ESTIMATING STAND HEIGHT AND TREE DENSITY IN PINUS TAEDA PLANTATIONS USING IN-SITU DATA, AIRBORNE LIDAR AND K-NEAREST NEIGHBOR IMPUTATION

Estimating Stand Height and Tree Density in Pinus taeda plantations using in-situ data, airborne LiDAR and k-Nearest Neighbor Imputation

ABSTRACT Accurate forest inventory is of great economic importance to optimize the entire supply chain management in pulp and paper companies.The aim of this study was to estimate stand dominate and mean heights (HD and HM) and tree density (TD) of Pinus taeda plantations located in South Brazil using in-situ measurements, airborne Light Detection

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A reliable optimal electric Vehicle charging stations allocation

This paper presents a new and effective approach for optimally allocating Electric Vehicle (EV) stations in a distribution network by integrating electrical and road constraints.The proposed methodology, a two-stage optimization technology, addresses the challenges posed by click here the increasing energy demand caused by the adoption of EVs.In th

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