Can I read Enhancing Carbon Stock Estimation in Forests - Integrating Multi-Data Predictors With Random Forest Method on EtoBox?

Enhancing Carbon Stock Estimation in Forests - Integrating Multi-Data Predictors With Random Forest Method by rara safira is a document available to read on EtoBox.

What is Enhancing Carbon Stock Estimation in Forests - Integrating Multi-Data Predictors With Random Forest Method about?

This study presents a novel method for estimating and mapping carbon stocks in forests by integrating multisensory remote sensing data with abiotic variables. The use of Random Forest regression models led to a 10% increase in accuracy when including abiotic factors, with the optimal satellite data configuration yielding significant error reductions. The findings emphasize the importance of combining vegetation types and environmental variables to enhance carbon estimation models and understanding of forest

Author

rara safira

Language

EN