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

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.

Data and Resources

Additional Info

Field Value
Maintainer Earthdata Forum
Last Updated September 15, 2026, 01:46 (UTC)
Created June 2, 2026, 20:49 (UTC)
accessLevel public
bureauCode {026:00}
catalog_conformsTo https://project-open-data.cio.gov/v1.1/schema
harvest_object_id 9eeee0cb-fd1e-4afe-9431-83425229d8e0
harvest_source_id b99e41c6-fe79-4c19-bbc3-9b6c8111bfac
harvest_source_title Science Discovery Engine
identifier 10.3334/ORNLDAAC/2445
license https://www.usa.gov/government-works
modified 2026-09-07T22:16:01Z
programCode {026:000}
publisher ORNL_DAAC
resource-type Dataset
source_datajson_identifier true
source_hash 1c642a58d689e0eb1c99abf9062244c3345bc6a982947f8ea1017f2eb32f3b7b
source_schema_version 1.1
spatial ["CARTESIAN", [{"WestBoundingCoordinate": -119.226, "NorthBoundingCoordinate": 33.7967, "EastBoundingCoordinate": -84.6252, "SouthBoundingCoordinate": 13.4057}]]
temporal 2000-01-01/2019-12-31
theme {"Earth Science"}