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ModL2T: hybrid MODIS and Landsat algorithm in Google Earth Engine for estimating post-monsoon burned area from agricultural fires in northwestern India
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README.md

README.md

ModL2T-Burned-Area

ModL2T: hybrid MODIS and Landsat algorithm for estimating post-monsoon burned area from agricultural fires in northwestern India

This algorithm is based in Google Earth Engine (GEE) and R.

GEE Repository

For GEE Code Editor:

https://code.earthengine.google.com/?accept_repo=users/tl2581/ModL2T_BA

Clone GEE Git Repository in Terminal:

git clone https://earthengine.googlesource.com/users/tl2581/ModL2T_BA

Datasets

We use the following datasets:

MODIS, Collection 6:

  • MCD64A1 Burned Area, 500m
  • MOD09A1 8-Day Composite Surface Reflectance, 500m
  • MxD14A1 Active Fires, 1km

Landsat 5 (TM), 7 (ETM+), 8 (OLI/TIRS):

  • Surface Reflectance, 30m

GlobeLand30:

  • 10-class global land cover for 2010, 30m

Updates

  • March 10, 2018: MCD64A1 C6 added as a collection in GEE

Known Issues

  • MODIS and Landsat NBR composites were projected to geographic projection (lat/lon, EPSG:4326) and exported as assets to speed up calculations in GEE and prevent computational timeouts

Publication

Liu T., Marlier M.E., Karambelas A.N., Jain M., Singh S., Singh M.K., Gautam, R., and DeFries R.S. (2019). Missing emissions from post-monsoon agricultural fires in northwestern India: regional limitations of MODIS burned area and active fire products. Environ. Res. Commun., 1, 011007. https://doi.org/10.1088/2515-7620/ab056c

EarthArXiv Preprint DOI: https://dx.doi.org/10.17605/OSF.IO/9JVAK

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