Optimizing Field Data Collection for Individual Tree Attribute Predictions Using Active Learning Methods - Malek, Salim; Miglietta, Franco; Gobakken, Terje; Næsset, Erik; Gianelle, Damiano; Dalponte, Michele (Remote sensing (Basel, Switzerland), 2019)
Keywords: aboveground biomass; Active learning; Biomass; Boreal forests; Carbon; Classification; Data acquisition; Data collection; Datasets; diameter at breast height; Ecological monitoring; Ecosystems; Forest management; forestry; Forests; Independent variables; Learning; Lidar; Mapping; Optimization; Prediction models; Regression analysis; Remote sensing; Standard data; Support vector machines; support vector regression; Taiga; Trees; Vegetation; United States--US; Norway; Italy