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Use of vegetation change tracker, spatial analysis, and random forest regression to assess the evolution of plantation stand age in Southeast China

Jiaojiao Diao, Tuo Feng, Mingshi Li, Zhiliang Zhu, Jinxun Liu, Gregory S. Biging, Guang Zheng, Wenjuan Shen, Heng Wang, Jingrui Wang, Biyong Ji

2020Annals of Forest Science35 citationsDOIOpen Access PDF

Topics & Concepts

Random forestVegetation (pathology)Forest managementChinaForest inventoryForest restorationForest ecologyGeographySpatial distributionSustainable forest managementEnvironmental scienceForestryRemote sensingPhysical geographyAgroforestryEcosystemEcologyComputer sciencePathologyMachine learningArchaeologyMedicineBiologyRemote Sensing in AgricultureLand Use and Ecosystem ServicesRemote Sensing and LiDAR Applications
Use of vegetation change tracker, spatial analysis, and random forest regression to assess the evolution of plantation stand age in Southeast China | Litcius