Please submit additional relevant publications to email@example.com, with “SMAP Publications” on the subject line.
Assessment of Soil Moisture Data Requirements by the Potential SMAP Data User Community: Review of SMAP Mission User Community – M.E. Brown, V.M. Escobar; Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of, Vol. 7 No. 1, Jan. 2014, p.277-283, doi: 10.1109/JSTARS.2013.2261473.
Automated L-Band Radar System for Sensing Soil Moisture at High Temporal Resolution– K. Nagarajan, Pang-Wei Liu, R. DeRoo, J. Judge, R. Akbar, P. Rush, S. Feagle, D. Preston, R. Terwilleger; Geoscience and Remote Sensing Letters, IEEE, Vol. 11 No. 2, 2014, p. 504-508, doi: 10.1109/LGRS.2013.2270453
The Soil Moisture Active Passive Experiments (SMAPEx): Toward Soil Moisture Retrieval From the SMAP Mission – R. Panciera, J.P. Walker, T.J. Jackson, D.A. Gray, M.A. Tanase, Dongryeol Ryu, A. Monerris, H. Yardley, C. Rudiger, Xiaoling Wu, Ying Gao, J.M. Hacker; Geoscience and Remote Sensing, IEEE Transactions on, Vol. 52 No. 1, Part 2, 2014, p. 490-507, doi: 10.1109/TGRS.2013.2241774
Tests of the SMAP Combined Radar and Radiometer Algorithm Using Airborne Field Campaign Observations and Simulated Data – N.N. Das, D. Entekhabi, E.G. Njoku, J.J.C. Shi, J.T. Johnson, A. Colliander; Geoscience and Remote Sensing, IEEE Transactions on, Vol. 52 No.4, 2014, p. 2018-2028, doi: 10.1109/TGRS.2013.2257605
A downscaling algorithm for combining radar and radiometer observations for SMAP soil moisture retrieval – Peng Guo, Jiancheng Shi, Tianjie Zhao; Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International, p. 731 – 734, doi: 10.1109/IGARSS.2013.6721261
L-band active / passive time series measurements over a growing season using the ComRAD ground-based SMAP simulator – P. O’Neill, M. Kurum, A. Joseph, J. Fuchs, P. Young, M. Cosh, R. Lang; Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International, p. 37-40, doi: 10.1109/IGARSS.2013.6721086
NASA’s Soil Moisture Active Passive (SMAP) observatory – K. Kellogg, K., et al.; Aerospace Conference, 2013 IEEE, p. 1-20, doi: 10.1109/AERO.2013.6496938
Performance characterization of the SMAP RFI mitigation algorithm using direct-sampled SMAPVEX 2012 data – S. Misra, J. Johnson, M. Aksoy, D. Bradley, Hsin Li, J. Mederios, J. Piepmeier, I. O’Dwyer; Radio Science Meeting (USNC-URSI NRSM), 2013 US National Committee of URSI National, p. 1, doi: 10.1109/USNC-URSI NRSM.2013.6524988
A radar-radiometer surface soil moisture retrieval algorithm for SMAP, – R. Akbar, M. Moghaddam; Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International, p. 1095-1098, doi: 10.1109/IGARSS.2013.6721355
A robust algorithm for soil moisture retrieval from the soil Moisture Active Passive mission radar observations – P.S. Narvekar, D. Entekhabi, Seungbum Kim, E. Njoku; Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International, p. 45-48, doi: 10.1109/IGARSS.2013.6721088
SMAP RFI mitigation algorithm performance characterization using airborne high-rate direct-sampled SMAPVEX 2012 data – S. Misra, et al.; Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International, p. 41 – 44, doi: 10.1109/IGARSS.2013.6721087
The Soil Moisture Active Passive (SMAP) radar: Measurements at high latitudes and of surface freeze/thaw state – M. Spencer, S. Dunbar, C. Chen; Radar Conference (RADAR), 2013 IEEE, p. 1-5, doi: 10.1109/RADAR.2013.6586087
State of the Art in Large-Scale Soil Moisture Monitoring – Tyson E. Ochsner, Michael H. Coshb, Richard H. Cuencac, Wouter A. Dorigod, Clara S. Drapere, Yutaka Hagimotof, Yann H. Kerrg, Eni G. Njokuh, Eric E. Smalli and Marek Zredaj; Soil Science Society of America Journal, Vol. 77 No. 6, p. 1888-1919; doi:10.2136/sssaj2013.03.0093.
Towards a high-density soil moisture network for the validation of SMAP in Petzenkirchen, Austria – M. Vreugdenhil, et al.; Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International, p. 1865 – 1868, doi: 10.1109/IGARSS.2013.6723166
US national cropland soil moisture monitoring using SMAP – Zhengwei Yang, R. Mueller, W. Crow; Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International, p. 3746 – 3749, doi: 10.1109/IGARSS.2013.6723645
Advances in Earth observation for water cycle science (editorial) – D. Fernandez-Prieto et al., Copernicus Publications on behalf of the European Geosciences Union, Hydrol. Earth Syst. Sci., 16, p. 543–549, 2012, doi:10.5194/hess-16-543-2012
Active and passive airborne microwave remote sensing for soil moisture retrieval in the Rur catchment, Germany – C. Montzka, et al., Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International, p. 6956 – 6959, doi: 10.1109/IGARSS.2012.6352562
An airborne simulation of the SMAP data stream – J.P. Walker et al.; Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International, p. 5-7 doi: 10.1109/IGARSS.2012.6351537
Application of QuikSCAT Backscatter to SMAP Validation Planning: Freeze/Thaw State Over ALECTRA Sites in Alaska From 2000 to 2007 – A. Colliander, K. McDonald, R. Zimmermann, R. Schroeder, J.S. Kimball, E.G. Njoku; Geoscience and Remote Sensing, IEEE Transactions on, Vol. 50 No. 2, 2012, p. 461 – 468 , doi: 10.1109/TGRS.2011.2174368
Assessment of the impacts of radio frequency interference on SMAP radar and radiometer measurements – C.W. Chen, J.R. Piepmeier, J.T. Johnson, H. Ghaemi, H.; Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International, p. 1-4, doi: 10.1109/IGARSS.2012.6351538
Comparison of Backscattering Models at L-Band for Growing Corn – A. Monsivais-Huertero, J. Judge, Geoscience and Remote Sensing Letters, IEEE, Vol. 8 No. 1, p. 24-28, doi: 10.1109/LGRS.2010.2050459
Design and performance of Astromesh reflector onboard Soil Moisture Active Passive spacecraft – M. Mobrem, et al.; Aerospace Conference, 2012 IEEE, p. 1-10, doi: 10.1109/AERO.2012.6187094
Development of SMAP (soil moisture active and passive) Freeze/Thaw algorithms adapted for the Canadian Tundra – P. Kalantari, M. Bernier, K.C. McDonald, J. Poulin; Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International, p. 5218 – 5221, doi: 10.1109/IGARSS.2012.6352433
A dual-polarized, dual-frequency, corrugated feed horn for SMAP – P. Focardi, P.R. Brown, Antennas and Propagation Society International Symposium (APSURSI), 2012 IEEE, p. 1-2, doi: 10.1109/APS.2012.6349003
End-to-end data flow on the Soil Moisture Active Passive (SMAP) mission – E. Deems, C. Swan, B. Weiss; Aerospace Conference, 2012 IEEE, p. 1-16, doi: 10.1109/AERO.2012.6187175
An integrated active-passive soil moisture retrieval algorithm for SMAP for bare surfaces – R. Akbar, M. Moghaddam; Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International, p. 16 – 19, doi: 10.1109/IGARSS.2012.6350891
Integration of Daily Inundation Extent Estimates into an Ecosystem-Atmosphere Gas Exchange Model – J. Galantowicz, A. Samanta, H. Tian, American Geophysical Union, Fall Meeting 2012, abstract #B41C-0303
A 6-m mesh reflector antenna for SMAP: Modeling the RF performance of a challenging Earth-orbiting instrument – P. Focardi, P. Brown, Y. Rahmat-Samii; Antennas and Propagation (APSURSI), 2011 IEEE International Symposium on, p. 2987- 2990, doi: 10.1109/APS.2011.5997157
AIAA ICES 2011 – Preliminary Evaluation of Passive Thermal Control for the Soil Moisture Active Passive (SMAP) Radiometer – A.J. Mastropietro, Eug Kwack, Rebecca Mikhaylov, Michael Spencer, Pamela Hoffman, Douglas Dawson (JPL); Jeff Piepmeier, Derek Hudson, James Medeiros (GSFC). Download File
An Algorithm for Merging SMAP Radiometer and Radar Data for High-Resolution Soil-Moisture Retrieval – Narendra N. Das, Dara Entekhabi, Eni G. Njoku, IEEE Transactions on Geoscience and Remote Sensing, Vol. 49, No. 5, May 2011.
Dense Temporal Series of C- and L-band SAR Data for Soil Moisture Retrieval Over Agricultural Crops – Anna Balenzano, Francesco Mattia, Senior Member, IEEE, Giuseppe Satalino, and Malcolm W. J. Davidson, IEEE Transactions on Geoscience and Remote Sensing, Vol. 4, No. 2, June 2011.
Effect of Soil Moisture on polarimetric-interferometric repeat pass observations by UAVSAR during 2010 Canadian Soil Moisture campaign – Scott Hensley, Thierry Michel, Jakob Van Zyl, Ron Muellerschoen, Bruce Chapman, Shadi Oveisgharan, Ziad S. Haddad,Tom Jackson, Iliana Mladenova, SMAP Cal/Val Workshop, May 3-5, 2011.
IGARSS 2011 – Utilization of Ancillary Data Sets for SMAP Algorithm Development and Product Generation; Peggy E. O’Neill, Erika Podest, and Eni G. Njoku.
Improving hydrologic predictions of a catchment model via assimilation of surface soil moisture – Chen, F., W.T. Crow, P.J. Starks, and D.N. Moriasi, Advances in Water Resources, 34, 526–536, 2011. Download File
A quasi-global evaluation system for satellite-based surface soil moisture retrievals – Crow, W.T., D.G. Miralles and M.H. Cosh, IEEE Transactions on Geoscience and Remote Sensing, 48(6), 2516-2527. Download File
A technique for estimating spatial sampling errors in coarse-scale soil moisture estimates derived from point-scale observations – Miralles, D.G., W.T. Crow and M.H. Cosh, Journal of Hydrometeorology, 11(6), 1404-1410,10.1175/2010JHM1285.1, 2010. Download File
AGU 2010 – The Contribution of Soil Moisture Information to Forecast Skill: Two Studies; Randal Koster, Sarith Mahanama, and Ben Livneh.
AMS 2010 – NASA’s Soil Moisture Active Passive (SMAP) Mission Applications in the Atmospheric and Hydrologic Sciences; Dara Entekhabi, Eni Njoku, Peggy O’Neill, R. Koster.
An algorithm for merging SMAP radiometer and radar data for high resolution soil moisture retrieval – Das, N., Entekhabi, D., Njoku, E., IEEE-Transactions on Geoscience and Remote Sensing, In press.
An improved approach for estimating observation and model error parameters for soil moisture data assimilation – Crow, W.T. and M.J. van den Berg, Water Resources Research, 46, W12519, 10.1029/2010WR009402, 2010. Download File
Assimilation of SMAP measurements for soil moisture-based military trafficability assessment at tactical scales – Flores, L., D. Entekhabi, and R. L. Bras, IEEE Journal of Selected Topics in Earth Observations and Remote Sensing, 2009-00030.
Backscattering coefficients, coherent reflectivities, and emissivities of randomly rough soil surfaces at L-band for SMAP applications based on numerical solutions of Maxwell equations in three-dimensional simulations – Huang, Shaowu, Tsang, Leung, Njoku, Eni and Chan, Kuan Shan, IEEE Transactions of Geoscience and Remote Sensing, Vol. 48, No. 6, June 2010, 2557-2568. Download File
Evaluating the utility of remotely-sensed soil moisture retrievals for operational agricultural drought monitoring – Bolten, J.D., W.T. Crow, T.J. Jackson, X. Zhan and C.A. Reynolds. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 3, 57-66. Download File
IGARSS 2010 – Forward Simulation of Passive Microwave Observation for the Soil Moisture Active Passive (SMAP) Mission; Steven Chan, Eni Njoku, and Scott Dunbar.
IGARSS 2010 – Fostering Applications opportunities for the NASA Soil Moisture Active Passive (SMAP) Mission; M. Susan Moran, Peggy E. O’Neill, Dara Entekhabi, Eni Njoku and Kent Kellogg.
IGARSS 2010 – QuikSCAT Backscatter Sensitivity to Landscape Freeze/Thaw State over ALECTRA Sites in Alaska from 2000 to 2007: Application to SMAP Validation Planning; A. Colliander, K. McDonald, R. Zimmermann, T. Linke, R. Schroeder, J. Kimball.
IGARSS 2010 – The NASA Soil Moisture Active Passive (SMAP) Mission: Overview; O’Neil, Entekhabi, Njoku and Kellogg.
The impact of radar incidence angle on soil moisture retrieval skill – Crow, W.T., W. Wagner and V. Naeimi, IEEE Geoscience and Remote Sensing Letters, 7(3), 501-505, 10.1109/LGRS.2010.2040134, July 2010. Download File
MicroRad 2010 – Utilization of Airborne and In Situ Data Obtained in SGP99, SMEX02, CLASIC and SMAPVEX08 Field Campaigns for SMAP Soil Moisture Algorithm Development and Validation; Colliander, A., S. Chan, S. Yueh, M. Cosh, R. Bindlish, T. Jackson, E. Njoku.
PIEEE 2010 – The Soil Moisture Active and Passive (SMAP) Mission, Entekhabi, D., E. Njoku, P. O’Neill, K. Kellogg, W. Crow, W. Edelstein, J. Entin, S. Goodman, T. Jackson, J. Johnson, J. Kimball, J. Piepmeier, R. Koster, K. McDonald, M. Moghaddam, S. Moran, R. Reichle, J. C. Shi, M. Spencer, S. Thurman, L. Tsang, J. Van Zyl, Proceedings of the IEEE, 98(5).
PIERS 2010 – Azimuthal Signature of Coincidental Brightness Temperature and Normalized Radar Cross-section Obtained Using Airborne PALS Instrument; Colliander, A., S. Kim, S. Yueh, M. Cosh, T. Jackson, E. Njoku.
RadarCon 2010 – Monitoring surface soil moisture and freeze-thaw state with the high-resolution radar of the Soil Moisture Active/Passive (SMAP) mission; Kim, S, Van Zyl J, McDonald, K. and Njoku, E.
Soil Moisture Active Passive Poster – Joshua B. Fisher, Eni G. Njoku, Data Entekhabi.
Study of validity region of small perturbation method for two-layer rough surfaces – Tabatabaeenejad, A., and M. Moghaddam, IEEE Geosci. Remote Sensing Lett, vol. 7, no. 2, pp. 319-323, April 2010.
2009 IEEE Radar Conference – A Science Data System Approach For The SMAP Mission; Woollard D, Kwoun OI, Bicknell T, et al., Pages: 664-669 MAY 2009.
2009 IEEE Radar Conference – RFI STUDY FOR THE SMAP RADAR; Chan S, Spencer M, Pages: 143-147 MAY 2009.
2009 IEEE Radar Conference – SMAP’s Radar OBP Algorithm Development ; Le C, Spencer MW, Veilleux L, et al., Pages 660-663 MAY 2009.
AIAA 2009 – The Soil Moisture Active and Passive Mission (SMAP), Njoku, E., K. Kellogg, P. O’Neill, and D. Entekhabi.
A Change Detection Algorithm for Retrieving High-Resolution Soil Moisture From SMAP Radar and Radiometer Observations – Piles M, Entekhabi D, Camps A, IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING Volume: 47 Issue: 12 Pages: 4125-4131 DEC 2009.
AGU 2009, Fall – Development of Global High Resolution Soil Moisture Product from the SMAP mission; Narendra N. Das, Dara Entekhabi, Eni Njoku.
A Satellite Approach to Estimate Land-Atmosphere CO2 Exchange for Boreal and Arctic Biomes Using MODIS and AMSR_E – John Kimball, Lucas Jones, Ke Zhang, Faith Ann Heinsch, Kyle McDonald and Walt Oechel, IEEE Transactions on Geoscience and Remote Sensing, Vol 47, No.2, February 2009. Download File
A study of detection algorithms for pulsed sinusoidal interference in microwave radiometry – J. T. Johnson and L. C. Potter, IEEE Trans. Geosc. Rem. Sens., vol. 47, pp. 628–636, 2009.
Combined Passive and Active Microwave Observations of Soil Moisture During CLASIC – Bindlish, R; Jackson, T; Sun, RJ; et al., IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 6 (4): 644-648 OCT 2009.
Ecohydrological controls on snowmelt partitioning in mixed-conifer sub-alpine forests – Noah.P. Molotch, Paul D. Brooks, Sean P. Burns, Marcy Litvak, Russell K. Monson, Jospeh R. McConnell, and Keith Musselman, Echodydrology. 2, 129-142 (2009) DOI: 10.1002/eco.48. Download File
IEEE Radar Conference – The Soil Moisture Active and Passive Mission (SMAP): Science and Applications; Entekhabi, D; O’Neill, P; Njoku, E, 83-85 2009.
IEEE Radar Conference 2009 – Soil Moisture Active and Passive Mission, Entekhabi, D., E. Njoku and P. O’Neill.
IGARSS 2009 – A change detection algorithm for retrieving high-resolution surface soil moisture from SMAP L-band radar and radiometer observations, Piles, M., D. Entekhabi and A. Camps.
IGARSS 2009 – Airborne L-band RFI observations in the SMAPVEX08 Campaign with the L-band Interference Suppressing Radiometer; Majurec, N., J. Park, N. Niamsuwan, M. Frankford, and J. T. Johnson.
IGARSS 2009 – Algorithm development using the SMAP Algorithm Testbed, Chan, S., S. Dunbar, A. Colliander, E. Njoku and D. Entekhabi.
IGARSS 2009 – High Resolution Mapping of Soil Moisture with SMAP Radar and Radiometer in Support of new Approaches to Water Cycle Science and Applications; Entekhabi et al.
IGARSS 2009 – PALS-ADD and airborne campaigns to support soil moisture and sea surface salinity missions; Yueh, S. et al.
IGARSS 2009 – Space-borne soil moisture measurements in support of flood hydrology: The NASA SMAP approach; Crow et al.
Impact of hillslope-scale organization of topography, soil moisture, soil temperature and vegetation on modeling surface microwave radiation emission, Flores, A. N., V. Y. Ivanov, D. Entekhabi, and R. L. Bras, IEEE Transactions of Geoscience and Remote Sensing, 47(8), 2557-2571.
Improving satellite rainfall accumulation estimates using spaceborne soil moisture retrievals – Crow, W.T., G.F. Huffman, R. Bindlish and T.J. Jackson, Journal of Hydrometeorology, 10(1), 199-212. Download File
Inversion of dielectric properties of layered rough surface using the simulated annealing method – Tabatabaeenejad, A., and M. Moghaddam, IEEE Trans. Geosci. Remote Sensing, vol. 47, no. 7, pp. 2035-2046, July 2009.
L-Band Radar Estimation of Forest Attenuation for Active/Passive Soil Moisture Inversion – Kurum, M; Lang, RH; O’Neill, PE; et al., IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 47 (9): 3026-3040 Sp. Iss. SI SEP 2009.
PIERS 2009 – Retrieval Algorithm Development Based on SMEX02 Field Campaign Data for the Soil Moisture Active and Passive (SMAP) Mission; Chan and Njoku.
PIERS 2009 – Soil Moisture Active and Passive (SMAP) Mission; Entekhabi et al.
Role of subsurface physics in the assimilation of surface soil moisture observations – Kumar, S. V., R. H. Reichle, R. D. Koster, W. T. Crow, and C. D. Peters-Lidard, Journal of Hydrometeorology, 10, 1534-1547; http://dx.doi.org/10.1175/2009JHM1134.1.
Survey of L-Band tower and airborne sensor systems relevant to upcoming soil moisture missions, O’Neill, P., T. Jackson, D. Entekhabi and E. Njoku , IEEE Geoscience and Remote Sensing Newsletter, 151, 13-16.
URSI National Radio Science Meeting 2009 – Airborne L-band radio frequency interference studies with the L-band Interference Suppressing Radiometer (LISR) and PALS; Park, J., N. Majurec, N. Niamsuwan, M. Frankford, J. T. Johnson, S. Dinardo, S. Yueh.
2008 IEEE Radar Conference – THE SOIL MOISTURE ACTIVE/PASSIVE (SMAP) RADAR; Spencer, M; Kim, Y; Chan, S, 931-935 2008.
2008 MICROWAVE RADIOMETRY AND REMOTE SENSING OF THE ENVIRONMENT – Estimation of Canopy Attenuation for Active/Passive Microwave Soil Moisture Retrieval Algorithms; Kurum, M; Lang, RH; O’Neill, PE; et al., : 136-139 2008.
An adaptive ensemble Kalman filter for soil moisture data assimilation – Reichle, R. H., W. T. Crow, and C. L. Keppenne, Water Resources Research, 44, W03423, http://dx.doi.org/10.1029/2007WR006357.
Contribution of soil moisture retrievals to land data assimilation products – Reichle, R. H., W. T. Crow, R. D. Koster, H. Sharif, and S. P. P. Mahanama, Geophysical Research Letters, 35, L01404, http://dx.doi.org/10.1029/2007GL031986.
IGARSS 2008 – Active-passive observations of soil moisture – Implementation concept for the SMAP mission, Njoku, E., D. Entekhabi, and P. O’Neill.
IGARSS 2008 – Hillslope-scale controls on remote sensing of soil moisture with microwave radiometry, Flores, A. V. Ivanov, D. Entekhabi, and R. Bras.
IGARSS 2008 – THE SOIL MOISTURE ACTIVE/PASSIVE MISSION (SMAP); Entekhabi et al.
PROCEEDINGS OF THE SOCIETY OF PHOTO-OPTICAL INSTRUMENTATION ENGINEERS (SPIE) – Soil Moisture Active/Passive (SMAP) Mission Concept; Entekhabi, D; Jackson, TJ; Njoku, E; et al., art. no. 70850H, 7085: H850-H850 2008.
SPIE 2008 – Soil Moisture Active/Passive (SMAP) Mission Concept; T. J. Jackson, D. Entekhabi, E. Njoku, P. O’Neill, and J. Entin.
Comparison and assimilation of global soil moisture retrievals from the Advanced Microwave Scanning Radiometer for the Earth Observing System (AMSR-E) and the Scanning Multichannel Microwave Radiometer (SMMR) – Reichle, R. H., R. D. Koster, P. Liu, S. P. P. Mahanama, E. G. Njoku, and M. Owe, Journal of Geophysical Research – Atmospheres, 112, D09108, http://dx.doi.org/10.1029/2004GL021700.
Fall AGU 2007 – Soil Moisture Active Passive (SMAP) Mission; Dara Entekhabi, Eni Njoku, Peggy O’Neill,T.J. Jackson, S.W. Boland, J.K. Entin, E. Im.
IGARSS 2007 – Algorithm for High-Resolution Soil Moisture Retrieval With Coincident Active and Passive L-Band Measurements; Dara Entekhabi.
Impact of multiresolution active and passive microwave measurements on soil moisture estimation using the ensemble Kalman smoother – Dunne, SC; Entekhabi, D; Njoku, EG, IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 45 (4): 1016-1028 APR 2007.
A Method for Retrieving High Resolution Surface Soil Moisture from Hydros L-Band Radiometer and Radar Observations – Zhan, X., Houser, P. R., Walker , J. P. and Crow, W., IEEE Transactions on Geoscience and Remote Sensing, 44(6):1534-1544, 2006, doi:10.1109/TGRS.2005.863319.
2006 IEEE MicroRad – L-band active and passive sensing of soil moisture through forests; Lang, RH, Chauhan, N; Utku, C; et al., : 193-196 2006.
Global assimilation of satellite surface soil moisture retrievals into the NASA Catchment land surface model – Reichle, R. H. and R. D. Koster, Geophysical Research Letters, 32, L02404, http://dx.doi.org/10.1029/2004GL021700.
Relevance of time-varying and time-invariant retrieval error sources on the utility of spaceborne soil moisture products – Crow, W.T., Koster, R., Reichle, R., Sharif, H., Geophysical Research letters, Vol. 32, L24405, doi: 1029/2005GL024889, 2005. Download File
Bias reduction in short records of satellite soil moisture – Reichle, R. H. and R. D. Koster, Geophysical Research Letters, 31, L19501 http://dx.doi.org/10.1029/2004GL020938.
Global Soil Moisture from Satellite Observations, Land Surface Models, and Ground Data: Implications for Data Assimilation – Reichle, R. H., R. D. Koster, J. Dong, and A. A. Berg Journal of Hydrometeorology, 5, 430-442, 2004.
IEEE International Symposium on Geoscience and Remote Sensing (IGARSS) – Combination of passive and active microwave data for soil moisture estimates; Ghedira, H; Lakhankar, T; Jahan, N; et al., : 2783-2786 2004.
Retrieval of soil moisture from passive and active L/S band sensor (PALS) observations during the Soil Moisture Experiment in 2002 (SMEX02) – Narayan, U; Lakshmi, V; Njoku, EG, REMOTE SENSING OF ENVIRONMENT, 92 (4): 483-496 SEP 30 2004.
IEEE International Symposium on Geoscience and Remote Sensing (IGARSS) – An algorithm to retrieve soil moisture using synergistic active/passive microwave, data on bare soil surface; Zhang, WG; Chao, W; Hong, Z; et al., : 917-919 2003.
IEEE International Symposium on Geoscience and Remote Sensing (IGARSS) – Soil moisture retrieval through changing corn using active passive microwave remote sensing; O’Neill, PE; Joseph, A; De Lannoy, G; et al., : 407-409 2003.
Soil moisture retrieval using the passive/active L- and S-band radar/radiometer – Bolton, JD; Lakshmi, V; Njoku, EG, IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 41 (12): 2792-2801 Part 1 DEC 2003.
IEEE International Symposium on Geoscience and Remote Sensing (IGARSS) – Measuring soil moisture change with vegetation cover using passive and active microwave data; Li, Z; Shi, JC; Guo, HD, : 3071-3073 2002.
Passive active L- and S-band (PALS) microwave sensor for ocean salinity and soil moisture measurements – Wilson, WJ; Yueh, SH; Dinardo, SJ; et al., IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 39 (5): 1039-1048 MAY 2001.
Soil Moisture Active Passive (SMAP) is a directed mission within the NASA Earth Systematic Mission Program. The SMAP project is managed by the Jet Propulsion Laboratory (JPL) with participation by the Goddard Space Flight Center (GSFC).
JPL is responsible for project management, system engineering, instrument management, the radar instrument, mission operations and the ground data system, science-data processing, and delivery of science-data products to a designated archive for public distribution.
GSFC is responsible for the radiometer instrument, science-data processing, and delivery of science-data products to a designated archive for public distribution.
ASF and the National Snow and Ice Data Center (NSIDC) are responsible for distributing data to the public.
Key Program/Project Personnel
C. Bonniksen (NASA/Hq), Program Executive, NASA HQ
J. Entin (NASA/Hq), Program Scientist, NASA HQ
K. Kellogg (JPL), Project Manager, JPL
S. Yueh (JPL), Project Scientist, JPL
P. ONeill (GSFC), Deputy Project Scientist, GSFC
The SMAP Science Team (ST) was selected competitively by NASA in 2013 through a ROSES proposal solicitation. ST members are responsible for advising the project on science requirements, science-product definition, science algorithms, calibration/validation planning and implementation, and for publishing science results and supporting education and public outreach for the project. The ST replaces the earlier Science Definition Team (SDT), whose tenure ended in 2013. The ST tenure extends through the end of the SMAP mission.
Science Team Leader
D. Entekhabi, Massachusetts Institute of Technology
U.S. ST Members:
W. Crow, U.S. Department of Agriculture
T. Jackson, U.S. Department of Agriculture
J. Johnson, Ohio State University
J. Kimball, University of Montana
R. Koster, NASA Goddard Space Flight Center
D. Le Vine, NASA Goddard Space Flight Center
S. Misra, Jet Propulsion Laboratory
M. Moghaddam, University of Southern California
S. Moran, U.S. Department of Agriculture
R. Reichle, NASA Goddard Space Flight Center
K. Sarabandi, University of Michigan
L. Tsang, University of Washington
J. van Zyl, Jet Propulsion Laboratory
E. Wood, Princeton University
International ST Members:
S. Belair, Environment Canada, Canada
R. Gurney, University of Reading, UK
Y. Kerr, CESBIO, France
N. Pierdicca, University of Rome, Italy
J. Walker, Monash University, Clayton, Australia
M. Brown, NASA Goddard Space Flight Center
Adapted from JPL SMAP website.