Haagsma, M.; Page, G.F.M.; Johnson, J.S.; Still, C.; Waring, K.M.; Sniezko, R.A.; Selker, J.S.
Using Hyperspectral Imagery to Detect an Invasive Fungal Pathogen and Symptom Severity in Pinus strobiformis Seedlings of Different Genotypes. Remote Sens. 2020, 12, 4041.
https://doi.org/10.3390/rs12244041
AMA Style
Haagsma M, Page GFM, Johnson JS, Still C, Waring KM, Sniezko RA, Selker JS.
Using Hyperspectral Imagery to Detect an Invasive Fungal Pathogen and Symptom Severity in Pinus strobiformis Seedlings of Different Genotypes. Remote Sensing. 2020; 12(24):4041.
https://doi.org/10.3390/rs12244041
Chicago/Turabian Style
Haagsma, Marja, Gerald F. M. Page, Jeremy S. Johnson, Christopher Still, Kristen M. Waring, Richard A. Sniezko, and John S. Selker.
2020. "Using Hyperspectral Imagery to Detect an Invasive Fungal Pathogen and Symptom Severity in Pinus strobiformis Seedlings of Different Genotypes" Remote Sensing 12, no. 24: 4041.
https://doi.org/10.3390/rs12244041
APA Style
Haagsma, M., Page, G. F. M., Johnson, J. S., Still, C., Waring, K. M., Sniezko, R. A., & Selker, J. S.
(2020). Using Hyperspectral Imagery to Detect an Invasive Fungal Pathogen and Symptom Severity in Pinus strobiformis Seedlings of Different Genotypes. Remote Sensing, 12(24), 4041.
https://doi.org/10.3390/rs12244041