Annual Burned Area Maps for Mawas Conservation Program, 1997-2015

NASA's dataset provides annual burned area maps for the Mawas conservation program in Central Kalimantan, Indonesia, covering a 19-year period from 1997 to 2015. It uses 30-meter resolution Landsat imagery and MODIS active fire data, processed with Random Forest classification to identify burned pixels. The dataset includes surface reflectance, brightness temperature, and several vegetation indices like NDVI and NBR.

Use Cases

• Analyzing long-term fire frequency and burned area extent in a tropical peatland conservation area.
• Validating or comparing fire detection algorithms using Landsat-derived indices like NDVI, NBR, and NDMI.
• Studying post-fire vegetation recovery trends in forest and wetland ecosystems.
• Assessing the relationship between thermal band data (brightness temperature) and fire occurrence.

Strengths

• Provides a 19-year continuous time series (1997-2015) for longitudinal analysis.
• Uses high-resolution (30m) Landsat imagery combined with MODIS active fire data for validation.
• Applies a machine learning method (Random Forest classification) for burned pixel identification.
• Includes multiple calculated indices (NDVI, NDMI, NBR, NBR2, SAVI, MSAVI) for ecological analysis.

Limitations

• Specific column names and dataset size (row count, file size) are not documented on any platform.
• There is a conflict in the 'last updated' metadata, with Data.gov showing 2026 and NASA Earthdata showing 2015.
• The license is listed as 'other-license-specified' on Data.gov but is unspecified on NASA Earthdata.

Provenance

Source

National Aeronautics and Space Administration (NASA)

Collection Method

Random Forest classification applied to pre- and post-fire composites of Landsat indices and thermal bands, with fire timing defined by the MODIS MCD14 active fire product.

Time Range

1997 through 2015

Freshness

2026-03-13 16:27:15.674350

Geography

Mawas conservation program area, Central Kalimantan, Indonesia