Analysis Ready Data (ARD): Data that has been corrected for any biases or errors and is widely accepted as ready for use in analyses.

Least Recent - An algorithm for creating a custom mosaic that uses the oldest good pixel given a list of pixels over a time range.

Max NDVI - An algorithm for getting the pixel with the maximum green value over a given time. Useful for determining areas of lush vegetation during raining seasons.

Median Pixel - Determines the median pixel given a list of good pixels and uses that point, along with others, to create a visible image of an area over the given bounds.

Min NDVI - An algorithm for getting the pixel with the minimum green value over a given time. Useful for determining areas of no vegetation during dry seasons.

Most Recent - An algorithm for creating a custom mosaic that uses the latest good pixel given a list of pixels over a time range.

Open Data Cube: The application that manages the storage, access, and metadata of remotely sensed data. The Data Cube provides a Python API for data and metadata access.

Pixel: Smallest discrete unit of data. Pixels have latitude and longitude values and are spatially aligned over time. The actual size of a pixel can vary depending on the source dataset.

Scene: Single acquisition of any given dataset. Scenes are tiled and converted into NetCDF storage units under the current Data Cube framework.

Slip/drip - An algorithm for detecting landslides. Checks for NDWI and RED change on areas with high enough SLOPE.

User Interface (UI): A front end application developed using Django/Celery/Redis. This application is used as a demonstration of what is possible using the Data Cube framework.

TSM - Determines the total suspended matter in a body of water. This algorithm is helpful in determining areas of high pollution or vegetation in a body of water.

WOfS - An algorithm for determining whether a pixel is water or not water. Useful in showing rising or falling water levels around the edges of lakes or other bodies of water.