Gedeon, C.I.; Árvai, M.; Szatmári, G.; Brevik, E.C.; Takáts, T.; Kovács, Z.A.; Mészáros, J.
Identification and Counting of European Souslik Burrows from UAV Images by Pixel-Based Image Analysis and Random Forest Classification: A Simple, Semi-Automated, yet Accurate Method for Estimating Population Size. Remote Sens. 2022, 14, 2025.
https://doi.org/10.3390/rs14092025
AMA Style
Gedeon CI, Árvai M, Szatmári G, Brevik EC, Takáts T, Kovács ZA, Mészáros J.
Identification and Counting of European Souslik Burrows from UAV Images by Pixel-Based Image Analysis and Random Forest Classification: A Simple, Semi-Automated, yet Accurate Method for Estimating Population Size. Remote Sensing. 2022; 14(9):2025.
https://doi.org/10.3390/rs14092025
Chicago/Turabian Style
Gedeon, Csongor I., Mátyás Árvai, Gábor Szatmári, Eric C. Brevik, Tünde Takáts, Zsófia A. Kovács, and János Mészáros.
2022. "Identification and Counting of European Souslik Burrows from UAV Images by Pixel-Based Image Analysis and Random Forest Classification: A Simple, Semi-Automated, yet Accurate Method for Estimating Population Size" Remote Sensing 14, no. 9: 2025.
https://doi.org/10.3390/rs14092025
APA Style
Gedeon, C. I., Árvai, M., Szatmári, G., Brevik, E. C., Takáts, T., Kovács, Z. A., & Mészáros, J.
(2022). Identification and Counting of European Souslik Burrows from UAV Images by Pixel-Based Image Analysis and Random Forest Classification: A Simple, Semi-Automated, yet Accurate Method for Estimating Population Size. Remote Sensing, 14(9), 2025.
https://doi.org/10.3390/rs14092025
