DIDAIhub: SAR image analysis in GEE
Learning outcomes include understanding SAR remote sensing technology and using Sentinel 1 SAR images for built-up area mapping.
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Learning resources
DIDAIhub: Processing large raster images in GDAL
This mini-MOOC provides an overview of different phases of the data analysis pipeline using Python and its data analysis ecosystem with GDAL.
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DIDAIhub: Geospatial data management in postgres/postgis databases
This mini-MOOC focuses on competencies in adding, organizing, querying, retrieving, and combining data, and assessing data consistency with the help of the SQL tools in the DBMS and in QGIS.
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Resilience Academy: Classifying Sentinel 2 images in SNAP
Classify multispectral satellite images available in different platforms and download and manage the data sets using different open-source tools. You will be able to carry out a basic multispectral image processing flow based on supervised ML classification methods.
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Resilience Academy: Basic image processing methods with SNAP
Key steps of managing the data using the Sentinel Application Platform (SNAP) this includes installation of SNAP, use of different SNAP tools for performing basic visualization of the Sentinel 2 images as well as installation of a specific plugin for image processing.
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Resilience Academy: Multispectral satellite images in environmental remote sensing
Key concepts of environmental remote sensing and practical understanding of the importance of Earth observation in the identification, mapping, monitoring, analysis and modelling of our planet. After the completion of the tasks, you are able to argue for the significance of remote sensing in Earth observation, and you have gained practical skills in searching, exploring
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Community Urban Risk Mapping
On the basis of the practical lessons learned from Dar Ramani Huria this online course has been established. It includes the main concepts covered by Ramani Huria, structured as a self-learning course.
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Resilience Academy: Spatial analysis of PM data
Learn the principles of the analysis of geospatial data collected via participatory mapping.
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Resilience Academy: Participatory mapping process
You will learn the elements crucial for planning a participatory data collection campaign.
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Resilience Academy: Introduction to participatory mapping
You will learn the concepts and different participatory mapping tools and methods, which are applicable to local-level community participation, and which can facilitate land use planning processes. After completing, you are familiar with the key terms and concepts of PGIS/PPGIS and you have an overall idea of different tools available to collect geospatial community data.
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