Prolonged drought can result in economic, environmental, and health-related impacts. In this training, participants can learn how to monitor drought conditions and assess impacts on the ecosystem using precipitation, soil moisture, and vegetation data. The training provides an overview of drought classification, as well as an introduction to web-based tools for drought monitoring and visualization.
By the end of the training, participants will be able to:
This training is for regional, state, federal, and international organizations interested in using remote sensing to monitor drought. Professional organizations in the public and private sectors engaged in environmental management and monitoring will be given preference over organizations focused primarily on research.
Wednesday, July 12, 2017
This session will include an overview of drought classification, an introduction to web-based drought monitoring tools, a demonstration of drought data visualization tools, and end with an exercise for attendees to practice downloading data.
Wednesday, July 19, 2017
This session will include a demonstration of soil moisture, ground water, normalized difference vegetation index (NDVI), and evapotranspiration (ET) data access and visualization, and will use a case study (California) exercise to demonstrate how participants can analyze drought conditions. Background will also be provided for a case study (northern Africa) to be used by participants to independently conduct their own analysis.
| Dataset Name | Format |
|---|---|
| Soil Moisture Active Passive (SMAP) Mission | |
| Trends in Global Freshwater Availability from the Gravity Recovery and Climate Experiment (GRACE) | GeoTIFF, PDF, PNG, WMS |
(2017). ARSET - Remote Sensing of Drought. NASA Applied Remote Sensing Training Program (ARSET). /node/47409/node/47409.