NASA ARSET: SAR Polarimetry with Sentinel-1, RCM, & SAOCOM Imagery for Agriculture, Part 2/4
Channel: NASA Video
Category: Science & Technology
Description: 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: 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: appliedsciences.nasa.gov/what-we-do/capacity-building/arset
