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

Start Date:
April 12, 2022
End Date:
May 3, 2022
Description:
This 4-part training will present advanced radar remote sensing techniques using polarimetry to extract crop structural information, optical imagery from Sentinel-2 to map and monitor crop types and assess their biophysical characteristics, and Sen4Stat – an open source system demonstrating the potential of optical and SAR satellite Earth observations for monitoring and reporting of the SDG targets related to agriculture. It will be delivered in English and Spanish.
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: -Explain the theory behind SAR Polarimetry, especially as related to crop characteristics -Generate polarimetric parameters using open-source imagery/software and perform a time series analysis of crop growth -Identify how Sen4Stat can support National Statistical Offices in the uptake of satellite Earth observations for agricultural statistics -Perform a time series analysis of crop types using Sentinel-2 derived LAI index
Host:
NASA Applied Sciences
Organizer:
Agriculture and Agri-Food Canada (AAFC), European Space Agency (ESA), United Nations Office for Outer Space Affairs (UNOOSA), University of Stirling, Université Catholique de Louvain (UCLouvain), and the CEOS Working Group on Capacity Building & Data Demo
Language:
English, Spanish
Attendance:
Open
Application Deadline:
April 12, 2022
Qualifications:
Participants should have an understanding of SAR and remote sensing.
Contact Name:
Sarah Cutshall
Contact Email:
sarah.cutshall@nasa.gov
Link:
https://go.nasa.gov/3hXIUkO
Thematic Area:
Agriculture & Food Security, Water Resources
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