Integrating National Ecological Observatory Network (NEON) Airborne Remote Sensing and In-Situ Data for Optimal Tree Species Classification.

MLA

Scholl, Victoria M., et al. “Integrating National Ecological Observatory Network (NEON) Airborne Remote Sensing and In-Situ Data for Optimal Tree Species Classification.” Remote Sensing, vol. 12, no. 9, May 2020, p. 1414. EBSCOhost, https://doi.org/10.3390/rs12091414.

APA

Scholl, V. M., Cattau, M. E., Joseph, M. B., & Balch, J. K. (2020). Integrating National Ecological Observatory Network (NEON) Airborne Remote Sensing and In-Situ Data for Optimal Tree Species Classification. Remote Sensing, 12(9), 1414. https://doi.org/10.3390/rs12091414

Chicago

Scholl, Victoria M., Megan E. Cattau, Maxwell B. Joseph, and Jennifer K. Balch. 2020. “Integrating National Ecological Observatory Network (NEON) Airborne Remote Sensing and In-Situ Data for Optimal Tree Species Classification.” Remote Sensing 12 (9): 1414. doi:10.3390/rs12091414.