NASA ARSET: New Sensor Highlight: ECOSTRESS, Part  1/1
Channel: NASA ARSET
Date: 21/11/2019

In ARSET’s first lightning style training, we present new NASA Earth observing technologies that can be used to support resources management.  This webinar focused on a NASA instrument that was launched and installed on the International Space Station in Summer 2018.  Designed to study terrestrial ecosystems and plant water stress from the ISS, ECOSTRESS can also be used to better understand crop health, volcanoes, urban heat, wildland fires, coastal systems, and much more. 

The primary science and applications mission of ECOSTRESS is to address three critical questions around vegetation health and agriculture:

How is the terrestrial biosphere responding to changes in water availability?
How do changes in diurnal vegetation water stress impact the global carbon cycle?
Can agricultural vulnerability be reduced through advanced monitoring of agricultural water consumptive use and improved drought estimation?

Learning Objectives: 
By the end of this one-hour introduction, attendees will understand: 

what parameters are monitored by ECOSTRESS
how ECOSTRESS measurements are taken, including the spatial and temporal resolution of the data
how to access and download ECOSTRESS data via LPDAAC
case study examples of the use of ECOSTRESS for land management applications

Course Format: 
A single, one-hour part that include a lecture and a question & answer session

Prerequisites: 
Attendees should be familiar with the fundamentals of remote sensing. Participants without that level of knowledge may not be adequately prepared for all the terms and concepts presented. 

Audience: 
Local, regional, state, federal, and non-governmental organizations involved in land management, drought monitoring, and agricultural applications

Agenda: This session will cover: 

Introduction to ECOSTRESS
Data format, details, variables (resolution, etc.) 
ECOSTRESS case study examples
Demonstration: ECOSTRESS data access via LPDAAC and AppEEARS
Question & Answer Session