observations from the Soil Moisture Active Passive Validation Experiment 2012 (SMAPVEX12). This algorithm disaggregates the whole domain resolution (around 30 km) radiometer brightness temperature (TB) using the 1.6-km-resolution radar backscatter <inline-formula> <tex-math notation="LaTeX">(\sigma^{o})</tex-math></inline-formula> observations (both acquired by the aircraft-based Passive Active L- and S-band Sensor), to a medium 6.4-km resolution. The parameters of the disaggregation method are affected by changes in soil and vegetation. Different time windows are studied to assess the best representation of the campaign vegetation growth and senescence processes. The algorithm performance is evaluated by comparing disaggregated and observed TB at the medium resolution. A minimum performance algorithm is also applied where the radar data are withheld. The minimum performance algorithm serves as a benchmark to assess the value of the radar to the SMAP active-passive algorithm. Active–passive brightness temperature disaggregation Soil Moisture Active Passive (SMAP) Spaceborne radar Brightness temperature Vegetation mapping L-band Soil moisture Das, Narendra Narayan oth Entekhabi, Dara oth Colliander, Andreas oth Njoku, Eni G oth Dunbar, R. Scott oth Yueh, Simon H oth Enthalten in IEEE transactions on geoscience and remote sensing New York, NY : IEEE, 1964 54(2016), 12, Seite 6859-6867 (DE-627)129601667 (DE-600)241439-9 (DE-576)015095282 0196-2892 nnns volume:54 year:2016 number:12 pages:6859-6867 http://dx.doi.org/10.1109/TGRS.2016.2572107 Volltext http://ieeexplore.ieee.org/document/7563428 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-ARC SSG-OLC-TEC SSG-OLC-GEO SSG-OLC-FOR SSG-OPC-GGO SSG-OPC-GEO GBV_ILN_70 AR 54 2016 12 6859-6867 |
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10.1109/TGRS.2016.2572107 doi PQ20161201 (DE-627)OLC1984600834 (DE-599)GBVOLC1984600834 (PRQ)c1312-52a26e5f4a2483c957e88fa285eced3bf2ac707437442f8ba0170d5ae663d0450 (KEY)0048677920160000054001206859activepassivedisaggregationofbrightnesstemperature DE-627 ger DE-627 rakwb eng 620 550 DNB Leroux, Delphine J verfasserin aut Active-Passive Disaggregation of Brightness Temperatures During the SMAPVEX12 Campaign 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier The goal of this study is to assess the performance of the active-passive disaggregation algorithm for the National Aeronautics and Space Administration Soil Moisture Active Passive (SMAP) mission using airborne observations from the Soil Moisture Active Passive Validation Experiment 2012 (SMAPVEX12). This algorithm disaggregates the whole domain resolution (around 30 km) radiometer brightness temperature (TB) using the 1.6-km-resolution radar backscatter <inline-formula> <tex-math notation="LaTeX">(\sigma^{o})</tex-math></inline-formula> observations (both acquired by the aircraft-based Passive Active L- and S-band Sensor), to a medium 6.4-km resolution. The parameters of the disaggregation method are affected by changes in soil and vegetation. Different time windows are studied to assess the best representation of the campaign vegetation growth and senescence processes. The algorithm performance is evaluated by comparing disaggregated and observed TB at the medium resolution. A minimum performance algorithm is also applied where the radar data are withheld. The minimum performance algorithm serves as a benchmark to assess the value of the radar to the SMAP active-passive algorithm. Active–passive brightness temperature disaggregation Soil Moisture Active Passive (SMAP) Spaceborne radar Brightness temperature Vegetation mapping L-band Soil moisture Das, Narendra Narayan oth Entekhabi, Dara oth Colliander, Andreas oth Njoku, Eni G oth Dunbar, R. Scott oth Yueh, Simon H oth Enthalten in IEEE transactions on geoscience and remote sensing New York, NY : IEEE, 1964 54(2016), 12, Seite 6859-6867 (DE-627)129601667 (DE-600)241439-9 (DE-576)015095282 0196-2892 nnns volume:54 year:2016 number:12 pages:6859-6867 http://dx.doi.org/10.1109/TGRS.2016.2572107 Volltext http://ieeexplore.ieee.org/document/7563428 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-ARC SSG-OLC-TEC SSG-OLC-GEO SSG-OLC-FOR SSG-OPC-GGO SSG-OPC-GEO GBV_ILN_70 AR 54 2016 12 6859-6867 |
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10.1109/TGRS.2016.2572107 doi PQ20161201 (DE-627)OLC1984600834 (DE-599)GBVOLC1984600834 (PRQ)c1312-52a26e5f4a2483c957e88fa285eced3bf2ac707437442f8ba0170d5ae663d0450 (KEY)0048677920160000054001206859activepassivedisaggregationofbrightnesstemperature DE-627 ger DE-627 rakwb eng 620 550 DNB Leroux, Delphine J verfasserin aut Active-Passive Disaggregation of Brightness Temperatures During the SMAPVEX12 Campaign 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier The goal of this study is to assess the performance of the active-passive disaggregation algorithm for the National Aeronautics and Space Administration Soil Moisture Active Passive (SMAP) mission using airborne observations from the Soil Moisture Active Passive Validation Experiment 2012 (SMAPVEX12). This algorithm disaggregates the whole domain resolution (around 30 km) radiometer brightness temperature (TB) using the 1.6-km-resolution radar backscatter <inline-formula> <tex-math notation="LaTeX">(\sigma^{o})</tex-math></inline-formula> observations (both acquired by the aircraft-based Passive Active L- and S-band Sensor), to a medium 6.4-km resolution. The parameters of the disaggregation method are affected by changes in soil and vegetation. Different time windows are studied to assess the best representation of the campaign vegetation growth and senescence processes. The algorithm performance is evaluated by comparing disaggregated and observed TB at the medium resolution. A minimum performance algorithm is also applied where the radar data are withheld. The minimum performance algorithm serves as a benchmark to assess the value of the radar to the SMAP active-passive algorithm. Active–passive brightness temperature disaggregation Soil Moisture Active Passive (SMAP) Spaceborne radar Brightness temperature Vegetation mapping L-band Soil moisture Das, Narendra Narayan oth Entekhabi, Dara oth Colliander, Andreas oth Njoku, Eni G oth Dunbar, R. Scott oth Yueh, Simon H oth Enthalten in IEEE transactions on geoscience and remote sensing New York, NY : IEEE, 1964 54(2016), 12, Seite 6859-6867 (DE-627)129601667 (DE-600)241439-9 (DE-576)015095282 0196-2892 nnns volume:54 year:2016 number:12 pages:6859-6867 http://dx.doi.org/10.1109/TGRS.2016.2572107 Volltext http://ieeexplore.ieee.org/document/7563428 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-ARC SSG-OLC-TEC SSG-OLC-GEO SSG-OLC-FOR SSG-OPC-GGO SSG-OPC-GEO GBV_ILN_70 AR 54 2016 12 6859-6867 |
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Leroux, Delphine J @@aut@@ Das, Narendra Narayan @@oth@@ Entekhabi, Dara @@oth@@ Colliander, Andreas @@oth@@ Njoku, Eni G @@oth@@ Dunbar, R. Scott @@oth@@ Yueh, Simon H @@oth@@ |
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Active-Passive Disaggregation of Brightness Temperatures During the SMAPVEX12 Campaign |
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The goal of this study is to assess the performance of the active-passive disaggregation algorithm for the National Aeronautics and Space Administration Soil Moisture Active Passive (SMAP) mission using airborne observations from the Soil Moisture Active Passive Validation Experiment 2012 (SMAPVEX12). This algorithm disaggregates the whole domain resolution (around 30 km) radiometer brightness temperature (TB) using the 1.6-km-resolution radar backscatter <inline-formula> <tex-math notation="LaTeX">(\sigma^{o})</tex-math></inline-formula> observations (both acquired by the aircraft-based Passive Active L- and S-band Sensor), to a medium 6.4-km resolution. The parameters of the disaggregation method are affected by changes in soil and vegetation. Different time windows are studied to assess the best representation of the campaign vegetation growth and senescence processes. The algorithm performance is evaluated by comparing disaggregated and observed TB at the medium resolution. A minimum performance algorithm is also applied where the radar data are withheld. The minimum performance algorithm serves as a benchmark to assess the value of the radar to the SMAP active-passive algorithm. |
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The goal of this study is to assess the performance of the active-passive disaggregation algorithm for the National Aeronautics and Space Administration Soil Moisture Active Passive (SMAP) mission using airborne observations from the Soil Moisture Active Passive Validation Experiment 2012 (SMAPVEX12). This algorithm disaggregates the whole domain resolution (around 30 km) radiometer brightness temperature (TB) using the 1.6-km-resolution radar backscatter <inline-formula> <tex-math notation="LaTeX">(\sigma^{o})</tex-math></inline-formula> observations (both acquired by the aircraft-based Passive Active L- and S-band Sensor), to a medium 6.4-km resolution. The parameters of the disaggregation method are affected by changes in soil and vegetation. Different time windows are studied to assess the best representation of the campaign vegetation growth and senescence processes. The algorithm performance is evaluated by comparing disaggregated and observed TB at the medium resolution. A minimum performance algorithm is also applied where the radar data are withheld. The minimum performance algorithm serves as a benchmark to assess the value of the radar to the SMAP active-passive algorithm. |
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The goal of this study is to assess the performance of the active-passive disaggregation algorithm for the National Aeronautics and Space Administration Soil Moisture Active Passive (SMAP) mission using airborne observations from the Soil Moisture Active Passive Validation Experiment 2012 (SMAPVEX12). This algorithm disaggregates the whole domain resolution (around 30 km) radiometer brightness temperature (TB) using the 1.6-km-resolution radar backscatter <inline-formula> <tex-math notation="LaTeX">(\sigma^{o})</tex-math></inline-formula> observations (both acquired by the aircraft-based Passive Active L- and S-band Sensor), to a medium 6.4-km resolution. The parameters of the disaggregation method are affected by changes in soil and vegetation. Different time windows are studied to assess the best representation of the campaign vegetation growth and senescence processes. The algorithm performance is evaluated by comparing disaggregated and observed TB at the medium resolution. A minimum performance algorithm is also applied where the radar data are withheld. The minimum performance algorithm serves as a benchmark to assess the value of the radar to the SMAP active-passive algorithm. |
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Active-Passive Disaggregation of Brightness Temperatures During the SMAPVEX12 Campaign |
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