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Contents:
1. Data visualization with QGIS
1.1. Introduction to GIS
1.2. Coordinate reference Systems
1.2.1. Projections
1.2.2. EPSG
1.3. GIS data modelling
1.3.1. Raster data
1.3.2. Vector data
1.4. GeoPackage
1.5. Introduction to QGIS
1.6. QGIS interface
1.7. Managing GeoPackages
1.8. QGIS visualization for vectors
1.8.1. Single symbol style
1.8.2. Categorized style
1.8.3. Feature labels
1.8.4. Graduated style
1.8.5. Saving and loading style
1.9. QGIS visualization for rasters
1.9.1. Singleband gray
1.9.2. Singleband-pseudocolor
1.9.3. Paletted/unique values
1.10. Printing maps with QGIS
1.11. Atlases
2. GIS and Analysis Tools
2.1. Introduction to Geospatial Web Services
2.2. Accessing OGC services with QGIS
2.2.1. WMS/WMTS
2.2.2. WFS
2.2.3. WCS
2.3. Extending QGIS functionalities
2.3.1. Processing toolbox
2.3.2. Plugins
2.4. Vector processing
2.4.1. Map digitizing
2.4.2. Attribute table: selection, editing and field calculator
2.4.3. Join
2.4.4. Geoprocessing tools for vector data: dissolve
2.4.5. Geoprocessing tools for vector data: intersection
2.4.6. Geoprocessing tools for vector data: buffer
2.4.7. Rasterization
2.5. Raster processing
2.5.1. Reprojection
2.5.2. Removing NoData
2.5.3. Raster calculator
2.5.4. Vectorization
2.5.5. Clip raster with a mask, clip raster by extent
2.5.6. Overlay statistics
2.6. Graphical modeler
3. Earth Observation & Imagery Analysis
3.1. Fundamentals of multispectral Earth observation
3.1.1. Remote sensing, Earth observation and GIS
3.1.2. Satellites for Earth observation
3.1.2.1. Satellite orbits and revisit time
3.1.2.2. Digital images and the EM spectrum
3.1.2.3. Spectral characteristics
3.1.2.4. Spatial resolution and swath width
3.1.3. Copernicus and the Sentinels
3.1.3.1. The Copernicus programme
3.1.3.2. Multispectral Sentinel satellites
3.1.4. Beyond satellite images
3.1.4.1. Copernicus Atmosphere Monitoring Service
3.1.4.2. Copernicus Marine Environment Monitoring Service
3.1.4.3. Copernicus Land Monitoring Service
3.1.4.4. Copernicus Climate Change Service
3.1.4.5. Copernicus Security Service
3.1.4.6. Copernicus Emergency Management Service
3.2. Principles of image analysis
3.2.1. The spectral signature
3.2.1.1. What is a spectral signature
3.2.1.2. Land cover vs land use
3.2.1.3. Spectral signatures of the main macro land cover classes
3.2.1.4. How to measure spectral signatures with satellites
3.2.1.5. How to compare spectral signatures
3.2.2. Spectral indices for environmental monitoring
3.2.2.1. What is a spectral index
3.2.2.2. How spectral indices are designed
3.2.3. Automatic land cover mapping
3.2.3.1. Supervised image classification
3.2.3.2. Classification strategies
3.2.4. Map validation
3.2.4.1. Precision or accuracy?
3.2.4.2. How much is accurate a map?
3.3. Access to Copernicus satellite images for free
3.3.1. Sentinel Hub EO Browser
3.3.1.1. How to select the correct products with Sentinel Hub EO Browser
3.3.1.2. How to view the satellite images with Sentinel Hub EO Browser
3.3.1.3. How to download the data with Sentinel Hub EO Browser
3.3.2. Some alternative repositories
3.4. Hands-on exercises
3.4.1. Monitoring lake’s trophic state (difficulty: advanced)
3.4.1.1. Download the data
3.4.1.2. The environmental problem
3.4.1.3. Scope of the exercise
3.4.1.4. Study area
3.4.1.5. Satellite images
3.4.1.6. The modelling
3.4.1.7. Chlorophyll’s concentration and water level
3.4.1.8. QGIS set-up
3.4.1.9. Prepare the satellite images
3.4.1.10. Load the satellite images with the correct colours
3.4.1.11. Resize the image
3.4.1.12. Calculate the Ratio Vegetation Index
3.4.1.13. Sample the RVI in the calibration sites
3.4.1.14. Calibrate the spectral model
3.4.1.15. Create an automatic workflow
3.4.1.16. Create a batch processing to manipulate all the satellite images at once
3.4.1.17. Estimate the chlorophyll’s concentration in Lake Trasimeno
3.4.1.18. Simple analysis of results
3.4.2. Mapping crop types (difficulty: intermediate)
3.4.2.1. Download the data
3.4.2.2. The environmental problem
3.4.2.3. Scope of the exercise
3.4.2.4. Study area
3.4.2.5. Satellite images
3.4.2.6. Land cover information
3.4.2.7. Methods
3.4.2.8. QGIS set-up
3.4.2.9. Prepare multiband files for 10-meter satellite images
3.4.2.10. Prepare multiband files for 20-meter satellite images
3.4.2.11. Resize the image
3.4.2.12. Create the training samples for image classification
3.4.2.13. Automatic mapping of crop types
3.4.2.14. Simple analysis of results
3.4.3. Monitoring crops’ vegetative stage (difficulty: easy)
3.4.3.1. Download the data
3.4.3.2. The environmental problem
3.4.3.3. Scope of the exercise
3.4.3.4. Study area
3.4.3.5. Satellite images
3.4.3.6. Land cover information
3.4.3.7. Methods
3.4.3.8. QGIS set-up
3.4.3.9. Calculate NDVI
3.4.3.10. Select the NDVI information for Barley and Potato
3.4.3.11. Compare winter crops and summer crops
3.4.3.12. Simple analysis of results
3.4.4. Additional resources
4. Geospatial Data Processing for crisis mapping and Copernicus EMS Services
4.1. Copernicus EMS and crisis maps production
4.1.1. Copernicus EMS on demand mapping
4.1.2. Copernicus EMS on demand mapping
4.1.3. Crisis maps production
4.1.4. Crisis maps for Earthquakes
4.1.5. Crisis maps for Fires
4.1.6. Crisis maps for Floods
4.1.7. Crisis maps validation
4.1.8. Early warning and monitoring services
4.1.9. European Flood Awareness Systems (EFAS) and Global Flood Awareness Systems (GloFAS)
4.1.10. European Forest Fire Information System (EFFIS) and Global Wildfire Information System (GWIS)
4.1.11. European Drought Observatory (EDO) and Global Drought Observatory (GDO)
4.2. Mapping the impact of a disaster
4.2.1. Flood Mapping and flood impact
4.2.2. Fire Mapping
4.2.3. Other Useful Resources
Credits
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