File:NASA ARSET- Crop Classification with Time Series of Polarimetric SAR Data, Part 1-3 (QP4VPaBovBk).webm

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Crop Mapping using Synthetic Aperture Radar (SAR) and Optical Remote Sensing. Part 1: Crop Classification with Time Series of Polarimetric SAR Data. Trainers: Sean McCartney & Erika Podest. Guest Trainer: Armando Marino (University of Stirling).

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English: Crop Mapping using Synthetic Aperture Radar (SAR) and Optical Remote Sensing

Part 1: Crop Classification with Time Series of Polarimetric SAR Data

Trainers: Sean McCartney & Erika Podest

Guest Trainer: Armando Marino (University of Stirling)

-Identifying crops with polarimetric SAR (PolSAR) time series from Sentinel-1 using Random Forest and other Machine Learning algorithms in Python Jupyter Notebook -Q&A Session

You can access all training materials from this webinar series on the training webpage: https://go.nasa.gov/40KrygA
Date 5 April 2023, 16:37:25 (upload date)
Source YouTube – View/save archived versions on archive.org and archive.today
Author NASA

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Date/TimeThumbnailDimensionsUserComment
current17:25, 14 April 20242 h 30 min 46 s, 1,920 × 1,080 (533.68 MB)OptimusPrimeBot (talk | contribs)Imported media from https://www.youtube.com/watch?v=QP4VPaBovBk

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Streaming 144p (MJPEG) 1 Mbps Completed 23:35, 14 April 2024 1 h 11 min 43 s
Stereo (Opus) 81 kbps Completed 22:41, 14 April 2024 8 min 13 s
Stereo (MP3) 128 kbps Completed 22:45, 14 April 2024 12 min 4 s

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