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Quantifying Temperate Forest Diversity by Integrating GEDI LiDAR and Multi-Temporal Sentinel-2 Imagery

Remotely sensed estimates of forest diversity have become increasingly important in assessing anthropogenic and natural disturbances and their effects on biodiversity under limited resources. Whereas field inventories and optical images are generally used to estimate forest diversity, studies that c...

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Uloženo v:
Hlavní autoři: Chunying Ren, Hailing Jiang, Yanbiao Xi, Pan Liu, Huiying Li
Médium: Artigo
Jazyk:Inglês
Vydáno: MDPI AG 2023-01-01
Edice:Remote Sensing
Témata:
forest diversity
GEDI LiDAR
Sentinel-2
machine Learning
On-line přístup:https://www.mdpi.com/2072-4292/15/2/375
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