Hamed Alemohammad

Hamed Alemohammad

Director of Center for Geospatial Analytics and Associate Professor at the Graduate School of Geography at Clark University

Publications

You can find the full list of my articles on my Google Scholar profile.

Peer-Reviewed Journal Publications

  1. Fluhrer A., Alemohammad H., Jagdhuber T., Analyzing the dihedral scattering component of P-band SAR signals for trunk permittivity estimation (in review)
  2. Jakubik J., Roy S., Phillips C.E., … , Alemohammad H., Maskey M., Ganti R., Weldemariam K., Ramachandran R., Foundation Models for Generalist Geospatial Artificial Intelligence (in review)
  3. Hashemi M.G.Z., Alemohammad H., Jalilvand E., Tan P.N., Judge J., Cosh M., Das N.N. Estimating Crop Biophysical Parameters from Satellite-based SAR and Optical Observations using Self-Supervised Learning with Geospatial Foundation Models (in review)
  4. Hashemi M.G.Z., Jalilvand E., Alemohammad H., Tan P.N., Das N.N. (2024) A Systematic Review of Synthetic Aperture Radar and Deep Learning in Agricultural Applications, ISPRS Journal of Photogrammetry and Remote Sensing, 218(A), 20-49.
  5. Hashemi M.G.Z., Tan P.N., Jalilvand E., Wilke B., Alemohammad H., Das N.N. (2024) Yield Estimation from SAR Data Using Patch-Based Deep Learning and Machine Learning Techniques, Computers and Electronics in Agriculture, 226, 109340.
  6. Fluhrer A., Jagdhuber T., Montzka C., Schumacher M., Alemohammad H., Tabatabaeenejad A., Kunstmann H., Entekhabi D. (2024), Soil Moisture Profile Estimation by Combining P-band SAR Polarimetry with Hydrological and Multi-Layer Scattering Models, Remote Sensing of Environment, 305, 114067.
  7. Gurung I., Ramasubhramanian M., Freitag B., Kaulfus A., Maskey M., Ramachandran R., Alemohammad H. (2023), Tropical cyclone wind speed estimation: A large scale training data set and community benchmarking. Earth and Space Science, 10, e2022EA002693.
  8. Fluhrer A, Jagdhuber T, Tabatabaeenejad A, Alemohammad H, Montzka C, Friedl P, Forootan E, Kunstmann H. (2022), Remote Sensing of Complex Permittivity and Penetration Depth of Soils Using P-Band SAR Polarimetry. Remote Sensing,14(12):2755.
  9. Tottrup C., Druce D., Meyer R.P., Christensen M., Riffler M., Dulleck B., Rastner P., Jupova K., Sokoup T., Haag A., Cordeiro M.C.R., Martinez J.-M., Franke J., Schwarz M., Vanthof V., Liu S., Zhou H., Marzi D., Rudiyanto R., Thompson M., Hiestermann J., Alemohammad H., et al. (2022) Surface Water Dynamics from Space: A Round Robin Intercomparison of Using Optical and SAR High-Resolution Satellite Observations for Regional Surface Water Detection, Remote Sensing, 14(10).
  10. Elmes, A., Alemohammad S.H., et al. (2020), Accounting for Training Data Error in Machine Learning Applied to Earth Observations, Remote Sensing, 12(6).
  11. Alemohammad S.H., Jagdhuber T., Moghaddam M., Entekhabi D. (2019), Soil and Vegetation Scattering Contributions in L- and P- Band Polarimetric SAR Observations, IEEE Transactions on Geoscience and Remote Sensing, 57(11), 8417-8429.
  12. Gentine P., Massmann A., Lintner B.R., Alemohammad S.H., et al. (2019), Land–Atmosphere Interactions in the Tropics–A Review, Hydrology and Earth System Sciences, 23(10), 4171-4197.
  13. Khazaei B., Khatami S., Alemohammad S.H., et al. (2019), Climatic or Regionally Induced by Humans? Tracing Hydro-Climatic and Land-Use Changes to Better Understand the Lake Urmia Tragedy, Journal of Hydrology, 569, 203-217.
  14. Jagdhuber T., Konings A.G., McColl K.A., Alemohammad S.H., Das N. N., Montzka C., Link M., Akbar R., Entekhabi D. (2019), Physically-Based Modelling of the SMAP Active-Passive Soil Moisture Algorithm, IEEE Trans. on Geoscience and Remote Sensing, 57(2), 788-802.
  15. Alemohammad S.H., Kolassa J., Prigent C., Aires F., Gentine P. (2018), Global Downscaling of Remotely-Sensed Soil Moisture using Neural Networks, Hydrology and Earth System Sciences, 22(10), 5341-5356.
  16. Zhang Y., Joiner J., Alemohammad S.H., Zhou S., Gentine P. (2018), A global spatially Continuous Solar Induced Fluorescence (CSIF) dataset using neural networks, Biogeosciences, 15(19), 5779-5800.
  17. Giardina F., Konings A.G., Kennedy D., Alemohammad S.H., Oliveira R., Uriarte M., Gentine P. (2018), Tall Amazonian forests are less sensitive to precipitation variability, Nature Geoscience, 11, 405-409.
  18. Gentine P., Alemohammad S.H. (2018), RSIF (Reconstructed Solar Induced Fluorescence): a machine-learning vegetation index based on Moderate Resolution Imaging Spectroradiometer surface reflectance and GOME-2 solar induced fluorescence, Geophysical Research Letters, 45.
  19. Alemohammad S.H., Konings A.G., Jagdhuber T., Moghaddam M., Entekhabi D. (2018), Characterization of Vegetation and Soil Scattering Mechanisms across Different Biomes using P-band SAR Polarimetry, Remote Sensing of Environment, 209, 107-117
  20. Kolassa J., Reichle R.H., Liu Q., Alemohammad S.H., Gentine P., et al. (2018), Estimating surface soil moisture from SMAP observations using a Neural Network technique, Remote Sensing of Environment, 204, 43-59.
  21. Alemohammad S.H., Fang B., Konings A.G., Green J., Kolassa J., Prigent C., Aires F., Miralles D., Gentine P. (2017), WECANN: Water, Energy, Carbon, Artificial Neural Network, a Microwave and Solar-Induced Fluorescence based statistical retrieval of surface turbulent fluxes, Biogeosciences, 14, 4101-4124.
  22. Green J.A., Konings A.G., Alemohammad S.H., Berry J., Entekhabi D., Kolassa J., Lee J.-E., Gentine P. (2017), Regionally strong feedbacks between the atmosphere and terrestrial biosphere, Nature Geoscience, 10(6), 410-414.
  23. Kolassa J., Gentine P., Prigent C., Aires F., Alemohammad S.H. (2017), Soil Moisture Retrieval from AMSR-E and ASCAT Microwave Observation Synergy. Part 2: Product Evaluation, Remote Sensing of Environment, 195, 202-217.
  24. McColl, K.A., Alemohammad S.H., Akbar R., Konings A.G., Yueh S., Entekhabi D. (2017), The global distribution and dynamics of surface soil moisture, Nature Geoscience, 10(2), 100-104.
  25. McColl K.A., Roy A., Derksen C., Konings A.G., Alemohammad S.H., Entekhabi D. (2016), Triple collocation for binary and categorical variables: application to validating landscape freeze/thaw retrievals, Remote Sensing of Environment, 176, 31-42.
  26. Alemohammad S.H., McLaughlin D., Entekhabi D. (2015), Characterization of Precipitation Forcing Uncertainty in Land Data Assimilation Using an Ensemble-Based Bayesian Approach, Monthly Weather Review, 143(8), 3276-3299.
  27. Alemohammad S.H., McColl K.A., Konings A.G., Entekhabi D., Stoffelen A. (2015), Characterization of Precipitation Product Errors across the United States using Multiplicative Triple Collocation, Hydrology and Earth System Sciences, 19(8), 3489-3503.
  28. Alemohammad S.H., Entekhabi D., McLaughlin D. (2014), Evaluation of Long-Term SSM/I-based Precipitation Records Over Land, Journal of Hydrometeorology, 15(5), 2012-2029.
  29. Wojcik R., McLaughlin D., Alemohammad S.H., Entekhabi D. (2014), Ensemble-based Characterization of Uncertain Environmental Features, Advances in Water Resources, 70, 36-50.
  30. Alemohammad S.H., Ardakanian R. (2010), Sea Level Rise and Global Warming (A Literature Review), Journal of Civil Engineering Islamic Azad University, 2(1), 26-32, (in Persian).