Webinar quick summary: Want to learn how to use R and Python to work with remote sensing data? Join us as we demonstrate how to perform basic data preparation, processing, computation, and visualization techniques using ASTER and VIIRS Surface Reflectance data.

During this webinar we will demonstrate how to bring remote sensing datasets into R and Python, read metadata to georeference data, and export the data in GeoTIFF format. Demonstrations for converting digital numbers to Top of Atmosphere reflectance, calculating NDVI, generating threeband RGB composites, and using quality services to filter MODIS data will be performed. The webinar will also highlight useful operations such as extracting a subset of data, computing statistics, plotting, and visualizing the data in R and Python.

Audience: This webinar is geared towards users that are new to using Python and R with remote sensing data.

For information about NASA's Land Processes Distributed Active Archive Center, https://lpdaac.usgs.gov

NASA EOSDIS data, information, services and tools, https://earthdata.nasa.gov

To discover and access NASA Earth science data, https://search.earthdata.nasa.gov