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Global Ecology and Biogeography - 2025 - Eichenwald - Leveraging Remote Sensing and Theory To Predict Tree Size Abundance by Silvio Vidal de Miranda Junior Silvio is a document available to read on EtoBox.

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The document discusses a novel approach to predicting tree size-abundance distributions using remote sensing (RS) technologies, particularly integrating RGB imagery with ecological scaling theory and LiDAR data. It highlights the challenges of accurately assessing understory vegetation due to occlusion and proposes a workflow that enhances predictions of forest structure across various forest types in North America. Future directions include refining the method by incorporating species classifications and m

Author

Silvio Vidal de Miranda Junior Silvio

Language

EN