Romero-Sanchez, M.E.; Gonzalez-Hernandez, A.; Velasco-Bautista, E.; Correa-Diaz, A.; Ortiz-Reyes, A.D.; Perez-Miranda, R.
Can Combining Machine Learning Techniques and Remote Sensing Data Improve the Accuracy of Aboveground Biomass Estimations in Temperate Forests of Central Mexico? Geomatics 2025, 5, 30.
https://doi.org/10.3390/geomatics5030030
AMA Style
Romero-Sanchez ME, Gonzalez-Hernandez A, Velasco-Bautista E, Correa-Diaz A, Ortiz-Reyes AD, Perez-Miranda R.
Can Combining Machine Learning Techniques and Remote Sensing Data Improve the Accuracy of Aboveground Biomass Estimations in Temperate Forests of Central Mexico? Geomatics. 2025; 5(3):30.
https://doi.org/10.3390/geomatics5030030
Chicago/Turabian Style
Romero-Sanchez, Martin Enrique, Antonio Gonzalez-Hernandez, EfraÃn Velasco-Bautista, Arian Correa-Diaz, Alma Delia Ortiz-Reyes, and Ramiro Perez-Miranda.
2025. "Can Combining Machine Learning Techniques and Remote Sensing Data Improve the Accuracy of Aboveground Biomass Estimations in Temperate Forests of Central Mexico?" Geomatics 5, no. 3: 30.
https://doi.org/10.3390/geomatics5030030
APA Style
Romero-Sanchez, M. E., Gonzalez-Hernandez, A., Velasco-Bautista, E., Correa-Diaz, A., Ortiz-Reyes, A. D., & Perez-Miranda, R.
(2025). Can Combining Machine Learning Techniques and Remote Sensing Data Improve the Accuracy of Aboveground Biomass Estimations in Temperate Forests of Central Mexico? Geomatics, 5(3), 30.
https://doi.org/10.3390/geomatics5030030
