filmov
tv
NASA ARSET: Data Preparation of Imagery for Large-Scale ML Modeling, Part 1/3
Показать описание
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).
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).