Advanced Webinar: SAR for Landcover Applications

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Date Range: August 28, 2019. September 4, 2019.
Times: 10:00-12:00 EDT (UTC-4)
Registration Closes: Tuesday, August 27, 2019

This webinar series will build on the knowledge and skills previously developed in ARSET SAR trainings. Presentations and demonstrations will focus on agriculture and flood applications. Participants will learn to characterize floods with Google Earth Engine. Participants will also learn to analyze synthetic aperture radar (SAR) for agricultural applications, including retrieving soil moisture and identifying crop types.

Learning Objectives:

By the end of this training, attendees will be able to:

  1. analyze SAR data in Google Earth Engine
  2. generate soil moisture analyses
  3. identify different types of crops

Course Format:

  • This webinar series will consist of two, two-hour parts
  • Each part will include a presentation on the theory of the topic followed by a demonstration and exercise for attendees.
  • This training is also available in Spanish. Please visit the Spanish registration page for more information.
  • A certificate of completion will also be available to participants who attend all sessions and complete the homework assignment, which will be based on the webinar sessions. Note: certificates of completion only indicate the attendee participated in all aspects of the training, they do not imply proficiency on the subject matter, nor should they be seen as a professional certification.

Prerequisites:

Prerequisites are not required for this training, but attendees that do not complete them may not be adequately prepared for the pace of the training.

  • Introduction to Synthetic Aperture Radar
  • Advanced Webinar: Radar Remote Sensing for Land, Water, and Disaster Applications

Audience:

The target audience for this training are local, regional, state, federal, and international organizations interested in using satellite imagery for agricultural and flood related applications.

Part One: Monitoring Flood Extent with Google Earth Engine

This session will focus on the use of Google Earth Engine (GEE) to generate flood extent products using SAR images from Sentinel-1. The first third of the session will cover basic principles of radar remote sensing related to flooded vegetation. The remaining time in the session will be dedicated to a demonstration on how to use GEE to generate flood extent products with Sentinel-1.

Part Two: Exploiting SAR to Monitor Agriculture

Featuring guest speaker Dr. Heather McNairn, from Agriculture and Agri-Food Canada, this session will focus on using SAR to monitor different agriculture related topics. Building on the skills learned in the SAR agriculture session from 2018. The first part of the session will cover the basics of radar remote sensing as related to agriculture. The remainder of the session will focus on the use of SAR to retrieve soil moisture, identify crop types, and map land cover.

Application Area: Disasters
Available Languages: English
Instruments/Missions: Sentinel
Keywords:Flooding, Land-Cover and Land-Use Change (LCLUC), Satellite Imagery, Tools

Prepare with the EO College resource on Remote Sensing techniques for Land Cover/Land Use monitoring

This is an introduction into the classification of land cover and land use from Earth observation data. The presentation includes:

  • Land Use / Land Cover
  • EO Image classification
  • Land Cover Classification Systems
  • Accuracy Assessment
Published in Online, Training

Published in: Online, Training

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