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Stochastic gradient boosting classification trees for forest fuel types mapping through airborne laser scanning and IRS LISS-III imagery.

, , , , , , , , , and . Int. J. Appl. Earth Obs. Geoinformation, (2013)

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Evaluating the Effects of Environmental Changes on the Gross Primary Production of Italian Forests., , , , , , and . Remote Sensing, 1 (4): 1108-1124 (2009)Large-scale high-resolution yearly modeling of forest growing stock volume and above-ground carbon pool., , , , , , , , , and 1 other author(s). Environ. Model. Softw., (2023)LaDy: software for assessing local landscape diversity profiles of raster land cover maps using geographic windows., , , , and . Environ. Model. Softw., 18 (3-4): 373-378 (2003)THz Water Transmittance and Leaf Surface Area: An Effective Nondestructive Method for Determining Leaf Water Content., , , , , , , , , and 1 other author(s). Sensors, 19 (22): 4838 (2019)Wall-to-wall spatial prediction of growing stock volume based on Italian National Forest Inventory plots and remotely sensed data., , , , , , , and . Int. J. Appl. Earth Obs. Geoinformation, (2020)Stochastic gradient boosting classification trees for forest fuel types mapping through airborne laser scanning and IRS LISS-III imagery., , , , , , , , , and . Int. J. Appl. Earth Obs. Geoinformation, (2013)Estimation of canopy attributes in beech forests using true colour digital images from a small fixed-wing UAV., , , , , , , and . Int. J. Appl. Earth Obs. Geoinformation, (2016)Combination of optical and LiDAR satellite imagery with forest inventory data to improve wall-to-wall assessment of growing stock in Italy., , , , , and . Int. J. Appl. Earth Obs. Geoinformation, (2014)Above ground biomass and tree species richness estimation with airborne lidar in tropical Ghana forests., , , , , and . Int. J. Appl. Earth Obs. Geoinformation, (2016)Airborne laser scanning of forest resources: An overview of research in Italy as a commentary case study., , , , , and . Int. J. Appl. Earth Obs. Geoinformation, (2013)