LandCoverMonitoring

The USGSComposite folder contains scripts to:

1. Create the composite (usgs_composite.py)
2. Create a training data set (trainingData.py)
3. Create the primivites (calculatePrimitives.py)

Usage:

$ python model.py {options}

{options} include:

--year (-y) : required : year to create the Landsat composite image for : in format YYYY

--season (-s) : season to create the Landsat composite image for : seasons are set for the Mekong region and will need to be
: changed for other geographic areas : options are 'drycool', 'dryhot', or 'rainy'

Example Usage

1. export surface reflectance composite for dryhot season of 2000 to assets:

$ python model.py -y 2000 -s drycool