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- W4312979410 abstract "In order to estimate tree biomass, allometric equations take tree parameters such as tree height, wood density, circumference of trunk, and crown diameter as input parameters. Given that most of these quantities are challenging to be extracted from remote sensing data, we evaluate the option to approximate biomass by tree height only. We study our approach by evaluating linear regression, random forest, and Gaussian process regressor models when applied to the 2016 Jucker dataset. Results indicate that linear models fail to properly capture the relationship between biomass and tree height, but the Gaussian process regressor outperms the other two candidate models." @default.
- W4312979410 created "2023-01-05" @default.
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- W4312979410 date "2022-07-17" @default.
- W4312979410 modified "2023-10-18" @default.
- W4312979410 title "Towards Global Forest Biomass Estimators from Tree Height Data" @default.
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- W4312979410 doi "https://doi.org/10.1109/igarss46834.2022.9884904" @default.
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