Generating a Training Dataset for Land Cover Classification to Advance Global Development. - Yoni Nachmany; Hamed Alemohammad (CoRR, 2018)

Detecting Roads from Satellite Imagery in the Developing World. - Yoni Nachmany; Hamed Alemohammad (CVPR Workshops, 2019)

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)

Semantic Segmentation of Medium-Resolution Satellite Imagery using Conditional Generative Adversarial Networks. - Aditya Kulkarni; Tharun Mohandoss; Daniel Northrup; Ernest Mwebaze; Hamed Alemohammad (CoRR, 2020)

Generating Synthetic Multispectral Satellite Imagery from Sentinel-2. - Tharun Mohandoss; Aditya Kulkarni; Daniel Northrup; Ernest Mwebaze; Hamed Alemohammad (CoRR, 2020)

LandCoverNet: A global benchmark land cover classification training dataset. - Hamed Alemohammad; Kevin Booth (CoRR, 2020)

The Case for Open-Access ML-Ready Geospatial Training Data. - Hamed Alemohammad (IGARSS, 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 (IGARSS, 2021)

Surface Water Detection from Sentinel-1. - Brookie Guzder-Williams; Hamed Alemohammad (IGARSS, 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 001 (CoRR, 2021)

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 (IGARSS, 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; et al. (NeurIPS, 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; et al. (CoRR, 2023)

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)

Seeing Through the Clouds: Cloud Gap Imputation with Prithvi Foundation Model. - Denys Godwin; Hanxi Li; Michael Cecil; Hamed Alemohammad (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; et al. (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)

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; et al. (CoRR, 2024)