Please join a one hour webinar which showcases the launch of a new online training course, Remote Sensing for Forest Cover Change Detection using freely available, open source software – hosted on the SERVIR Training Materials web portal.
Webinar Dates: April 20, 5:00 pm in Nairobi, 3:00 pm in Niamey (8:00 am MST) May 3, 2017 at 9:00 am SE Asia, 7:45 am Nepal (May 2, 8:00 pm MST)
The webinar will highlight new training materials that instruct on the basic principles of how to plan and implement a forest cover change detection analysis. These include hands-on exercises that guide the learner through the complete change detection and accuracy assessment analysis workflow. The material consists of four modules: project planning and documentation, acquiring data with Google Earth Engine, land cover mapping, and mapping and classifying areas of change. Each module includes a presentation of the theory and introduction to the workflow, followed by hands-on exercises.
The course follows the IPCC Good Practice Guidance principles and is consistent with the methodological advice by the Global Forest Observation Initiative for forest monitoring in the context of REDD+ (Reducing Emissions from Deforestation and Forest Degradation). In addition to meeting international reporting requirements, following consistent and transparent methodology for generating activity data is important for informing policy decisions and measures. The methods presented can be generalized to track any land cover transition of interest, thus making it applicable for a wide-range of users.
The online training materials allow anyone interested in learning more about the use of remote sensing tools to map and measure land cover change. The content is best suited for participants that have a basic understanding of GIS, while a general awareness of remote sensing technology and theory would also be beneficial. The material was developed in partnership with United States Forest Service International Programs and Geospatial Technology and Applications Center, SilvaCarbon, US Agency for International Development, Boston Education in Earth Observation Data Analysis at Boston University Department of Earth and Environment, SERVIR Global, and Google Earth Engine Team.
Connecting to the Webinar:
Adobe Connect: https://usfs.adobeconnect.com/gtac-100-1
Connecting to the Audio:
Access Code: 4016370#
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