Trouvé, R.; Jiang, R.; Fedrigo, M.; White, M.D.; Kasel, S.; Baker, P.J.; Nitschke, C.R.
Combining Environmental, Multispectral, and LiDAR Data Improves Forest Type Classification: A Case Study on Mapping Cool Temperate Rainforests and Mixed Forests. Remote Sens. 2023, 15, 60.
https://doi.org/10.3390/rs15010060
AMA Style
Trouvé R, Jiang R, Fedrigo M, White MD, Kasel S, Baker PJ, Nitschke CR.
Combining Environmental, Multispectral, and LiDAR Data Improves Forest Type Classification: A Case Study on Mapping Cool Temperate Rainforests and Mixed Forests. Remote Sensing. 2023; 15(1):60.
https://doi.org/10.3390/rs15010060
Chicago/Turabian Style
Trouvé, Raphael, Ruizhu Jiang, Melissa Fedrigo, Matt D. White, Sabine Kasel, Patrick J. Baker, and Craig R. Nitschke.
2023. "Combining Environmental, Multispectral, and LiDAR Data Improves Forest Type Classification: A Case Study on Mapping Cool Temperate Rainforests and Mixed Forests" Remote Sensing 15, no. 1: 60.
https://doi.org/10.3390/rs15010060
APA Style
Trouvé, R., Jiang, R., Fedrigo, M., White, M. D., Kasel, S., Baker, P. J., & Nitschke, C. R.
(2023). Combining Environmental, Multispectral, and LiDAR Data Improves Forest Type Classification: A Case Study on Mapping Cool Temperate Rainforests and Mixed Forests. Remote Sensing, 15(1), 60.
https://doi.org/10.3390/rs15010060