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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)

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Performance evaluation of lightweight LiDAR for UAV applications., , , , , , and . IGARSS, page 792-795. IEEE, (2014)A climate-sensitive forest model for assessing impacts of forest management in Europe., , , , , , , , , and 9 other author(s). Environ. Model. Softw., (2019)High-Resolution Canopy Height Mapping: Integrating NASA's Global Ecosystem Dynamics Investigation (GEDI) with Multi-Source Remote Sensing Data., , , , , , , , and . Remote. Sens., 16 (7): 1281 (April 2024)The Effect of Forest Mask Quality in the Wall-to-Wall Estimation of Growing Stock Volume., , , , , , , and . Remote. Sens., 13 (5): 1038 (2021)The Use of Remotely Sensed Data and Polish NFI Plots for Prediction of Growing Stock Volume Using Different Predictive Methods., , , , , , , , , and 2 other author(s). Remote. Sens., 12 (20): 3331 (2020)UAV Remote Sensing for Biodiversity Monitoring: Are Forest Canopy Gaps Good Covariates?, , , , and . Remote. Sens., 10 (9): 1397 (2018)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)Global Airborne Laser Scanning Data Providers Database (GlobALS)—A New Tool for Monitoring Ecosystems and Biodiversity, , , , , , and . Remote Sensing, 12 (11): 1877 (June 2020)Evaluating the Effects of Environmental Changes on the Gross Primary Production of Italian Forests., , , , , , and . Remote Sensing, 1 (4): 1108-1124 (2009)Biomass Estimation of Xerophytic Forests Using Visible Aerial Imagery: Contrasting Single-Tree and Area-Based Approaches., , and . Remote Sensing, 9 (4): 334 (2017)