Hamed Alemohammad

According to our database, Hamed Alemohammad authored at least 21 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

No One Knows the State of the Art in Geospatial Foundation Models.

Isaac Corley, Nils Lehmann, Caleb Robinson, Gabriel Tseng, Anthony Fuller, Hamed Alemohammad, Evan Shelhamer, Jennifer Marcus, Hannah Kerner

CoRR, May, 2026

2025

Leveraging AI multimodal geospatial foundation models for improved near-real-time flood mapping at a global scale.

Mirela G. Tulbure, Julio Caineta, Mark Broich, Mollie D. Gaines, Philippe Rufin, Leon-Friedrich Thomas, Hamed Alemohammad, Jan Hemmerling, Patrick Hostert

CoRR, December, 2025

GEO-Bench-2: From Performance to Capability, Rethinking Evaluation in Geospatial AI.

Naomi Simumba, Nils Lehmann, Paolo Fraccaro, Hamed Alemohammad, Geeth De Mel, Salman H. Khan, Manil Maskey, Nicolas Longépé, Xiao Xiang Zhu, Hannah Kerner, Juan Bernabé-Moreno, Alexander Lacoste

CoRR, November, 2025

2024

Prithvi-EO-2.0: A Versatile Multi-Temporal Foundation Model for Earth Observation Applications.

Daniela Szwarcman, Sujit Roy, Paolo Fraccaro, Þorsteinn Elí Gíslason, Benedikt Blumenstiel, Rinki Ghosal, Pedro Henrique de Oliveira, João Lucas de Sousa Almeida, Rocco Sedona, Yanghui Kang, Srija Chakraborty, Sizhe Wang, Ankur Kumar, Myscon Truong, Denys Godwin, Hyunho Lee, Chia-Yu Hsu, Ata Akbari Asanjan, Besart Mujeci, Trevor Keenan, Paulo Arévalo, Wenwen Li, Hamed Alemohammad, Pontus Olofsson, Christopher Hain, Robert Kennedy, Bianca Zadrozny, Gabriele Cavallaro, Campbell D. Watson, Manil Maskey, Rahul Ramachandran, Juan Bernabé-Moreno

CoRR, 2024

Local vs. Global: Local Land-Use and Land-Cover Models Deliver Higher Quality Maps.

Girmaw Abebe Tadesse, Caleb Robinson, Charles Mwangi, Esther Maina, Joshua Nyakundi, Luana Marotti, Gilles Quentin Hacheme, Hamed Alemohammad, Rahul Dodhia, Juan M. Lavista Ferres

CoRR, 2024

Generalization Enhancement Strategies to Enable Cross-year Cropland Mapping with Convolutional Neural Networks Trained Using Historical Samples.

Sam Khallaghi, Rahebe Abedi, Hanan Abou Ali, Hamed Alemohammad, Mary Dziedzorm Asipunu, Ismail Alatise, Nguyen Ha, Boka Luo, Cat Mai, Lei Song, Amos Wussah, Sitian Xiong, Yao-Ting Yao, Qi Zhang, Lyndon D. Estes

CoRR, 2024

Seeing Through the Clouds: Cloud Gap Imputation with Prithvi Foundation Model.

Denys Godwin, Hanxi Li, Michael Cecil, Hamed Alemohammad

CoRR, 2024

Yield estimation from SAR data using patch-based deep learning and machine learning techniques.

Mahya G. Z. Hashemi, Pang-Ning Tan, Ehsan Jalilvand, Brook Wilke, Hamed Alemohammad, Narendra N. Das

Comput. Electron. Agric., 2024

2023

Foundation Models for Generalist Geospatial Artificial Intelligence.

Johannes Jakubik, Sujit Roy, C. E. Phillips, Paolo Fraccaro, Denys Godwin, Bianca Zadrozny, Daniela Szwarcman, Carlos Gomes, Gabby Nyirjesy, Blair Edwards, Daiki Kimura, Naomi Simumba, Linsong Chu, S. Karthik Mukkavilli, Devyani Lambhate, Kamal Das, Ranjini Bangalore, Dário A. B. Oliveira, Michal Muszynski, Kumar Ankur, Muthukumaran Ramasubramanian, Iksha Gurung, Sam Khallaghi, Hanxi Li, Michael Cecil, Maryam Ahmadi, Fatemeh Kordi, Hamed Alemohammad, Manil Maskey, Raghu K. Ganti, Kommy Weldemariam, Rahul Ramachandran

CoRR, 2023

GEO-Bench: Toward Foundation Models for Earth Monitoring.

Alexandre Lacoste, Nils Lehmann, Pau Rodríguez, Evan D. Sherwin, Hannah Kerner, Björn Lütjens, Jeremy Irvin, David Dao, Hamed Alemohammad, Alexandre Drouin, Mehmet Gunturkun, Gabriel Huang, David Vázquez, Dava J. Newman, Yoshua Bengio, Stefano Ermon, Xiaoxiang Zhu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Estimating Soil Moisture Profiles by Combining P-Band SAR with Hydrological Modeling.

Anke Fluhrer, Thomas Jagdhuber, Carsten Montzka, Maike Schumacher, Hamed Alemohammad, Alireza Tabatabaeenejad, Harald Kunstmann, Dara Entekhabi

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2021

Toward Foundation Models for Earth Monitoring: Proposal for a Climate Change Benchmark.

Alexandre Lacoste, Evan David Sherwin, Hannah Kerner, Hamed Alemohammad, Björn Lütjens, Jeremy Irvin, David Dao, Alex Chang, Mehmet Gunturkun, Alexandre Drouin, Pau Rodríguez, David Vázquez

CoRR, 2021

Surface Water Detection from Sentinel-1.

Brookie Guzder-Williams, Hamed Alemohammad

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Complex Permittivity and Penetration Depth Estimation from Airborne P-Band SAR Data Applying a Hybrid Decomposition Method.

Anke Fluhrer, Thomas Jagdhuber, Alireza Tabatabaeenejad, Hamed Alemohammad, Carsten Montzka, Maike Schumacher, Harald Kunstmann

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

The Case for Open-Access ML-Ready Geospatial Training Data.

Hamed Alemohammad

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2020

LandCoverNet: A global benchmark land cover classification training dataset.

Hamed Alemohammad, Kevin Booth

CoRR, 2020

Generating Synthetic Multispectral Satellite Imagery from Sentinel-2.

Tharun Mohandoss, Aditya Kulkarni, Daniel Northrup, Ernest Mwebaze, Hamed Alemohammad

CoRR, 2020

Semantic Segmentation of Medium-Resolution Satellite Imagery using Conditional Generative Adversarial Networks.

Aditya Kulkarni, Tharun Mohandoss, Daniel Northrup, Ernest Mwebaze, Hamed Alemohammad

CoRR, 2020

Proceedings of the ICLR Workshop on Computer Vision for Agriculture (CV4A) 2020.

Yannis Kalantidis, Laura Sevilla-Lara, Ernest Mwebaze, Dina Machuve, Hamed Alemohammad, David Guerena

CoRR, 2020

2019

Detecting Roads from Satellite Imagery in the Developing World.

Yoni Nachmany, Hamed Alemohammad

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018

Generating a Training Dataset for Land Cover Classification to Advance Global Development.

Yoni Nachmany, Hamed Alemohammad

CoRR, 2018