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...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Chunying Ren, Hailing Jiang, Yanbiao Xi, Pan Liu, Huiying Li
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	MDPI AG 2023-01-01
Sarja:	Remote Sensing
Aiheet:	forest diversity GEDI LiDAR Sentinel-2 machine Learning
Linkit:	https://www.mdpi.com/2072-4292/15/2/375
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