Author: "D. Entekhabi" - PubAg Search Results

Author:: D. Entekhabi, et al. ; E. Santi; S. Paloscia; S. Pettinato; L. Brocca; L. Ciabatta; Show all 6 Authors
Source:: Remote sensing of environment 2018 v.212 pp. 21-30
ISSN:: 0034-4257
Subject:: algorithms; hydrologic models; microwave radiation; monitoring; neural networks; normal values; radar; radiometers; radiometry; remote sensing; satellites; soil water; soil water balance; soil water content; Italy
Abstract:: ... In this study, an integration of microwave data obtained from the SMAP and AMSR2 satellite radiometers has been attempted, to achieve an accurate estimation of the Soil Moisture Content (SMC). This research aimed to overcome the failure of radar sensor in SMAP satellite as well as the failure to generate the radar/radiometer combined SMC product at a spatial resolution of 9 km × 9 km.A disaggregat ...
DOI:: 10.1016/j.rse.2018.04.039
: https://doi.org/10.1016/j.rse.2018.04.039

Author:: D. Entekhabi, et al. ; S.M. Bateni; D.-S. Jeng; Show all 3 Authors
Source:: Journal of hydrology 2013 v.481 pp. 143-156
ISSN:: 0022-1694
Subject:: energy balance; equations; field experimentation; heat transfer; meteorology and climatology; model uncertainty; models; satellites; surface temperature
Abstract:: ... Recently, numerous studies have focused on the estimation of surface energy flux components, based on the assimilation of land surface temperature (LST) within a variational data assimilation (VDA) framework. Unlike the previous investigations based on the force-restore equation, in this study, the full heat diffusion equation is employed in the VDA scheme as an adjoint (constraint). In addition, ...
DOI:: 10.1016/j.jhydrol.2012.12.039
: https://doi.org/10.1016/j.jhydrol.2012.12.039

Author:: D. Entekhabi, et al. ; S.K. Chan; R. Bindlish; P. O'Neill; T. Jackson; E. Njoku; S. Dunbar; J. Chaubell; J. Piepmeier; S. Yueh; 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
: https://doi.org/10.1016/j.rse.2017.08.025

Author:: D. Entekhabi, et al. ; A. Colliander; 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; 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

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