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CMS: Tree Cover Estimates at 30 m Resolution for Mexico from 2000 to 2019

Overview

DOIhttps://doi.org/10.3334/ORNLDAAC/2445
Version2
Project
Published2025-09-08
Usage1 download
User Guide

Description

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%. The CMS-TC product is essential for tracking tree cover and aboveground biomass changes, monitoring land use dynamics, supporting biodiversity conservation, and informing climate and land use policy decisions. The data are provided in GeoTIFF format.

Science Keywords

  • BIOSPHERE
  • VEGETATION
  • VEGETATION COVER
  • BIOSPHERE
  • ECOSYSTEMS
  • TERRESTRIAL ECOSYSTEMS
  • FORESTS
  • LAND SURFACE
  • TOPOGRAPHY
  • TERRAIN ELEVATION

Data Use and Citation

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DOI citation formatter
Tran, K.H., M. Sarupria, R. Vargas, I.G. Brosnan, and T. Park. 2025. CMS: Tree Cover Estimates at 30 m Resolution for Mexico from 2000 to 2019. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/2445

This dataset is openly shared, without restriction, in accordance with the NASA Earthdata Data Use Guidance.

Data Files

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Companion Files

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Dataset has 1 companion files.

  • Tree_Canopy_Cover_Mexico_V2.pdf