Long-term Soil Moisture Time Series Analyses based on Active Microwave Backscatter Measurements
Active microwave sensors operating at lower microwave frequencies in the range from 1 to 10 GHz provide backscatter measurements that are sensitive to the moisture content of the soil. Thanks to a series of European C-band (5.3 GHz) scatterometers, which were first flown on board of the European Rem...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2015-04-01
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| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-7-W3/545/2015/isprsarchives-XL-7-W3-545-2015.pdf |
| _version_ | 1811276101662539776 |
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| author | W. Wagner C. Reimer B. Bauer-Marschallinger M. Enenkel S. Hahn T. Melzer V. Naeimi C. Paulik W. Dorigo |
| author_facet | W. Wagner C. Reimer B. Bauer-Marschallinger M. Enenkel S. Hahn T. Melzer V. Naeimi C. Paulik W. Dorigo |
| author_sort | W. Wagner |
| collection | DOAJ |
| description | Active microwave sensors operating at lower microwave frequencies in the range from 1 to 10 GHz provide backscatter
measurements that are sensitive to the moisture content of the soil. Thanks to a series of European C-band (5.3 GHz) scatterometers,
which were first flown on board of the European Remote Sensing satellites ERS-1 and ERS-2, and later on board of MetOp-A and
MetOp -B, we are now in the possession of a long-term soil moisture time series starting in 1991. The creation of globally consistent
long-term soil moisture time series is a challenging task. The TU-Wien soil moisture algorithm is adopted to tackle these challenges.
In this paper we present two methodologies that were developed to ensure radiometric stability of the European C-band
scatterometers. The objective of sensor intra-calibration is to monitor and correct for radiometric instabilities within one
scatterometer mission, while sensor inter-calibration aims to remove radiometric differences across several missions. In addition, a
novel vegetation modelling approach is presented that enables the estimation of vegetation parameters for each day across several
years to account for yearly to longer-term changes in vegetation phenology and land cover. |
| first_indexed | 2024-04-12T23:50:23Z |
| format | Article |
| id | doaj.art-96910914c24b49f4ba4b15695e3404b0 |
| institution | Directory Open Access Journal |
| issn | 1682-1750 2194-9034 |
| language | English |
| last_indexed | 2024-04-12T23:50:23Z |
| publishDate | 2015-04-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| spelling | doaj.art-96910914c24b49f4ba4b15695e3404b02022-12-22T03:11:43ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342015-04-01XL-7/W354555010.5194/isprsarchives-XL-7-W3-545-2015Long-term Soil Moisture Time Series Analyses based on Active Microwave Backscatter MeasurementsW. Wagner0C. Reimer1B. Bauer-Marschallinger2M. Enenkel3S. Hahn4T. Melzer5V. Naeimi6C. Paulik7W. Dorigo8Vienna University of Technology, Department of Geodesy and Geoinformation, Vienna, AustriaVienna University of Technology, Department of Geodesy and Geoinformation, Vienna, AustriaVienna University of Technology, Department of Geodesy and Geoinformation, Vienna, AustriaVienna University of Technology, Department of Geodesy and Geoinformation, Vienna, AustriaVienna University of Technology, Department of Geodesy and Geoinformation, Vienna, AustriaVienna University of Technology, Department of Geodesy and Geoinformation, Vienna, AustriaVienna University of Technology, Department of Geodesy and Geoinformation, Vienna, AustriaVienna University of Technology, Department of Geodesy and Geoinformation, Vienna, AustriaVienna University of Technology, Department of Geodesy and Geoinformation, Vienna, AustriaActive microwave sensors operating at lower microwave frequencies in the range from 1 to 10 GHz provide backscatter measurements that are sensitive to the moisture content of the soil. Thanks to a series of European C-band (5.3 GHz) scatterometers, which were first flown on board of the European Remote Sensing satellites ERS-1 and ERS-2, and later on board of MetOp-A and MetOp -B, we are now in the possession of a long-term soil moisture time series starting in 1991. The creation of globally consistent long-term soil moisture time series is a challenging task. The TU-Wien soil moisture algorithm is adopted to tackle these challenges. In this paper we present two methodologies that were developed to ensure radiometric stability of the European C-band scatterometers. The objective of sensor intra-calibration is to monitor and correct for radiometric instabilities within one scatterometer mission, while sensor inter-calibration aims to remove radiometric differences across several missions. In addition, a novel vegetation modelling approach is presented that enables the estimation of vegetation parameters for each day across several years to account for yearly to longer-term changes in vegetation phenology and land cover.http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-7-W3/545/2015/isprsarchives-XL-7-W3-545-2015.pdf |
| spellingShingle | W. Wagner C. Reimer B. Bauer-Marschallinger M. Enenkel S. Hahn T. Melzer V. Naeimi C. Paulik W. Dorigo Long-term Soil Moisture Time Series Analyses based on Active Microwave Backscatter Measurements The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| title | Long-term Soil Moisture Time Series Analyses based on Active Microwave Backscatter Measurements |
| title_full | Long-term Soil Moisture Time Series Analyses based on Active Microwave Backscatter Measurements |
| title_fullStr | Long-term Soil Moisture Time Series Analyses based on Active Microwave Backscatter Measurements |
| title_full_unstemmed | Long-term Soil Moisture Time Series Analyses based on Active Microwave Backscatter Measurements |
| title_short | Long-term Soil Moisture Time Series Analyses based on Active Microwave Backscatter Measurements |
| title_sort | long term soil moisture time series analyses based on active microwave backscatter measurements |
| url | http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-7-W3/545/2015/isprsarchives-XL-7-W3-545-2015.pdf |
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