Skip to main content
U.S. flag

An official website of the United States government

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

Skip to content
  • Feedback

    • Satellite-Derived Forest Extent Likelihood Map for Mexico

    Metadata Updated: March 28, 2024

    This dataset provides a comparison of forest extent agreement from seven remote sensing-based products across Mexico. These satellite-derived products include European Space Agency 2020 Land Cover Map for Mexico (ESA), Globeland30 2020 (Globeland30), Commission for Environmental Cooperation 2015 Land Cover Map (CEC), Impact Observatory 2020 Land Cover Map (IO), NAIP Trained Mean Percent Cover Map (NEX-TC), Global Land Analysis and Discovery Global 2010 Tree Cover (Hansen-TC), and Global Forest Cover Change Tree Cover 30 m Global (GFCC-TC). All products included data at 10-30 m resolution and represented the state of forest or tree cover from 2010 to 2020. These seven products were chosen based on: a) feedback from end-users in Mexico; b) availability and FAIR (findable, accessible, interoperable, and replicable) data principles; and c) products representing different methodological approaches from global to regional scales. The combined agreement map documents forest cover for each satellite-derived product at 30-m resolution across Mexico. The data are in cloud optimized GeoTIFF format and cover the period 2010-2020. A shapefile is included that outlines Mexico mainland areas.

    Access & Use Information

    Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

    Downloads & Resources

    Dates

    Metadata Created Date March 28, 2024
    Metadata Updated Date March 28, 2024

    Metadata Source

    Harvested from NASA Data.json

    Other Data Resources

    Graphic Preview

    Percent agreement among seven satellite-based forest cover products (A). The percentage represents how many products identified each pixel as being forested. An enlarged representation of Edomex (Estado de Mexico) for the forest extent agreement map (B). Source: Braden et al. (2024).

    Additional Metadata

    Resource Type Dataset
    Metadata Created Date March 28, 2024
    Metadata Updated Date March 28, 2024
    Publisher ORNL_DAAC
    Maintainer
    Identifier C2905454214-ORNL_CLOUD
    Data First Published 2024-03-21
    Language en-US
    Data Last Modified 2024-03-22
    Category CMS, geospatial
    Public Access Level public
    Bureau Code 026:00
    Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
    Metadata Catalog ID https://data.nasa.gov/data.json
    Schema Version https://project-open-data.cio.gov/v1.1/schema
    Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
    Citation Braden, D., P. Mondal, T. Park, J.A.A. De la rosa, M.I.A. Leal, R.A.C. Lara, R.M. Saucedo, V.M. Salas-Aguilar, M.A. Soriano-Luna, and R. Vargas. 2023. Satellite-Derived Forest Extent Likelihood Map for Mexico. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/2320
    Graphic Preview Description Percent agreement among seven satellite-based forest cover products (A). The percentage represents how many products identified each pixel as being forested. An enlarged representation of Edomex (Estado de Mexico) for the forest extent agreement map (B). Source: Braden et al. (2024).
    Graphic Preview File https://daac.ornl.gov/CMS/guides/SatelliteDerived_Forest_Mexico_Fig1.jpg
    Harvest Object Id 1a6d8609-cbd0-4af2-9c99-50152d3d6d30
    Harvest Source Id 58f92550-7a01-4f00-b1b2-8dc953bd598f
    Harvest Source Title NASA Data.json
    Homepage URL https://doi.org/10.3334/ORNLDAAC/2320
    Metadata Type geospatial
    Old Spatial -120.31 12.48 -84.29 34.51
    Program Code 026:001
    Source Datajson Identifier True
    Source Hash 1a77eeccfde3bcdaa79dec3f75aba8fb0f7b92d23e2c39de2fe8fc9e19e39e14
    Source Schema Version 1.1
    Spatial
    Temporal 2010-01-01T00:00:00Z/2020-12-31T23:59:59Z

    Didn't find what you're looking for? Suggest a dataset here.