Comprehensive analysis of alternative downscaled soil moisture products
Recent advances in L-band passive microwave remote sensing provide an unprecedented opportunity to monitor soil moisture at ~40 km spatial resolution around the globe. Nevertheless, retrieval of the accurate high spatial resolution soil moisture maps that are required to satisfy hydro-meteorological...
| Main Authors: | , , , , , , , , , , , , , , , , , , , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
Elsevier BV
2020
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| Online Access: | https://hdl.handle.net/1721.1/125718 |
| _version_ | 1811091638137651200 |
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| author | Sabaghy, Sabah Walker, Jeffrey P. Renzullo, Luigi J. Akbar, Ruzbeh Chan, Steven Chaubell, Julian Das, Narendra Dunbar, R. Scott Entekhabi, Dara Gevaert, Anouk Jackson, Thomas J. Loew, Alexander Merlin, Olivier Moghaddam, Mahta Peng, Jian Peng, Jinzheng Piepmeier, Jeffrey Rüdiger, Christoph Stefan, Vivien Wu, Xiaoling Ye, Nan Yueh, Simon |
| author2 | Massachusetts Institute of Technology. Department of Civil and Environmental Engineering |
| author_facet | Massachusetts Institute of Technology. Department of Civil and Environmental Engineering Sabaghy, Sabah Walker, Jeffrey P. Renzullo, Luigi J. Akbar, Ruzbeh Chan, Steven Chaubell, Julian Das, Narendra Dunbar, R. Scott Entekhabi, Dara Gevaert, Anouk Jackson, Thomas J. Loew, Alexander Merlin, Olivier Moghaddam, Mahta Peng, Jian Peng, Jinzheng Piepmeier, Jeffrey Rüdiger, Christoph Stefan, Vivien Wu, Xiaoling Ye, Nan Yueh, Simon |
| author_sort | Sabaghy, Sabah |
| collection | MIT |
| description | Recent advances in L-band passive microwave remote sensing provide an unprecedented opportunity to monitor soil moisture at ~40 km spatial resolution around the globe. Nevertheless, retrieval of the accurate high spatial resolution soil moisture maps that are required to satisfy hydro-meteorological and agricultural applications remains a challenge. Currently, a variety of downscaling, otherwise known as disaggregation techniques have been proposed as the solution to disaggregate the coarse passive microwave soil moisture into high-to-medium resolutions. These techniques take advantage of the strengths of both the passive microwave observations of soil moisture having low spatial resolution and the spatially detailed information on land surface features that either influence or represent soil moisture variability. However, such techniques have typically been developed and tested individually under differing weather and climate conditions, meaning that there is no clear guidance on which technique performs the best. Consequently, this paper presents a quantitative assessment of the existing radar-, optical-, radiometer-, and oversampling-based downscaling techniques using a singular extensive data set collected specifically for that purpose, being the Soil Moisture Active Passive Experiment (SMAPEx)-4 and -5 airborne field campaigns, and the OzNet in situ stations, to determine the relative strengths and weaknesses of their performances. The oversampling-based soil moisture product best captured the temporal and spatial variability of the reference soil moisture overall, though the radar-based products had a better temporal agreement with airborne soil moisture during the short SMAPEx-4 period. Moreover, the difference between temporal analysis of products against in situ and airborne soil moisture reference data sets pointed to the fact that relying on in situ measurements alone is not appropriate for validation of spatially enhanced soil moisture maps. |
| first_indexed | 2024-09-23T15:05:33Z |
| format | Article |
| id | mit-1721.1/125718 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2024-09-23T15:05:33Z |
| publishDate | 2020 |
| publisher | Elsevier BV |
| record_format | dspace |
| spelling | mit-1721.1/1257182022-09-29T12:39:12Z Comprehensive analysis of alternative downscaled soil moisture products Sabaghy, Sabah Walker, Jeffrey P. Renzullo, Luigi J. Akbar, Ruzbeh Chan, Steven Chaubell, Julian Das, Narendra Dunbar, R. Scott Entekhabi, Dara Gevaert, Anouk Jackson, Thomas J. Loew, Alexander Merlin, Olivier Moghaddam, Mahta Peng, Jian Peng, Jinzheng Piepmeier, Jeffrey Rüdiger, Christoph Stefan, Vivien Wu, Xiaoling Ye, Nan Yueh, Simon Massachusetts Institute of Technology. Department of Civil and Environmental Engineering Recent advances in L-band passive microwave remote sensing provide an unprecedented opportunity to monitor soil moisture at ~40 km spatial resolution around the globe. Nevertheless, retrieval of the accurate high spatial resolution soil moisture maps that are required to satisfy hydro-meteorological and agricultural applications remains a challenge. Currently, a variety of downscaling, otherwise known as disaggregation techniques have been proposed as the solution to disaggregate the coarse passive microwave soil moisture into high-to-medium resolutions. These techniques take advantage of the strengths of both the passive microwave observations of soil moisture having low spatial resolution and the spatially detailed information on land surface features that either influence or represent soil moisture variability. However, such techniques have typically been developed and tested individually under differing weather and climate conditions, meaning that there is no clear guidance on which technique performs the best. Consequently, this paper presents a quantitative assessment of the existing radar-, optical-, radiometer-, and oversampling-based downscaling techniques using a singular extensive data set collected specifically for that purpose, being the Soil Moisture Active Passive Experiment (SMAPEx)-4 and -5 airborne field campaigns, and the OzNet in situ stations, to determine the relative strengths and weaknesses of their performances. The oversampling-based soil moisture product best captured the temporal and spatial variability of the reference soil moisture overall, though the radar-based products had a better temporal agreement with airborne soil moisture during the short SMAPEx-4 period. Moreover, the difference between temporal analysis of products against in situ and airborne soil moisture reference data sets pointed to the fact that relying on in situ measurements alone is not appropriate for validation of spatially enhanced soil moisture maps. ARC Discovery Project (MoistureMonitor, DP140100572) and Infrastructure grant (LE0453434) 2020-06-08T20:06:52Z 2020-06-08T20:06:52Z 2020-01 2019-11 2020-05-26T20:03:35Z Article http://purl.org/eprint/type/JournalArticle 0034-4257 https://hdl.handle.net/1721.1/125718 Sabaghy, Sabah, et al. "Comprehensive analysis of alternative downscaled soil moisture products." Remote Sensing of Environment, 239 (March 2020): 111586. en http://dx.doi.org/10.1016/j.rse.2019.111586 Remote Sensing of Environment Creative Commons Attribution-NonCommercial-NoDerivs License http://creativecommons.org/licenses/by-nc-nd/4.0/ application/pdf Elsevier BV Other repository |
| spellingShingle | Sabaghy, Sabah Walker, Jeffrey P. Renzullo, Luigi J. Akbar, Ruzbeh Chan, Steven Chaubell, Julian Das, Narendra Dunbar, R. Scott Entekhabi, Dara Gevaert, Anouk Jackson, Thomas J. Loew, Alexander Merlin, Olivier Moghaddam, Mahta Peng, Jian Peng, Jinzheng Piepmeier, Jeffrey Rüdiger, Christoph Stefan, Vivien Wu, Xiaoling Ye, Nan Yueh, Simon Comprehensive analysis of alternative downscaled soil moisture products |
| title | Comprehensive analysis of alternative downscaled soil moisture products |
| title_full | Comprehensive analysis of alternative downscaled soil moisture products |
| title_fullStr | Comprehensive analysis of alternative downscaled soil moisture products |
| title_full_unstemmed | Comprehensive analysis of alternative downscaled soil moisture products |
| title_short | Comprehensive analysis of alternative downscaled soil moisture products |
| title_sort | comprehensive analysis of alternative downscaled soil moisture products |
| url | https://hdl.handle.net/1721.1/125718 |
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