Day: Wednesday, January 9, 2019
Description: This session will provide an overview of GIS, including the basic and most common vector and raster file types found. Fundamental tools such as zonal statistics will be introduced, and technical assistance will be provided to ensure that all software programs are prepared for use throughout each training session. It is assumed that participants in this session will have a basic background in the use of computer hardware and software, but no experience with GIS or spatial data.
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Day: Friday, January 11, 2019
Description: This session will provide an in-depth dive into the process of Geocoding, including the steps taken to geocode, the creation of data in machine-readable formats, accessing geocoding data from other sources (i.e., the GEF or World Bank), and focusing on the interpretation and meaning of geographic precision in the context of Geocoding. Participants will go through a full geocoding procedure for at least one project of their choice.
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Day: Monday, January 14, 2019
Description: This session will focus on the use of satellite imagery to identify the state of land cover at a given project implementation site. Participants in this session will learn how to identify, retrieve, and quality assure imagery from the Landsat satellite series. Using this data, participants will map vegetation at a project location, and quantify the level of vegetation using the Normalized Difference Vegetation Index (NDVI).
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Day: Wednesday, January 16, 2019
Description:This session will focus on advanced use of satellite imagery to identify other types of land cover (for example, impervious surfaces which may increase erosion), as well as how these land cover types might change over time. Multiple classification algorithms will be used and contrasted, and fundamental concepts such as reflectance curves will be created.
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Day: Friday, January 18, 2019
Description: This session will focus on the estimation of spillover effects - i.e., if deforestation or other negative activities occurred in areas proximate to an area of intervention. This has been an ongoing concern of REDD+, and subject to a great deal of analysis. Tools learned in this session will include buffer analysis and the use of global forest cover datasets.
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Day: Monday, January 21, 2019
Description: This session will focus on the use of sparsely measured geospatial data - for example, weather stations - and contrast different approaches to creating interpolated rasters using the information from such measurements. For interpolation, both Inverse Distance Weighting and TIN approaches will be contrasted. For advanced students, a brief introduction to big data analysis using Google Cloud is provided.
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Day: Wednesday, January 23, 2019
Description: This session will focus on identifying hotspots of aid activity, based on information across multiple donors. Further, it will explore different approaches to estimating where aid projects have been allocated under conditions of spatial uncertainty (i.e., the exact location of aid is not recorded). Weighting based on nighttime lights information will be used as an example case.
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Day: Friday, January 25, 2019
Description: This session will provide a recap of the previous sessions, as well as provide an opportunity for both Q&A and ensuring that all participants have access to all relevant data files.
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