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- Author:
- M.H. Cosh, et al. ; Cosh Michael H.; Y. Gao; A. Colliander; M.S. Burgin; J.P. Walker; E. Dinnat; C. Chae; T.G. Caldwell; A. Berg; J. Martinez-Fernandez; M. Seyfried; P.J. Starks; D.D. Bosch; H. McNairn; Z. Su; R. van der Velde; Show all 17 Authors
- Source:
- Remote sensing of environment 2022 v.279 pp. 113113
- ISSN:
- 0034-4257
- Subject:
- algorithms; environment; land cover; microwave radiometers; models; roughness; satellites; soil water; temperature; time series analysis
- Abstract:
- ... L-band brightness temperature (TB) has been shown to provide the best sensitivity to soil moisture (SM) although C- and X-band based products offer a longer time-series from satellite-based measurements. Currently, global coverage SM is routinely produced from spaceborne measurements using all three frequency bands, but despite continued validation efforts of the products, the relative characteris ...
- Handle:
- 10113/7804738
- DOI:
- 10.1016/j.rse.2022.113113
- https://doi.org/10.1016/j.rse.2022.113113
- Author:
- M.H. Cosh, et al. ; B. Molero; O. Merlin; Y. Malbéteau; A. Al Bitar; F. Cabot; V. Stefan; Y. Kerr; S. Bacon; R. Bindlish; T.J. Jackson; Show all 11 Authors
- Source:
- Remote sensing of environment 2016 v.180 pp. 361-376
- ISSN:
- 0034-4257
- Subject:
- Soil Moisture and Ocean Salinity satellite; algorithms; basins; floods; irrigation; landscapes; models; monitoring; remote sensing; semiarid zones; soil water; summer; watersheds; Australia; United States
- Abstract:
- ... The SMOS (Soil Moisture and Ocean Salinity) mission provides surface soil moisture (SM) maps at a mean resolution of ~50km. However, agricultural applications (irrigation, crop monitoring) and some hydrological applications (floods and modeling of small basins) require higher resolution SM information. In order to overcome this spatial mismatch, a disaggregation algorithm called Disaggregation bas ...
- DOI:
- 10.1016/j.rse.2016.02.045
- https://doi.org/10.1016/j.rse.2016.02.045
- Author:
- M.H. Cosh, et al. ; I.E. Mladenova; T.J. Jackson; E. Njoku; R. Bindlish; S. Chan; T.R.H. Holmes; R.A.M. de Jeu; L. Jones; J. Kimball; S. Paloscia; E. Santi; Show all 12 Authors
- Source:
- Remote sensing of environment 2014 v.144 pp. 197-213
- ISSN:
- 0034-4257
- Subject:
- accuracy; algorithms; data collection; environmental monitoring; equations; microwave radiation; microwave radiometers; model validation; neural networks; reliability; remote sensing; satellites; soil surveys; soil water
- Abstract:
- ... Satellite-based passive microwave remote sensing has been shown to be a valuable tool in mapping and monitoring global soil moisture. The Advanced Microwave Scanning Radiometer on the Aqua platform (AMSR-E) has made significant contributions to this application. As the result of agency and individual initiatives, several approaches for the retrieval of soil moisture from AMSR-E have been proposed ...
- Handle:
- 10113/59882
- DOI:
- 10.1016/j.rse.2014.01.013
- https://doi.org/10.1016/j.rse.2014.01.013
- Author:
- M.H. Cosh, et al. ; A. Colliander; T.J. Jackson; S.K. Chan; P. O'Neill; R. Bindlish; T. Caldwell; J.P. Walker; A. Berg; H. McNairn; M. Thibeault; J. Martínez-Fernández; K.H. Jensen; J. Asanuma; M.S. Seyfried; D.D. Bosch; P.J. Starks; C. Holifield Collins; J.H. Prueger; Z. Su; E. Lopez-Baeza; S.H. Yueh; Show all 22 Authors
- Source:
- Remote sensing of environment 2018 v.207 pp. 65-70
- ISSN:
- 0034-4257
- Subject:
- data collection; remote sensing; satellites; soil water
- Abstract:
- ... Satellite-based passive microwave remote sensing typically involves a scanning antenna that makes measurements at irregularly spaced locations. These locations can change on a day to day basis. Soil moisture products derived from satellite-based passive microwave remote sensing are usually resampled to a fixed Earth grid that facilitates their use in applications. In many cases the grid size is fi ...
- Handle:
- 10113/5906746
- DOI:
- 10.1016/j.rse.2018.02.006
- https://doi.org/10.1016/j.rse.2018.02.006
- Author:
- M.H. Cosh, et al. ; S.K. Chan; R. Bindlish; P. O'Neill; T. Jackson; E. Njoku; S. Dunbar; J. Chaubell; J. Piepmeier; S. Yueh; D. Entekhabi; A. Colliander; F. Chen; T. Caldwell; J. Walker; A. Berg; H. McNairn; M. Thibeault; J. Martínez-Fernández; F. Uldall; M. Seyfried; D. Bosch; P. Starks; C. Holifield Collins; J. Prueger; R. van der Velde; J. Asanuma; M. Palecki; E.E. Small; M. Zreda; J. Calvet; W.T. Crow; Y. Kerr; Show all 33 Authors
- Source:
- Remote sensing of environment 2018 v.204 pp. 931-941
- ISSN:
- 0034-4257
- Subject:
- National Aeronautics and Space Administration; algorithms; correlation; ecosystems; freeze-thaw cycles; radar; remote sensing; satellites; soil water; temperature; uncertainty
- Abstract:
- ... Launched in January 2015, the National Aeronautics and Space Administration (NASA) Soil Moisture Active Passive (SMAP) observatory was designed to provide frequent global mapping of high-resolution soil moisture and freeze-thaw state every two to three days using a radar and a radiometer operating at L-band frequencies. Despite a hardware mishap that rendered the radar inoperable shortly after lau ...
- Handle:
- 10113/5819699
- DOI:
- 10.1016/j.rse.2017.08.025
- https://doi.org/10.1016/j.rse.2017.08.025
- Author:
- M.H. Cosh, et al. ; A. Colliander; T.J. Jackson; R. Bindlish; S. Chan; N. Das; S.B. Kim; R.S. Dunbar; L. Dang; L. Pashaian; J. Asanuma; K. Aida; A. Berg; T. Rowlandson; D. Bosch; T. Caldwell; K. Caylor; D. Goodrich; H. al Jassar; E. Lopez-Baeza; J. Martínez-Fernández; A. González-Zamora; S. Livingston; H. McNairn; A. Pacheco; M. Moghaddam; C. Montzka; C. Notarnicola; G. Niedrist; T. Pellarin; J. Prueger; J. Pulliainen; K. Rautiainen; J. Ramos; M. Seyfried; P. Starks; Z. Su; Y. Zeng; R. van der Velde; M. Thibeault; W. Dorigo; M. Vreugdenhil; J.P. Walker; X. Wu; A. Monerris; P.E. O'Neill; D. Entekhabi; E.G. Njoku; S. Yueh; Show all 49 Authors
- Source:
- Remote sensing of environment 2017 v.191 pp. 215-231
- ISSN:
- 0034-4257
- Subject:
- algorithms; radar; remote sensing; satellites; screening; soil water
- Abstract:
- ... The NASA Soil Moisture Active Passive (SMAP) mission has utilized a set of core validation sites as the primary methodology in assessing the soil moisture retrieval algorithm performance. Those sites provide well-calibrated in situ soil moisture measurements within SMAP product grid pixels for diverse conditions and locations. The estimation of the average soil moisture within the SMAP product gri ...
- Handle:
- 10113/5617486
- DOI:
- 10.1016/j.rse.2017.01.021
- https://doi.org/10.1016/j.rse.2017.01.021