CMS: Landsat-derived Annual Land Cover Maps for the Colombian Amazon, 2001-2016

Description

This dataset provides annual maps of land cover classes for the Colombian Amazon from 2001 through 2016 that were created by classifying time segments detected by the Continuous Change Detection and Classification (CCDC) algorithm. The CCDC algorithm detected changes in Landsat pixel surface reflectance across the time series, and the time segments were classified into land cover types using a Random Forest classifier and manually collected training data. Annual maps of land cover were created for each Landsat scene and then post-processed and mosaicked. Land cover types include unclassified, forest, natural grasslands, urban, pastures, secondary forest, water, or highly reflective surfaces. The training data are not included with this dataset.

Resources

Name Format Description Link
21 ORNL DAAC Data Set Documentation https://daac.ornl.gov/CMS/guides/Landcover_Colombian_Amazon.html
21 Data set Landing Page DOI URL https://doi.org/10.3334/ORNLDAAC/1783
21 This link allows direct data access via Earthdata login https://daac.ornl.gov/cms/Landcover_Colombian_Amazon/
34 Land cover classification at 30 m resolution for the Colombian Amazon for the year 2016. https://daac.ornl.gov/CMS/guides/Landcover_Colombian_Amazon_Fig1.png
21 Search results for publications that cite this dataset by its DOI. https://scholar.google.com/scholar?q=10.3334%2FORNLDAAC%2F1783
33 CMS: Landsat-derived Annual Land Cover Maps for the Colombian Amazon, 2001-2016: Landcover_Colombian_Amazon.pdf https://data.ornldaac.earthdata.nasa.gov/public/cms/Landcover_Colombian_Amazon/comp/Landcover_Colombian_Amazon.pdf

Tags

  • habitat-conversion-fragmentation
  • land-use-land-cover
  • land-surface
  • human-dimensions
  • surface-radiative-properties
  • earth-science

Topics

Categories