R You Ready to Python? An Introduction to Working with Land Remote Sensing Data in R and Python


Published: May 1, 2017

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 three-band 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.

Relevant Products

Product Long Name
AST_L1T.003 ASTER Level 1 Precision Terrain Corrected Registered At-Sensor Radiance
MYD13A2.006 MODIS/Aqua Vegetation Indices 16-Day L3 Global 1 km SIN Grid
VNP09A1.001 VIIRS/NPP Surface Reflectance 8-Day L3 Global 1 km SIN Grid


Name Filters Description
Data Prep Scripts Direct Download, Subset, Web Service

This collection of R and Python scripts can be used to download data and …