Eelis Halme
cris.vtt.fi
0000-0002-7517-6663
VTT Technical Research Centre of Finland
7 papers found
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Improved parametrisation of a physically-based forest reflectance model for retrieval of boreal forest structural properties
Assessing spatial variability and estimating mean crown diameter in boreal forests using variograms and amplitude spectra of very-high-resolution remote sensing data
TAIGA: A Novel Dataset for Multitask Learning of Continuous and Categorical Forest Variables From Hyperspectral Imagery
Patch Size Selection for Analysis of Sub-Meter Resolution Hyperspectral Imagery of Forests
Deep Neural Networks with Transfer Learning for Forest Variable Estimation Using Sentinel-2 Imagery in Boreal Forest
A Methodology for Implementing a Digital Twin of the Earth’s Forests to Match the Requirements of Different User Groups
Utility of hyperspectral compared to multispectral remote sensing data in estimating forest biomass and structure variables in Finnish boreal forest
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