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- Author:
- A. Colliander, et al. ; Cosh Michael H.; Y. Gao; M.S. Burgin; J.P. Walker; E. Dinnat; C. Chae; M.H. Cosh; 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:
- A. Colliander, et al. ; A. Al-Yaari; J.-P. Wigneron; W. Dorigo; T. Pellarin; S. Hahn; A. Mialon; P. Richaume; R. Fernandez-Moran; L. Fan; Y.H. Kerr; G. De Lannoy; Show all 12 Authors
- Source:
- Remote sensing of environment 2019 v.224 pp. 289-303
- ISSN:
- 0034-4257
- Subject:
- National Aeronautics and Space Administration; Soil Moisture and Ocean Salinity satellite; algorithms; carbon cycle; climate change; climatic factors; ecoregions; energy; monitoring; radar; remote sensing; soil water; time series analysis; vegetation types; water budget
- Abstract:
- ... Soil moisture (SM) is a key state variable in understanding the climate system through its control on the land surface energy, water budget partitioning, and the carbon cycle. Monitoring SM at regional scale has become possible thanks to microwave remote sensing. In the past two decades, several satellites were launched carrying on board either radiometer (passive) or radar (active) or both sensor ...
- DOI:
- 10.1016/j.rse.2019.02.008
- https://doi.org/10.1016/j.rse.2019.02.008
- Author:
- A. Colliander, et al. ; J. Kolassa; R.H. Reichle; Q. Liu; S.H. Alemohammad; P. Gentine; K. Aida; J. Asanuma; S. Bircher; T. Caldwell; M. Cosh; C. Holifield Collins; T.J. Jackson; J. Martínez-Fernández; H. McNairn; A. Pacheco; M. Thibeault; J.P. Walker; Show all 18 Authors
- Source:
- Remote sensing of environment 2018 v.204 pp. 43-59
- ISSN:
- 0034-4257
- Subject:
- Earth Observing System; algorithms; climatology; image analysis; microwave radiometers; neural networks; remote sensing; satellites; soil temperature; soil water; vegetation; water content
- Abstract:
- ... A Neural Network (NN) algorithm was developed to estimate global surface soil moisture for April 2015 to March 2017 with a 2–3day repeat frequency using passive microwave observations from the Soil Moisture Active Passive (SMAP) satellite, surface soil temperatures from the NASA Goddard Earth Observing System Model version 5 (GEOS-5) land modeling system, and Moderate Resolution Imaging Spectrorad ...
- DOI:
- 10.1016/j.rse.2017.10.045
- PubMed:
- 29290638
- PubMed Central:
- PMC5744888
- https://doi.org/10.1016/j.rse.2017.10.045
- Author:
- A. Colliander, et al. ; Cosh Michael H.; A. Gruber; G. De Lannoy; C. Albergel; A. Al-Yaari; L. Brocca; J.-C. Calvet; M. Cosh; W. Crow; W. Dorigo; C. Draper; M. Hirschi; Y. Kerr; A. Konings; W. Lahoz; K. McColl; C. Montzka; J. Muñoz-Sabater; J. Peng; R. Reichle; P. Richaume; C. Rüdiger; T. Scanlon; R. van der Schalie; J.-P. Wigneron; W. Wagner; Show all 27 Authors
- Source:
- Remote sensing of environment 2020 v.244 pp. 111806
- ISSN:
- 0034-4257
- Subject:
- data collection; remote sensing; satellites; soil water
- Abstract:
- ... This paper presents a community effort to develop good practice guidelines for the validation of global coarse-scale satellite soil moisture products. We provide theoretical background, a review of state-of-the-art methodologies for estimating errors in soil moisture data sets, practical recommendations on data pre-processing and presentation of statistical results, and a recommended validation pr ...
- Handle:
- 10113/6939700
- DOI:
- 10.1016/j.rse.2020.111806
- https://doi.org/10.1016/j.rse.2020.111806
- Author:
- A. Colliander, et al. ; T.J. Jackson; S.K. Chan; P. O'Neill; R. Bindlish; M.H. Cosh; 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:
- A. Colliander, et al. ; S.K. Chan; R. Bindlish; P. O'Neill; T. Jackson; E. Njoku; S. Dunbar; J. Chaubell; J. Piepmeier; S. Yueh; D. Entekhabi; F. Chen; M.H. Cosh; 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:
- A. Colliander, et al. ; T.J. Jackson; R. Bindlish; S. Chan; N. Das; S.B. Kim; M.H. Cosh; 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