Classifying Sentinel 2 images in SNAP
You will learn how to classify multispectral satellite images available in different platforms and how to 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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Basic image processing methods with SNAP
You will learn 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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Multispectral satellite images in environmental remote sensing
You will learn the 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
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Community Urban Risk Mapping
Basic and more advanced materials which allow it to be useful as an entry-level course, but it also provides deeper knowledge and tools for those with substantial prior knowledge and education in the subjects.
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Spatial analysis of PM data
Learn the principles of the analysis of geospatial data collected via participatory mapping.
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Participatory mapping process
You will learn the elements crucial for planning a participatory data collection campaign.
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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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Urban climatology
You will understand the principles of regional and urban climates, the mechanics of UHI, and know how to observe urban weather phenomena. Lastly you will learn modelling a continuous urban temperature with the aid of remotely sensed data and in situ observations.
Humans as drivers of climate change
You will understand the principles of anthropogenic climate forcing, the current drivers and processes of climate warming and its regional variation, plus the concepts of planetary boundaries, tipping elements and doughnut economy. Furthermore, you will learn how the various anthropogenic decisions and actions materialise as forcing factors contributing to climate change.
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