Deep Hybrid Wavelet Network for Ice Boundary Detection in Radra Imagery. - Hamid Kamangir; Maryam Rahnemoonfar; Dugan Dobbs; John Paden; Geoffrey C. Fox (IGARSS, 2018)

A Deep Learning Approach to Urban Street Functionality Prediction Based on Centrality Measures and Stacked Denoising Autoencoder. - Fatemeh Noori; Hamid Kamangir; Scott A. King; Alaa F. Sheta; Mohammad Pashaei; Abbas SheikhMohammadZadeh (ISPRS Int. J. Geo Inf., 2020)

Review and Evaluation of Deep Learning Architectures for Efficient Land Cover Mapping with UAS Hyper-Spatial Imagery: A Case Study Over a Wetland. - Mohammad Pashaei; Hamid Kamangir; Michael J. Starek; Philippe Tissot (Remote. Sens., 2020)

Deep Learning-Based Single Image Super-Resolution: An Investigation for Dense Scene Reconstruction with UAS Photogrammetry. - Mohammad Pashaei; Michael J. Starek; Hamid Kamangir; Jacob Berryhill (Remote. Sens., 2020)

Simultaneously Predicting Multiple Plant Traits from Multiple Sensors via Deformable CNN Regression. - Pranav Raja; Alex Olenskyj; Hamid Kamangir; Mason Earles (CoRR, 2021)

Deep Learning Automatic Detection of the Wet/Dry Shoreline at Fish Pass, Texas. - Marina Vicens Miquel; F. Antonio Medrano; Philippe Tissot; Hamid Kamangir; Michael J. Starek (IGARSS, 2022)

Importance of 3D convolution and physics on a deep learning coastal fog model. - Hamid Kamangir; Evan Krell; Waylon Collins; Scott A. King; Philippe Tissot (Environ. Model. Softw., 2022)

Evaluation and calibration of low-cost off-the-shelf particulate matter sensors using machine learning techniques. - Mohammad Ghamari; Hamid Kamangir; Keyvan Arezoo; Khalil Alipour (IET Wirel. Sens. Syst., 2022)

A Deep Learning Based Method to Delineate the Wet/Dry Shoreline and Compute Its Elevation Using High-Resolution UAS Imagery. - Marina Vicens Miquel; F. Antonio Medrano; Philippe Tissot; Hamid Kamangir; Michael J. Starek; Katie Colburn (Remote. Sens., 2022)

CMAViT: Integrating Climate, Managment, and Remote Sensing Data for Crop Yield Estimation with Multimodel Vision Transformers. - Hamid Kamangir; Brent S. Sams; Nick Dokoozlian; Luis Sanchez 001; J. Mason Earles (CoRR, 2024)

Large-scale spatio-temporal yield estimation via deep learning using satellite and management data fusion in vineyards. - Hamid Kamangir; Brent S. Sams; Nick Dokoozlian; Luis Sanchez 001; J. Mason Earles (Comput. Electron. Agric., 2024)

California Crop Yield Benchmark: Combining Satellite Image, Climate, Evapotranspiration, and Soil Data Layers for County-Level Yield Forecasting of Over 70 Crops. - Hamid Kamangir; Mona Hajiesmaeeli; J. Mason Earles (CVPR Workshops, 2025)

Predicting crop yield lows through the highs via binned deep imbalanced regression: A case study on vineyards. - Hamid Kamangir; Brent S. Sams; Nick Dokoozlian; Luis Sanchez 001; J. Mason Earles (Int. J. Appl. Earth Obs. Geoinformation, 2025)