Hamed Alemohammad
Hamed Alemohammad
Director of Center for Geospatial Analytics; Associate Professor at Clark University
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Cited by
Cited by
The global distribution and dynamics of surface soil moisture
KA McColl, SH Alemohammad, R Akbar, AG Konings, S Yueh, ...
Nature Geoscience 10 (2), 100-104, 2017
Regionally strong feedbacks between the atmosphere and terrestrial biosphere
JK Green, AG Konings, SH Alemohammad, J Berry, D Entekhabi, ...
Nature geoscience 10 (6), 410-414, 2017
Climatic or regionally induced by humans? Tracing hydro-climatic and land-use changes to better understand the Lake Urmia tragedy
B Khazaei, S Khatami, SH Alemohammad, L Rashidi, C Wu, K Madani, ...
Journal of Hydrology, 2019
A global spatially contiguous solar-induced fluorescence (CSIF) dataset using neural networks
Y Zhang, J Joiner, SH Alemohammad, S Zhou, P Gentine
Biogeosciences 15 (19), 5779-5800, 2018
Tall Amazonian forests are less sensitive to precipitation variability
F Giardina, AG Konings, D Kennedy, SH Alemohammad, RS Oliveira, ...
Nature Geoscience, 2018
Characterization of precipitation product errors across the United States using multiplicative triple collocation
SH Alemohammad, KA McColl, AG Konings, D Entekhabi, A Stoffelen
Hydrology and Earth System Sciences 19 (8), 3489-3503, 2015
Water, Energy, and Carbon with Artificial Neural Networks (WECANN): A statistically-based estimate of global surface turbulent fluxes using solar-induced fluorescence
SH Alemohammad, B Fang, AG Konings, JK Green, J Kolassa, C Prigent, ...
Biogeosciences, 2017
Estimating surface soil moisture from SMAP observations using a Neural Network technique
J Kolassa, RH Reichle, Q Liu, SH Alemohammad, P Gentine, K Aida, ...
Remote sensing of environment 204, 43-59, 2018
RSIF (Reconstructed Solar Induced Fluorescence): a machine‐learning vegetation product based on MODIS surface reflectance to reproduce GOME‐2 solar induced fluorescence
P Gentine, SH Alemohammad
Geophysical Research Letters, 2018
Global Downscaling of Remotely-Sensed Soil Moisture using Neural Networks
SH Alemohammad, J Kolassa, C Prigent, F Aires, P Gentine
Soil moisture retrieval from AMSR-E and ASCAT microwave observation synergy. Part 2: Product evaluation
J Kolassa, P Gentine, C Prigent, F Aires, SH Alemohammad
Remote Sensing of Environment 195, 202-217, 2017
Accounting for training data error in machine learning applied to Earth observations
A Elmes, H Alemohammad, R Avery, K Caylor, JR Eastman, L Fishgold, ...
Remote Sensing 12 (6), 1034, 2020
Land–atmosphere interactions in the tropics–a review
P Gentine, A Massmann, BR Lintner, S Hamed Alemohammad, R Fu, ...
Hydrology and Earth System Sciences 23 (10), 4171-4197, 2019
Triple collocation for binary and categorical variables: Application to validating landscape freeze/thaw retrievals
KA McColl, A Roy, C Derksen, AG Konings, SH Alemohammad, ...
Remote Sensing of Environment 176, 31–42, 2016
Physics-Based Modeling of Active and Passive Microwave Covariations Over Vegetated Surfaces
T Jagdhuber, AG Konings, KA McColl, SH Alemohammad, NN Das, ...
IEEE Transactions on geoscience and remote sensing 57 (2), 788-802, 2019
Detecting roads from satellite imagery in the developing world
Y Nachmany, H Alemohammad
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
Advancing AI for Earth science: A data systems perspective
M Maskey, H Alemohammad, KJ Murphy, R Ramachandran
Eos 101, 25, 2020
Quantifying Precipitation Uncertainty for Land Data Assimilation Applications
SH Alemohammad, DB McLaughlin, D Entekhabi
Monthly Weather Review 143 (8), 3276-3299, 2015
Soil and Vegetation Scattering Contributions in L-Band and P-Band Polarimetric SAR Observations
SH Alemohammad, T Jagdhuber, M Moghaddam, D Entekhabi
IEEE Transactions on Geoscience and Remote Sensing, 2019
Characterization of Vegetation and Soil Scattering Mechanisms across Different Biomes using P-band SAR Polarimetry
SH Alemohammad, AG Konings, T Jagdhuber, M Moghaddam, ...
Remote Sensing of Environment 209, 107-117, 2018
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