NASA ARSET: Case Study - Use of Remote Sensing for Climate-Sensitive Infectious Diseases Part 2/2

Remote Sensing for Climate-Sensitive Infectious Diseases

Part 2: Case Study in the Use of Remote Sensing to Study Climate-Sensitive Infectious Diseases

Identify environmental variables and conditions relevant to malaria that can be observed from space.
Recognize why the remote sensing datasets used in this case study were chosen, based on their key attributes.
Recognize the steps taken for accessing and preparing remote sensing data for use in this case study.
Identify the steps used by the EPIDEMIA system for integrating remote sensing data.
Examine the benefits and challenges of using remote sensing data for tracking and forecasting
malaria in Ethiopia, and how these were addressed through the case study.
Examine the primary outcomes of the case study and ways its approach might be expanded in the future.

You can access all training materials from this webinar series on the training webpage: https://go.nasa.gov/4lRdprZ

This training was created by NASA's Applied Remote Sensing Training Program (ARSET). ARSET is a part of the NASA Earth Action Capacity Building Program. Learn more about ARSET: https://www.earthdata.nasa.gov/data/p...