ORNL DAAC recently released a new dataset by Tran, K.H. et al (2025):
CMS: Tree Cover Estimates at 30 m Resolution for Mexico from 2000 to 2019 (Version 2)
This dataset provides 20-year tree cover (TC) estimates at 30-m spatial resolution for Mexico from 2000 to 2019 using Landsat time series, airborne LiDAR, and machine learning. The TC data (hereafter, CMS-TC) offers accurate and consistent national-scale percent tree cover estimates with an overall coefficient of determination (R squared) of 0.81 and a root mean square error (RMSE) of 11.90%.
Citation: Tran, K. H., Sarupria, M., Vargas, R., Brosnan, I. G., & Park, T. (2025). CMS: Tree Cover Estimates at 30 m Resolution for Mexico from 2000 to 2019 (Version 2). ORNL Distributed Active Archive Center. https://doi.org/10.3334/ORNLDAAC/2445
ORNL DAAC Data Release - CMS: Tree Cover Estimates at 30 m Resolution for Mexico from 2000 to 2019 (Version 2)
-
ORNL - blancohl
- Subject Matter Expert

- Posts: 52
- Joined: Wed Sep 29, 2021 10:22 am America/New_York