Furze, S.; O’Sullivan, A.M.; Allard, S.; Pronk, T.; Curry, R.A.
A High-Resolution, Random Forest Approach to Mapping Depth-to-Bedrock across Shallow Overburden and Post-Glacial Terrain. Remote Sens. 2021, 13, 4210.
https://doi.org/10.3390/rs13214210
AMA Style
Furze S, O’Sullivan AM, Allard S, Pronk T, Curry RA.
A High-Resolution, Random Forest Approach to Mapping Depth-to-Bedrock across Shallow Overburden and Post-Glacial Terrain. Remote Sensing. 2021; 13(21):4210.
https://doi.org/10.3390/rs13214210
Chicago/Turabian Style
Furze, Shane, Antóin M. O’Sullivan, Serge Allard, Toon Pronk, and R. Allen Curry.
2021. "A High-Resolution, Random Forest Approach to Mapping Depth-to-Bedrock across Shallow Overburden and Post-Glacial Terrain" Remote Sensing 13, no. 21: 4210.
https://doi.org/10.3390/rs13214210
APA Style
Furze, S., O’Sullivan, A. M., Allard, S., Pronk, T., & Curry, R. A.
(2021). A High-Resolution, Random Forest Approach to Mapping Depth-to-Bedrock across Shallow Overburden and Post-Glacial Terrain. Remote Sensing, 13(21), 4210.
https://doi.org/10.3390/rs13214210