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You searched for: Author "R. Bindlish" Remove constraint Author: "R. Bindlish"
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1. Evaluation of SMAP downscaled brightness temperature using SMAPEx-4/5 airborne observations

Author:
R. Bindlish,   et al.   ; N. Ye; J.P. Walker; J. Chaubell; N.N. Das; A.I. Gevaert; T.J. Jackson; C. Rüdiger;     Show all 8 Authors
Source:
Remote sensing of environment 2019 v.221 pp. 363-372
ISSN:
0034-4257
Subject:
National Aeronautics and Space Administration; algorithms; cloud cover; remote sensing; rivers; satellites; soil water; temperature; watersheds; Australia
Abstract:
... The Soil Moisture Active and Passive (SMAP) mission, launched by the National Aeronautics and Space Administration (NASA) on 31st January 2015, was designed to provide global soil moisture every 2 to 3 days at 9 km resolution by downscaling SMAP passive microwave observations obtained at 36 km resolution using active microwave observations at 3 km resolution, and then retrieving soil moisture from ...
DOI:
10.1016/j.rse.2018.11.033
PubMed:
32020952
PubMed Central:
PMC6999732

2. SMOS disaggregated soil moisture product at 1km resolution: Processor overview and first validation results

Author:
R. Bindlish,   et al.   ; B. Molero; O. Merlin; Y. Malbéteau; A. Al Bitar; F. Cabot; V. Stefan; Y. Kerr; S. Bacon; M.H. Cosh; 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

3. Remote monitoring of soil moisture using passive microwave-based techniques — Theoretical basis and overview of selected algorithms for AMSR-E

Author:
R. Bindlish,   et al.   ; I.E. Mladenova; T.J. Jackson; E. Njoku; S. Chan; M.H. Cosh; 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

4. An assessment of the differences between spatial resolution and grid size for the SMAP enhanced soil moisture product over homogeneous sites

Author:
R. Bindlish,   et al.   ; A. Colliander; T.J. Jackson; S.K. Chan; P. O'Neill; 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

5. Soil Hydraulic Parameters and Surface Soil Moisture of a Tilled Bare Soil Plot Inversely Derived from L-Band Brightness Temperatures

Author:
R. Bindlish,   et al.   ; M. Dimitrov; J. Vanderborght; K. G. Kostov; K. Z. Jadoon; L. Weihermüller; T. J. Jackson; Y. Pachepsky; M. Schwank; H. Vereecken;     Show all 10 Authors
Source:
Vadose Zone Journal 2014 v.13 no.1 pp. -
ISSN:
1539-1663
Subject:
data collection; equations; evaporation; hydraulic conductivity; hydrologic models; radiative transfer; rain; sensors (equipment); simulation models; soil water; soil water content; surface roughness; temperature; vadose zone
Abstract:
... We coupled a radiative transfer model and a soil hydrologic model (HYDRUS 1D) with an optimization routine to derive soil hydraulic parameters, surface roughness, and soil moisture of a tilled bare soil plot using measured brightness temperatures at 1.4 GHz (L-band), rainfall, and potential soil evaporation. The robustness of the approach was evaluated using five 28-d data sets representing differ ...
Handle:
10113/61455
DOI:
10.2136/vzj2013.04.0075

6. Overview of SMOS performance in terms of global soil moisture monitoring after six years in operation

Author:
R. Bindlish,   et al.   ; Y.H. Kerr; A. Al-Yaari; N. Rodriguez-Fernandez; M. Parrens; B. Molero; D. Leroux; S. Bircher; A. Mahmoodi; A. Mialon; P. Richaume; S. Delwart; A. Al Bitar; T. Pellarin; T.J. Jackson; C. Rüdiger; P. Waldteufel; S. Mecklenburg; J.-P. Wigneron;     Show all 19 Authors
Source:
Remote sensing of environment 2016 v.180 pp. 40-63
ISSN:
0034-4257
Subject:
Sahel; Soil Moisture and Ocean Salinity satellite; algorithms; latitude; monitoring; neural networks; new products; radio waves; remote sensing; simulation models; soil water; tropical rain forests; Arizona
Abstract:
... The Soil Moisture and Ocean Salinity satellite (SMOS) was launched in November 2009 and started delivering data in January 2010. The commissioning phase ended in May 2010. Subsequently, the satellite has been in operation for over six years while the retrieval algorithms from Level 1 (L1) to Level 2 (L2) underwent significant evolutions as knowledge improved. Moreover, other approaches for retriev ...
Handle:
10113/5648518
DOI:
10.1016/j.rse.2016.02.042

7. Evaluation of the Oceansat-1 Multi-frequency Scanning Microwave Radiometer and its potential for soil moisture retrieval

Author:
R. Bindlish,   et al.   ; J. Wen; T. J. Jackson; Z. B. Su;     Show all 4 Authors
Source:
International Journal of Remote Sensing 2006 v.27 no.18 pp. 3781-3796
ISSN:
1366-5901
Subject:
emissions; image analysis; microwave radiation; models; radio waves; radiometers; remote sensing; soil temperature; soil water; surface temperature; Great Plains region; United States
Abstract:
... The Multi-frequency Scanning Microwave Radiometer (MSMR) aboard the Indian Space Research Organization - Oceansat-1 platform measured land surface brightness temperature at C-band frequencies and provided an opportunity for exploring large-scale soil moisture retrieval during its two-year period of operation. These data may provide a valuable extension to the Scanning Multichannel Microwave Radiom ...
Handle:
10113/56352
DOI:
10.1080/01431160500075642

8. The added value of spaceborne passive microwave soil moisture retrievals for forecasting rainfall-runoff partitioning

Author:
R. Bindlish,   et al.   ; W. T. Crow; T. J. Jackson;     Show all 3 Authors
Source:
Geophysical Research Letters 2005 v.32 no. pp. 1-5
ISSN:
1944-8007
Subject:
basins; data collection; hydrologic models; microwave radiation; radiometers; rain; soil water; stormwater; stream flow; value added; weather forecasting; Great Plains region; Southeastern United States
Abstract:
... Using existing data sets of spaceborne soil moisture retrievals, streamflow and precipitation for 26 basins in the United States Southern Great Plains, a 5-year analysis is performed to quantify the value of soil moisture retrievals derived from the Tropical Rainfall Measuring Mission (TRMM) Microwave Imager (TMI) X-band (10.7 GHz) radiometer for forecasting storm event-scale runoff ratios. The pr ...
Handle:
10113/58496
DOI:
10.1029/2005GL023543

9. Using TRMM/TMI to Retrieve Surface Soil Moisture over the Southern United States from 1998 to 2002

Author:
R. Bindlish,   et al.   ; H. Gao; E. F. Wood; T. J. Jackson; M. Drusch;     Show all 5 Authors
Source:
Journal of Hydrometeorology 2006 v.7 no.1 pp. 23-38
ISSN:
1525-7541
Subject:
algorithms; correlation; databases; emissions; frozen soils; hydrologic models; image analysis; microwave radiation; quality control; radiometers; radiometry; rain; remote sensing; satellites; snow; soil temperature; soil water; soil water content; surface temperature; vegetation; Oklahoma; Southeastern United States
Abstract:
... Passive microwave remote sensing has been recognized as a potential method for measuring soil moisture. Combined with field observations and hydrological modeling brightness temperatures can be used to infer soil moisture states and fluxes in real time at large scales. However, operationally acquiring reliable soil moisture products from satellite observations has been hindered by three limitation ...
Handle:
10113/56351
DOI:
10.1175/JHM473.1

10. Development and assessment of the SMAP enhanced passive soil moisture product

Author:
R. Bindlish,   et al.   ; S.K. Chan; P. O'Neill; T. Jackson; E. Njoku; S. Dunbar; J. Chaubell; J. Piepmeier; S. Yueh; D. Entekhabi; A. Colliander; 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

11. Validation of SMAP surface soil moisture products with core validation sites

Author:
R. Bindlish,   et al.   ; A. Colliander; T.J. Jackson; 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