Description

Remote sensing data can help professionals manage and monitor extreme weather conditions. In this training led by NASA's Applied Remote Sensing Training program (ARSET), participants learned how to access and analyze available NASA data relevant to flood management. This includes data on precipitation, soil moisture, inundation mapping, and elevation modeling. Participants learned to apply data for assessing flood risk, monitoring conditions, and planning relief. Each session included a presentation followed by an opportunity to use the data and tools covered in the presentation.

Prerequisites

• Fundamentals of Remote Sensing
• Download and Install Python (PDF, 152 KB)
• Download and Install Panoply
  Further information about using Panoply is available:
  • Panoply Orientation Video
  • Panoply Orientation (PDF, 74 KB)
  • How to Open a netcdf File in Panoply (PDF, 292 KB)
  • Overview of Panoply Sources Browser Menu Options (PDF, 327 KB)
  • Creating a Longitude-Latitude Plot in Panoply to Visualize Datasets

Objectives

At the end of this course, participants will be able to:

• Apply open-source data and tools to flood monitoring and management
• Utilize satellite observations to evaluate extreme weather conditions, prepare for impending flooding, and plan relief activities

Target Audience

This training is designed for local, regional, state, federal, and non-governmental organizations involved in flood monitoring and management.

Course Format

• Three days

Sessions

Day 1

Tuesday, April 18, 2017

Session 1A: Precipitation from Remote Sensing Measurements

Session 1B: Digital Elevation Data from Remote Sensing

Day 2

Wednesday, April 19, 2017

Session 2A: Overview of Synthetic Aperture Radar (SAR) Data for Flood Detection

Session 2B: Soil Moisture Active Passive (SMAP) Mission

Day 3

Thursday, April 20, 2017

Session 3A: Flood Management and Monitoring Tools

Session 3B: Flood Monitoring and Management Case Study