Land Use and Cover Maps from Landsat, Mawas, Central Kalimantan, Indonesia, 1994-2019

Description

This dataset contains annual land use/cover (LUC) maps at 30 m resolution across Mawas, Central Kalimantan, Indonesia. There are six files, each representing a five-year interval over the period 1994-2019. An additional file for 2015 was created for accuracy assessment. A high-quality and low-cloud coverage image from Landsat 5 or Landsat 8 over each 5-year period was selected or composited for the January-August timeframe. Investigators used their knowledge to manually identify training polygons in these images for five LUC classes: peat swamp forest, tall shrubs/ secondary forest, low shrubs/ferns/grass, urban/bare land/open flooded areas, and river. Pixel values of Landsat Tier 1 surface reflectance products and selected indices were extracted for each LUC and used to predict LUC classes across the Mawas study area using the Classification and Regression Trees (CART) method. These data can be used to evaluate the relationship between fire occurrence and land cover type in the study site.

Resources

Name Format Description Link
21 ORNL DAAC Data Set Documentation https://daac.ornl.gov/CMS/guides/CMS_Landcover_Indonesia.html
21 Data set Landing Page DOI URL https://doi.org/10.3334/ORNLDAAC/1838
22 Land cover maps at 30 m resolution across Mawas, Central Kalimantan, Indonesia in 1994 (left) and 2004 (right). https://daac.ornl.gov/CMS/guides/CMS_Landcover_Indonesia_Fig1.jpg
21 Search results for publications that cite this dataset by its DOI. https://scholar.google.com/scholar?q=10.3334%2FORNLDAAC%2F1838
21 This link allows direct data access via Earthdata login https://daac.ornl.gov/cms/CMS_Landcover_Indonesia/
33 Land Use and Cover Maps from Landsat, Mawas, Central Kalimantan, Indonesia, 1994-2019: CMS_Landcover_Indonesia.pdf https://data.ornldaac.earthdata.nasa.gov/public/cms/CMS_Landcover_Indonesia/comp/CMS_Landcover_Indonesia.pdf

Tags

  • land-use-land-cover
  • land-surface
  • biosphere
  • human-dimensions
  • vegetation
  • earth-science
  • environmental-governance-management

Topics

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