Applications of SMAP and Evapotranspiration Data: Webinar Series

If you are interested in Soil Moisture Active Passive (SMAP) data, we would like to bring your attention to an upcoming webinar series offered by the NASA Applied Remote Sensing Training (ARSET) Program that is focused on applications of SMAP and evapotranspiration data. This webinar series will help attendees learn about NASA soil moisture and evapotranspiration products and how to access and apply them for water resource management. Over the course of five weeks, attendees will learn how to monitor and manage water resources with techniques learned in training. The series will begin with an introduction to satellite missions and useful data sets. Next, trainers will demonstrate online portals for accessing data. The series will conclude with specific examples of how you can apply the data and modeled data products.

Webinar series details
Applications of Remote Sensing to Soil Moisture and Evapotranspiration
Dates: Thursdays, from September 1 to September 29.
Times: 11:30-12:30 or 18:00-19:00, Eastern Daylight Time (EDT).

Agenda:
Week 1: Introduction to Soil Moisture, Evapotranspiration, and an Overview of the SMAP Satellite Mission
Week 2: Applications of SMAP Data
Week 3: Accessing SMAP Data
Week 4: Landsat-based Evapotranspiration Estimates (METRIC) and Google Earth Engine Evapotranspiration Flux (EEFlux) Portal
Week 5: MODIS-based Evapotranspiration (ALEXI) and Soil Moisture and Evapotranspiration data from GLDAS/NLDAS

For more information and to register, please see:
https://arset.gsfc.nasa.gov/water/webinars/apps-et-smap

SMAP-Southeastern-US-flood

Surface soil moisture in the Southeastern United States as retrieved from NASA’s SMAP satellite observatory at around 6 a.m. on Oct. 5, 2015. Large parts of South Carolina appear blue, representing areas with saturated soil conditions and possible standing water resulting from heavy localized rains and flooding. Large-scale flooding was experienced all over South Carolina on Oct. 5-6, 2015. Credit: NASA/JPL-Caltech/GSFC