Deriving soil moisture with the combined L-band radar and radiometer measurements
In this study, we develop a combined active/passive technique to estimate surface soil moisture with the focus on the short vegetated surfaces. We first simulated a database for both active and passive signals under SMAP's sensor configurations using the radiative transfer model with a wide ran...
| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | en_US |
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Institute of Electrical and Electronics Engineers
2011
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| Online Access: | http://hdl.handle.net/1721.1/66988 https://orcid.org/0000-0002-8362-4761 |
| _version_ | 1811079341813006336 |
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| author | Shi, Jiancheng Chen, K. S. Tsang, L. Jackson, Thomas J. Njoku, Eni G. Van Zyl, J. O'Neill, Peggy E. Entekhabi, Dara Johnson, J. Moghaddam, Mahta |
| author2 | Massachusetts Institute of Technology. Department of Civil and Environmental Engineering |
| author_facet | Massachusetts Institute of Technology. Department of Civil and Environmental Engineering Shi, Jiancheng Chen, K. S. Tsang, L. Jackson, Thomas J. Njoku, Eni G. Van Zyl, J. O'Neill, Peggy E. Entekhabi, Dara Johnson, J. Moghaddam, Mahta |
| author_sort | Shi, Jiancheng |
| collection | MIT |
| description | In this study, we develop a combined active/passive technique to estimate surface soil moisture with the focus on the short vegetated surfaces. We first simulated a database for both active and passive signals under SMAP's sensor configurations using the radiative transfer model with a wide range of conditions for surface soil moisture, roughness and vegetation properties that we considered as the random orientated disks and cylinders. Using this database, we developed 1) the techniques to estimate surface backscattering and emission components and 2) the technique to estimate soil moisture with the estimated surface backscattering and emission components. We will demonstrate these techniques with the model simulated data and its validation with the airborne PALS image data from the soil moisture SGP'99 and SMEX'02 experiments. |
| first_indexed | 2024-09-23T11:13:40Z |
| format | Article |
| id | mit-1721.1/66988 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T11:13:40Z |
| publishDate | 2011 |
| publisher | Institute of Electrical and Electronics Engineers |
| record_format | dspace |
| spelling | mit-1721.1/669882022-09-27T17:59:09Z Deriving soil moisture with the combined L-band radar and radiometer measurements Shi, Jiancheng Chen, K. S. Tsang, L. Jackson, Thomas J. Njoku, Eni G. Van Zyl, J. O'Neill, Peggy E. Entekhabi, Dara Johnson, J. Moghaddam, Mahta Massachusetts Institute of Technology. Department of Civil and Environmental Engineering Entekhabi, Dara Entekhabi, Dara In this study, we develop a combined active/passive technique to estimate surface soil moisture with the focus on the short vegetated surfaces. We first simulated a database for both active and passive signals under SMAP's sensor configurations using the radiative transfer model with a wide range of conditions for surface soil moisture, roughness and vegetation properties that we considered as the random orientated disks and cylinders. Using this database, we developed 1) the techniques to estimate surface backscattering and emission components and 2) the technique to estimate soil moisture with the estimated surface backscattering and emission components. We will demonstrate these techniques with the model simulated data and its validation with the airborne PALS image data from the soil moisture SGP'99 and SMEX'02 experiments. 2011-11-09T21:48:56Z 2011-11-09T21:48:56Z 2010-12 2010-07 Article http://purl.org/eprint/type/ConferencePaper 978-1-4244-9566-5 978-1-4244-9565-8 978-1-4244-9564-1 2153-6996 INSPEC Accession Number: 11686025 http://hdl.handle.net/1721.1/66988 Jiancheng Shi et al. “Deriving soil moisture with the combined L-band radar and radiometer measurements.” Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International. 2010. 812-815.© 2011 IEEE. https://orcid.org/0000-0002-8362-4761 en_US http://dx.doi.org/10.1109/IGARSS.2010.5652424 Proceedings of the 2010 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. application/pdf Institute of Electrical and Electronics Engineers IEEE |
| spellingShingle | Shi, Jiancheng Chen, K. S. Tsang, L. Jackson, Thomas J. Njoku, Eni G. Van Zyl, J. O'Neill, Peggy E. Entekhabi, Dara Johnson, J. Moghaddam, Mahta Deriving soil moisture with the combined L-band radar and radiometer measurements |
| title | Deriving soil moisture with the combined L-band radar and radiometer measurements |
| title_full | Deriving soil moisture with the combined L-band radar and radiometer measurements |
| title_fullStr | Deriving soil moisture with the combined L-band radar and radiometer measurements |
| title_full_unstemmed | Deriving soil moisture with the combined L-band radar and radiometer measurements |
| title_short | Deriving soil moisture with the combined L-band radar and radiometer measurements |
| title_sort | deriving soil moisture with the combined l band radar and radiometer measurements |
| url | http://hdl.handle.net/1721.1/66988 https://orcid.org/0000-0002-8362-4761 |
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