TAIGA: a novel dataset for multitask learning of continuous and categorical forest variables from hyperspectral imagery

Matti Mottus, Phu Pham, Eelis Halme, Matthieu Molinier, Hai Cu, Jorma Laaksonen

Research output: Contribution to journal › Article › Scientific › peer-review

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-: Artificial Intelligence for Retrieval of Forest Biomass & Structure
Laaksonen, J. (Principal investigator), Guo, Z. (Project Member), Anwer, R. (Project Member) & Wang, T.-J. (Project Member)
01/01/2018 → 31/12/2022
Project: Academy of Finland: Other research funding