Random Forest Outperformed Convolutional Neural Networks for Shrub Willow Above Ground Biomass Estimation Using Multi-Spectral UAS Imagery

• Published in: 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS pp. 8269 - 8272
• Main Authors: Tamiminia, Haifa, Salehi, Bahram, Mahdianpari, Masoud, Beier, Colin M., Klimkowski, Daniel J., Volk, Timothy A.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 11.07.2021
• Subjects: Above-ground biomass; Biological system modeling; Deep learning; Estimation; machine learning; multi-spectral imagery; Radio frequency; Training; Training data; UAS; Vegetation mapping

Shrub willow is a valuable source of hardwood biomass feedstock which is used for the production of bioenergy, biofuels, and renewable bio-based products. The biomass produced from this short-rotation woody plant can be used for heat and electricity generation. Thus, an accurate estimation of shrub...