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Funded Research

Airborne Microwave Observatory of Subcanopy and Subsurface (AirMOSS) Earth Ventures-1 Mission

Moghaddam, Mahta: University of Southern California (Project Lead)

Project Funding: 2010 - 2015

Funded by NASA

Abstract:
Reducing and quantifying uncertainties of north American NEE through high-resolution observations of root zone soil moisture, hydrologic and carbon modeling, and upscaling.

Publications:

Burgin, M. S., Khankhoje, U. K., Duan, X., Moghaddam, M. 2016. Generalized Terrain Topography in Radar Scattering Models. IEEE Transactions on Geoscience and Remote Sensing. 54(7), 3944-3952. DOI: 10.1109/TGRS.2016.2532123

Burgin, M., Clewley, D., Lucas, R. M., Moghaddam, M. 2011. A Generalized Radar Backscattering Model Based on Wave Theory for Multilayer Multispecies Vegetation. IEEE Transactions on Geoscience and Remote Sensing. 49(12), 4832-4845. DOI: 10.1109/TGRS.2011.2172949

Cuenca, R. H., Hagimoto, Y., Ring, T. M., Beamer, J. P. 2016. Interpretation of In Situ Observations in Support of P-Band Radar Retrievals. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 9(7), 3122-3130. DOI: 10.1109/JSTARS.2016.2582737

Duan, X., Moghaddam, M. 2012. 3-D Vector Electromagnetic Scattering From Arbitrary Random Rough Surfaces Using Stabilized Extended Boundary Condition Method for Remote Sensing of Soil Moisture. IEEE Transactions on Geoscience and Remote Sensing. 50(1), 87-103. DOI: 10.1109/TGRS.2011.2160549

Duan, X., Moghaddam, M. 2013. Bistatic Vector 3-D Scattering From Layered Rough Surfaces Using Stabilized Extended Boundary Condition Method. IEEE Transactions on Geoscience and Remote Sensing. 51(5), 2722-2733. DOI: 10.1109/TGRS.2012.2215614

Khankhoje, U. K., Burgin, M., Moghaddam, M. 2014. On the Accuracy of Averaging Radar Backscattering Coefficients for Bare Soils Using the Finite-Element Method. IEEE Geoscience and Remote Sensing Letters. 11(8), 1345-1349. DOI: 10.1109/LGRS.2013.2293392

Konings, A. G., Entekhabi, D., Moghaddam, M., Saatchi, S. S. 2014. The Effect of Variable Soil Moisture Profiles on P-Band Backscatter. IEEE Transactions on Geoscience and Remote Sensing. 52(10), 6315-6325. DOI: 10.1109/TGRS.2013.2296035

Ochsner, T. E., Cosh, M. H., Cuenca, R. H., Dorigo, W. A., Draper, C. S., Hagimoto, Y., Kerr, Y. H., Larson, K. M., Njoku, E. G., Small, E. E., Zreda, M. 2013. State of the Art in Large-Scale Soil Moisture Monitoring. Soil Science Society of America Journal. 77(6), 1888-1919. DOI: 10.2136/sssaj2013.03.0093

Saatchi, S., Marlier, M., Chazdon, R. L., Clark, D. B., Russell, A. E. 2011. Impact of spatial variability of tropical forest structure on radar estimation of aboveground biomass. Remote Sensing of Environment. 115(11), 2836-2849. DOI: 10.1016/j.rse.2010.07.015

Sadeghi, M., Tabatabaeenejad, A., Tuller, M., Moghaddam, M., Jones, S. 2016. Advancing NASA's AirMOSS P-Band Radar Root Zone Soil Moisture Retrieval Algorithm via Incorporation of Richards' Equation. Remote Sensing. 9(1), 17. DOI: 10.3390/rs9010017

Tabatabaeenejad, A., Burgin, M., Duan, X., Moghaddam, M. 2015. P-Band Radar Retrieval of Subsurface Soil Moisture Profile as a Second-Order Polynomial: First AirMOSS Results. IEEE Transactions on Geoscience and Remote Sensing. 53(2), 645-658. DOI: 10.1109/TGRS.2014.2326839

Tabatabaeenejad, A., Burgin, M., Moghaddam, M. 2012. Potential of L-Band Radar for Retrieval of Canopy and Subcanopy Parameters of Boreal Forests. IEEE Transactions on Geoscience and Remote Sensing. 50(6), 2150-2160. DOI: 10.1109/TGRS.2011.2173349

Tabatabaeenejad, A., Duan, X., Moghaddam, M. 2013. Coherent Scattering of Electromagnetic Waves From Two-Layer Rough Surfaces Within the Kirchhoff Regime. IEEE Transactions on Geoscience and Remote Sensing. 51(7), 3943-3953. DOI: 10.1109/TGRS.2012.2229391

Tabatabaeenejad, A., Moghaddam, M. 2011. Radar Retrieval of Surface and Deep Soil Moisture and Effect of Moisture Profile on Inversion Accuracy. IEEE Geoscience and Remote Sensing Letters. 8(3), 478-482. DOI: 10.1109/LGRS.2010.2087741

Truong-Loi, M., Saatchi, S., Jaruwatanadilok, S. 2015. Soil Moisture Estimation Under Tropical Forests Using UHF Radar Polarimetry. IEEE Transactions on Geoscience and Remote Sensing. 53(4), 1718-1727. DOI: 10.1109/TGRS.2014.2346656


2015 NASA Carbon Cycle & Ecosystems Joint Science Workshop Poster(s)

  • CRDS instrumentation applied at multiple-scales provides spatial or temporal resolution of ecosystem processes: Four example studies   --   (Karrin Alstad, Olivia Salmon, Paul B. Shepson, Brian Stirm, Stefan Metzger, John Musinsky, Chad Hanson, Andres Schmidt, Whitney Moore, Kate Dennis, Jeff Carter, Chris Rella, Graham Legget)   [abstract]
  • Airborne Microwave Observatory of Subcanopy and Subsurface (AirMOSS) Mission: Observations of Root Zone Soil Moisture and their Impact on Improving NEE Estimates in North America   --   (Mahta Moghaddam, Elaine Chapin, Wade Crow, Richard Cuenca, Dara Entekhabi, Scott Hensley, Yunling Lou, Paul Moorcroft, Rolf Reichle, Sassan Saatchi, Paul Shepson)   [abstract]

More details may be found in the following project profile(s):