A particle swarm optimized kernel-based clustering method for crop mapping from multi-temporal polarimetric L-band SAR observations. - Haifa Tamiminia; Saeid Homayouni; Heather McNairn; Abdolreza Safari (Int. J. Appl. Earth Obs. Geoinformation, 2017)

Wetland Monitoring Using SAR Data: A Meta-Analysis and Comprehensive Review. - Sarina Adeli; Bahram Salehi; Masoud MahdianPari; Lindi J. Quackenbush; Brian Brisco; Haifa Tamiminia; Stephen Shaw (Remote. Sens., 2020)

Random Forest Outperformed Convolutional Neural Networks for Shrub Willow Above Ground Biomass Estimation Using Multi-Spectral UAS Imagery. - Haifa Tamiminia; Bahram Salehi; Masoud MahdianPari; Colin M. Beier; Daniel J. Klimkowski; Timothy A. Volk (IGARSS, 2021)

Mapping Two Decades of New York State Forest Aboveground Biomass Change Using Remote Sensing. - Haifa Tamiminia; Bahram Salehi; Masoud MahdianPari; Colin M. Beier; Lucas K. Johnson (Remote. Sens., 2022)

Generating A 10 M Resolution Canopy Height Model Of New York State Using Gedi And Sentinel-2 Data. - Haifa Tamiminia; Bahram Salehi; Masoud MahdianPari (IGARSS, 2023)

State-wide forest canopy height and aboveground biomass map for New York with 10 m resolution, integrating GEDI, Sentinel-1, and Sentinel-2 data. - Haifa Tamiminia; Bahram Salehi; Masoud MahdianPari; Tristan Goulden (Ecol. Informatics, 2024)