Comparison of Machine and Deep Learning Methods to Estimate Shrub Willow Biomass from UAS Imagery
Shrub willow is considered an important dedicated energy crop in temperate climates for the production of bioenergy, biofuels, and bio-based products. A methodology to rapidly and accurately estimate above-ground biomass (AGB) is essential for understanding potential biomass supply, identifying pote...
Main Authors: | Haifa Tamiminia, Bahram Salehi, Masoud Mahdianpari, Colin M. Beier, Daniel J. Klimkowski, Timothy A. Volk |
---|---|
Format: | Article |
Language: | English |
Published: |
Taylor & Francis Group
2021-03-01
|
Series: | Canadian Journal of Remote Sensing |
Online Access: | http://dx.doi.org/10.1080/07038992.2021.1926952 |
Similar Items
-
Mapping Two Decades of New York State Forest Aboveground Biomass Change Using Remote Sensing
by: Haifa Tamiminia, et al.
Published: (2022-08-01) -
Quantifying Aboveground Biomass of Shrubs Using Spectral and Structural Metrics Derived from UAS Imagery
by: Lucy G. Poley, et al.
Published: (2020-07-01) -
A COMPARATIVE ANALYSIS OF PIXEL-BASED AND OBJECT-BASED APPROACHES FOR FOREST ABOVE-GROUND BIOMASS ESTIMATION USING RANDOM FOREST MODEL
by: H. Tamiminia, et al.
Published: (2022-07-01) -
EVALUATING PIXEL-BASED AND OBJECT-BASED APPROACHES FOR FOREST ABOVE-GROUND BIOMASS ESTIMATION USING A COMBINATION OF OPTICAL, SAR, AND AN EXTREME GRADIENT BOOSTING MODEL
by: H. Tamiminia, et al.
Published: (2022-05-01) -
Enzymatic Saccharification of Shrub Willow Genotypes with Differing Biomass Composition for Biofuel Production
by: Michelle J. Serapiglia, et al.
Published: (2013-03-01)