NASA ARSET: SAR Polarimetry with Sentinel-1, RCM, & SAOCOM Imagery for Agriculture, Part 2/4
Channel: NASA Video
Date: 20/04/2022

Mapping Crops and their Biophysical Characteristics with Polarimetric SAR and Optical Remote Sensing

Part 2: Polarimetry Practical Part 2: SAR Polarimetry with Sentinel-1, RCM, & SAOCOM Imagery for Agriculture

Trainers: Laura Dingle Robertson (AAFC) & Armando Marino (Univ. of Stirling)

-Generate pseudo-polarimetric parameters derived from SLC dual polarimetric Sentinel-1 using SNAP and PolSARpro (cont.)
-Analyze a time series of fully polarimetric RCM and SAOCOM images using Python Jupyter Notebooks to identify crop characteristics with different polarimetric observables
-Q&A

You can access all training materials from this webinar series on the training webpage: https://appliedsciences.nasa.gov/join-mission/training/english/arset-mapping-crops-and-their-biophysical-characteristics

This training was created by NASA's Applied Remote Sensing Training Program (ARSET). ARSET is a part of NASA's Applied Science's Capacity Building Program. Learn more about ARSET: https://appliedsciences.nasa.gov/what-we-do/capacity-building/arset