APA (7th ed.) Citation

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 (Basel, Switzerland), 14(9), 2025. https://doi.org/10.3390/rs14092025

Chicago Style (17th ed.) Citation

Gedeon, Csongor I., Mátyás Árvai, Gábor Szatmári, Eric C. Brevik, Tünde Takáts, Zsófia A. Kovács, and János Mészáros. "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 (Basel, Switzerland) 14, no. 9 (2022): 2025. https://doi.org/10.3390/rs14092025.

MLA (9th ed.) Citation

Gedeon, Csongor I., et al. "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 (Basel, Switzerland), vol. 14, no. 9, 2022, p. 2025, https://doi.org/10.3390/rs14092025.