Enhancing carbon stock estimation in forests: Integrating multi-data predictors with random forest method

• DOI: 10.1016/j.ecoinf.2025.102997
• Publication Date: 2025-01-08T08:16:40Z
• Authors: Gabriel E. Suárez...; Joaquín Martínez-...; Pedro Arias
• Keywords: Forest management; Ecology; 3321.99 Otras; Estimating carbon storage; Multidata combination; 3308 Ingeniería y Tecnología del Medio Ambiente; Information technology; Remote sensing; T58.5-58.64; QH540-549.5; Random forest

This folder includes the codes used to obtain the carbon estimation models as described in the paper entitled “Enhancing Carbon Stock Estimation in Forests: Integrating Multi-Data Predictors with the Random Forest Method.” Additionally, the main results and some of the intermediate data obtained are presented. For further information or to request additional input data or intermediate results that could not be attached to this folder due to size issues, please contact the corresponding author Gabriel E. Suárez-Fernández ([e-mail]) DOI for published article: https://doi.org/10.1016/j.ecoinf.2025.102997