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"Combining Environmental, Multispectral, and LiDAR Data Improves Forest ..."

Raphael Trouvé et al. (2023)

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DOI: 10.3390/RS15010060

access: open

type: Journal Article

metadata version: 2023-02-10

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  - journals/remotesensing/TrouveJFWKBN23
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  - https://dblp.org/rec/journals/remotesensing/TrouveJFWKBN23
Raphael Trouvé, Ruizhu Jiang, Melissa Fedrigo, Matt D. White, Sabine Kasel, Patrick J. Baker, Craig R. Nitschke:
Combining Environmental, Multispectral, and LiDAR Data Improves Forest Type Classification: A Case Study on Mapping Cool Temperate Rainforests and Mixed Forests. Remote. Sens. 15(1): 60 (2023)

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