WeMAST Phase II: Online Training II Google Earth Engine Cloud-Computing and EO applications in Wetland Monitoring and Assessment

WeMAST Phase II: Online Training II Google Earth Engine Cloud-Computing and EO applications in Wetland Monitoring and Assessment

Wetland Monitoring and Assessment Platform for Transboundary River Basins in Southern Africa (WeMAST) project is pleased to announce a training course on Earth Observation (EO) Data Access and Analytics using Google Earth Engine cloud-computing platform for wetlands monitoring and assessment. The course is designed to develop fundamental knowledge and technical proficiency in Google Earth Engine Cloud- Computing and EO applications in Wetland Monitoring and Assessment. This training is made possible with funding from GMES and Africa Support Programme, a joint initiative of the African Union and the European Union.

Learning outcomes

By the end of the training, participants should have:

Knowledge of how GEE and remote sensing are applied in wetland monitoring and assessment.
Understanding of the GEE cloud-computing platform and how it works.
Technical proficiency in the use of the GEE platform.

Participant Targets: River basin organizations, national water/ environmental authorities, academic and research institutions, private sector, local communities’ representatives, non-governmental organisations, women in natural and water resources management.

Mode of Training

The training will be ONLINE. Participants must have their own laptop computers capable of performing basic geospatial and remote sensing analyses. During the training, participants will be given a training kit, which includes a set of documents. The training materials will also be later freely available on the GMES and Africa digital learning platform. The training will be facilitated by Prof Timothy Dube, University of the Western Cape, South Africa and Dr Thomas Marambanyika, Midlands State University, Zimbabwe.

Training dates

The two-day WeMAST training course on EO applications in wetland monitoring and assessment will run from 15 November 2023 to 16 November 2023.

Deadline for registration is 10th of November 2023. Women are strongly encouraged to apply.

To apply, please click here.

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