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

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

 April 4 - April 11

 Online

 

Monitoring crop growth is important for assessing food production, enabling optimal use of the landscape, and contributing to agricultural policy. Remote sensing methods based on optical and/or radar sensors have become an important means of extracting information related to crops.

Optical data is related to the chemical properties of the vegetation, while radar data is related to vegetation structure and moisture. Radar can also image the Earth’s surface regardless of almost any type of weather condition.

This three-part, advanced training builds on previous ARSET agricultural trainings.

Here we present more advanced radar remote sensing techniques using polarimetry and a canopy structure dynamic model to monitor crop growth. The training will also 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, a web-based interactive development environment for scientific computing and machine learning.

This webinar series is a collaboration between NASA ARSET, Agriculture and Agri-Food Canada (AAFC), European Space Agency (ESA), University of Stirling, University of Ljubljana, and the CEOS Working Group on Capacity Building & Data Democracy (WGCapD).

This training is also available in Spanish.

Objectives:

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)

 

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.

Course Format:

April 4-11th, 2023

  • Three, 2.5-hour sessions
  • The morning session will be presented in English: 10:00 AM – 12:30 PM ET (16:00 – 18:30 CEST)
  • The afternoon session will be presented in Spanish: 13:00 – 15:30 PM ET (19:00 – 21:30 CEST)

 

The sessions are:

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

Tuesday, April 4, 2023

Part 2: Crop Classification with Time Series Optical and Radar Data

Thursday, April 6, 2023

Part 3: Monitoring Crop Growth Through SAR-Derived Crop Structural Parameters

Tuesday, April 11, 2023

 

PREREQUISITES

  • 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

 

Software Prerequisites

  • SNAP, PolSARpro, QGIS, Jupyter, R,

 

Organizers

ESA

NASA

Agriculture and Agri-Food Canada (AAFC)

University of Stirling

University of Ljubljana

WGCapD

 

Registration and further information is available at Earth Science Applied Sciences  website.