GISS Personnel Directory
Dr. Mohammad H. Erfani
Columbia University
NASA Goddard Institute for Space Studies
2880 Broadway
New York, NY 10025 USA
E-mail: se2639@columbia.edu
Phone: 212-678-5630
MS: 608
Recent Publications
, M. Erfani, S. Cohen, A.R.J. Downey, and E. Goharian, 2024: A large dataset of fluvial hydraulic and geometry attributes derived from USGS field measurement records. Environ. Model. Softw., 180, 106136, doi:10.1016/j.envsoft.2024.106136.
Asadi Shamsabadi, E., , C. Xu, and D. Dias-da-Costa, 2024: Efficient semi-supervised surface crack segmentation with small datasets based on consistency regularisation and pseudo-labelling. Autom. Constr., 158, 105181, doi:10.1016/j.autcon.2023.105181.
, C. Smith, Z. Wu, E. Asadi Shamsabadi, F. Khatami, A.R.J. Downey, J. Imran, and E. Goharian, 2023: Eye of Horus: A vision-based framework for real-time water level measurement. Hydrol. Earth Syst. Sci., 27, no. 22, 4135-4149, doi:10.5194/hess-27-4135-2023.
, and E. Goharian, 2023: Vision-based texture and color analysis of waterbody images using computer vision and deep learning techniques. J. Hydroinform., 25, no. 3, 835-850, doi:10.2166/hydro.2023.146.
, Z. Wu, X. Wu, S. Wang, and E. Goharian, 2022: ATLANTIS: A benchmark for semantic segmentation of waterbody images. Environ. Model. Softw., 149, 105333, doi:10.1016/j.envsoft.2022.105333.
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