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Labeling 3D point cloud data with traditional supervised learning methods requires considerable labelled samples, the collection of which is cost and time expensive. This work focuses on adopting doma...
Forest disturbance induced by tropical cyclone often has significant and profound effects on the structure and function of forest ecosystem. Detection and analysis of post-disaster forest disturbance ...
To address climate change, accurate and automated forest cover monitoring is crucial. In this study, we propose a Convolutional Neural Network (CNN) which mimics professional interpreters’ manual tech...
Within the framework of the European MCPFE process, the state of forests and forest management is assessed on the basis of the state and changes of six Helsinki criteria and subordinated sustainable m...
DETECTION AND PREDICTION OF SPONTANEOUS AFFORESTATION USING MULTISPECTRAL SATELLITE DATA AND GIS METHODS。
Global positioning sistem is contemporarily tool for acquiring up-to-date and precise spatial data in forestry. Accuracy of GPS measurements alternate between 1-15 meters, depending on work method and...

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