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What is Assessing Tree Species Diversity in Forests Using Combined Remote about?

This study evaluates tree species diversity (TSD) in forests using combined remote sensing data from various satellite imagery and LiDAR metrics. By applying biodiversity indices and machine learning algorithms, the research demonstrates that integrating structural and spectral data significantly enhances TSD estimation. The findings suggest that this approach can effectively monitor forest biodiversity and support precision forest management practices.

Author

zek true

Language

EN