information retrieved from https://arset.gsfc.nasa.gov/disasters/webinars/2019-SAR
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.
By the end of this training, attendees will be able to:
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.
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
Keywords:Flooding, Land-Cover and Land-Use Change (LCLUC), Satellite Imagery, Tools
This is an introduction into the classification of land cover and land use from Earth observation data. The presentation includes: