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From Satellites to Solutions: Drought Monitoring with Google Earth Engine

The American Meteorological Society (AMS) Committee on Satellite Meteorology, Oceanography, and Climatology (SatMOC)  is pleased to offer a short course titled “Monitoring the El Niño – Southern Oscillation and its Impacts on the Weather'' during June – July 2024. This short course will consist of four 3-hour virtual training sessions described below. The training sessions are scheduled for 1:00 PM to 4:00 PM ET on June 18, 25, 27, and July 16. This series of four training sessions will demonstrate the use of environmental satellite data to monitor the El Niño – Southern Oscillation (ENSO) cycle and three weather impacts commonly associated with the ENSO cycle: flooding, drought, and severe weather.

These training sessions will provide hands-on experience for selecting and applying environmental satellite data products for monitoring ENSO and assessing several weather impacts associated with ENSO. Certificates of completion will be issued to students who participate in a minimum of 3 training sessions and the participation in each session must exceed one hour. The short course is primarily designed for undergraduate and graduate college students but others who are changing careers or moving to a position requiring increased environmental satellite knowledge will benefit from the course.

Sponsored by the AMS Committee on Satellite Meteorology, Oceanography, and Climatology 

Session Description

Droughts pose a critical threat to water resources, agriculture, and ecosystems worldwide. This hands-on workshop will teach you how to harness the power of Google Earth Engine (GEE) to monitor and analyze drought patterns. GEE's vast repository of satellite data and powerful cloud computing capabilities will streamline your drought research and decision-making.


Dr. Qiusheng Wu, Associate Professor of Geography and Sustainability
University of Tennessee, Knoxville

Qiusheng Wu Smiling in front of a grey screen.

Dr. Qiusheng Wu is an Associate Professor in the Department of Geography & Sustainability at the University of Tennessee, Knoxville. In addition, he holds positions as an Amazon Visiting Academic and a Senior Research Fellow at the United Nations University. Specializing in geospatial data science and open-source software development, Dr. Wu is particularly focused on leveraging big geospatial data and cloud computing to study environmental changes, with an emphasis on surface water and wetland inundation dynamics. He is the creator of several open-source packages designed for advanced geospatial analysis and visualization, including geemap, leafmap, and segment-geospatial.

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