Canadian Journal of Remote Sensing
Journal canadien de télédétection
Volume 47, 2021 - Issue 2: Deep Learning for Environmental Applications of Remote Sensing Data
Articles
Comparison of Machine and Deep Learning Methods to Estimate Shrub Willow Biomass from UAS Imagery
Comparaison des méthodes d'apprentissage automatique et en profondeur pour estimer la biomasse du saule arbustif à partir d'images de drones
Haifa Tamiminiaa Department of Environmental Resources Engineering, State University of New York College of Environmental Science and Forestry (ESF), Syracuse, NY13210, USA
https://orcid.org/0000-0002-0190-9035View further author information
https://orcid.org/0000-0002-0190-9035View further author information, Bahram Salehia Department of Environmental Resources Engineering, State University of New York College of Environmental Science and Forestry (ESF), Syracuse, NY13210, USAhttps://orcid.org/0000-0002-7742-5475View further author information
https://orcid.org/0000-0002-7742-5475View further author information, Masoud Mahdianparib C-CORE and Department of Electrical and Computer Engineering, Memorial University of Newfoundland, St. John’s, NLA1B 3X5, CanadaCorrespondence[email protected]
https://orcid.org/0000-0002-7234-959XView further author information
https://orcid.org/0000-0002-7234-959XView further author information, , & Timothy A. Volkc Sustainable Resources Management, State University of New York College of Environmental Science and Forestry (ESF), New York, NY13210, USAhttps://orcid.org/0000-0002-6969-9281View further author information
https://orcid.org/0000-0002-6969-9281View further author information