3 citations · 4 across the 5 of their papers we have counts for
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stat.AP2023★ 3 cited
Estimation of boreal forest biomass from ICESat-2 data using hierarchical hybrid inference
Petri Varvia, Svetlana Saarela, Matti Maltamo +5
The ICESat-2, launched in 2018, carries the ATLAS instrument, which is a photon-counting spaceborne lidar that provides strip samples over the terrain. While primarily designed for…
cs.CV2023
Forest Parameter Prediction by Multiobjective Deep Learning of Regression Models Trained with Pseudo-Target Imputation
Sara Björk, Stian N. Anfinsen, Michael Kampffmeyer +3
In prediction of forest parameters with data from remote sensing (RS), regression models have traditionally been trained on a small sample of ground reference data. This paper prop…