ARSET - Crop Mapping using Synthetic Aperture Radar (SAR) and Optical Remote Sensing

Start Date:
April 4, 2023
End Date:
April 11, 2023
This advanced training builds on previous ARSET agricultural trainings. We will present advanced radar remote sensing techniques using polarimetry and a canopy structure dynamic model to monitor crop growth. The training will cover how to apply machine learning methods to classify crop type using a time series of Sentinel-1 & Sentinel-2 imagery. This series will include practical exercises using the Sentinel Application Platform (SNAP) and Python code written in Python Jupyter Notebooks.
Targeted Audience:
This webinar series is intended for local, regional, federal, and non-governmental organizations from agriculture and food security related agencies to use radar and optical remote sensing applications in the domain of agriculture for crop mapping and monitoring.
Expected Outcomes:
By the end of this training attendees will be able to: - Monitor crop growth with polarimetric time series SAR data from Sentinel-1 - Examine crop growth using a canopy structure dynamic model and time series of Sentinel-1 imagery - Classify crop type using a time series of radar and optical imagery (Sentinel-1 & Sentinel-2)
NASA Applied Sciences
NASA Applied Sciences
Format/Training Type:
Online Course, Workshop
English, Spanish
Application Deadline:
April 4, 2023
ARSET Trainings Fundamentals of Remote Sensing, Introduction to Synthetic Aperture Radar, Agricultural Crop Classification with Synthetic Aperture Radar and Optical Remote Sensing, Mapping Crops and their Biophysical Characteristics with Polarimetric SAR and Optical Remote Sensing.
Contact Name:
Sarah Cutshall
Contact Email:
Thematic Area:
Agriculture & Food Security
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