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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.

Product Summary

Platforms
MODELS ,
LANDSAT-8 ,
LANDSAT-7 ,
LANDSAT-5 ,
LANDSAT-4 ,
ISS
Instruments
Computer ,
OLI ,
TIRS ,
ETM+ ,
TM ,
SRTM
Projects
CMS
Spatial Extent

N: 33.7967 S: 13.4057 E: -84.6252 W: -119.226

Location
MEXICO
Coordinate System
CARTESIAN
Granule Spatial Representation
CARTESIAN
Temporal Extent
2000-01-01 to 2019-12-31
Data Partner
THE OAK RIDGE NATIONAL LABORATORY (ORNL) DISTRIBUTED ACTIVE ARCHIVE CENTER (DAAC) (ORNL_DAAC)
Concept ID
C3707308646-ORNL_CLOUD
Data State
COMPLETE
Number of Files/Granules
20
Processing Level
3
Published
Updated
Science Keywords
Vegetation Cover ,
Forests ,
Terrain Elevation

Citation

Citation is critically important for dataset documentation and discovery. This dataset is openly shared, without restriction, in accordance with the EOSDIS Data Use and Citation Guidance.

Copy 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 Date Accessed: 2026-08-24

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