The Artificial Intelligence dataset for forest Geographical Applications (TAIGA)

Dataset

2022
TAIGA: A Novel Dataset for Multitask Learning of Continuous and Categorical Forest Variables From Hyperspectral Imagery
Mõttus, M., Pham, P., Halme, E., Molinier, M., Cu, H. & Laaksonen, J., 7 Jan 2022, In: IEEE Transactions on Geoscience and Remote Sensing. 60, 5521711.
Research output: Contribution to journal › Article › Scientific › peer-review

Open Access
16 Link opens in a new tab Citations (Scopus)
2021
Patch size selection for analysis of sub-meter resolution hyperspectral imagery of forests
Mõttus, M., Molinier, M., Halme, E., Cu, H. & Laaksonen, J., 2021, 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS. IEEE Institute of Electrical and Electronic Engineers, p. 2035-2038 4 p.
Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review
5 Link opens in a new tab Citations (Scopus)

Research output