NASA ARSET: Data Preparation of Imagery for Large-Scale ML Modeling, Part 1/3

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Large Scale Applications of Machine Learning using Remote Sensing for Building Agriculture Solutions

Part 1: Data Preparation of Imagery for Large-Scale ML Modeling

Trainers: Sean McCartney
Guest Instructors: John Just (Deere & Co.), Erik Sorensen (Deere & Co.)

-Submit lists of boundaries to the NASS API and retrieve CDL rasters back
-Subsample and visualize retrieved data from CDL with interactive spatial images and other statistical plots
-Obtain Sentinel-2 raster files for a given area and timeframe corresponding to the retrieved CDL data and manipulate the sentinel-2 rasters into tables in preparation for analysis and model training.
-Verify correct processing of data via various interactive plots (e.g. time series of pixels of various land covers).

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