Cite
Use of Airborne Radar Images and Machine Learning Algorithms to Map Soil Clay, Silt, and Sand Contents in Remote Areas under the Amazon Rainforest.
MLA
Ferreira, Ana Carolina de S., et al. “Use of Airborne Radar Images and Machine Learning Algorithms to Map Soil Clay, Silt, and Sand Contents in Remote Areas under the Amazon Rainforest.” Remote Sensing, vol. 14, no. 22, Nov. 2022, p. 5711. EBSCOhost, https://doi.org/10.3390/rs14225711.
APA
Ferreira, A. C. de S., Ceddia, M. B., Costa, E. M., Pinheiro, É. F. M., Nascimento, M. M. do, & Vasques, G. M. (2022). Use of Airborne Radar Images and Machine Learning Algorithms to Map Soil Clay, Silt, and Sand Contents in Remote Areas under the Amazon Rainforest. Remote Sensing, 14(22), 5711. https://doi.org/10.3390/rs14225711
Chicago
Ferreira, Ana Carolina de S., Marcos B. Ceddia, Elias M. Costa, Érika F. M. Pinheiro, Mariana Melo do Nascimento, and Gustavo M. Vasques. 2022. “Use of Airborne Radar Images and Machine Learning Algorithms to Map Soil Clay, Silt, and Sand Contents in Remote Areas under the Amazon Rainforest.” Remote Sensing 14 (22): 5711. doi:10.3390/rs14225711.