MediaWiki:Collections/Quantum GIS Tutorial 28.09.2011
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== Remote Sensing and Image Processing with Open Source Software == | == Remote Sensing and Image Processing with Open Source Software == | ||
=== Quantum GIS Tutorial === | === Quantum GIS Tutorial === | ||
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[[Category:Collections]] | [[Category:Collections]] | ||
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[edit] Remote Sensing and Image Processing with Open Source Software
[edit] Quantum GIS Tutorial
- Tutorial basics
- QGIS tutorial
- QGIS installation
- QGIS for students
- Course data
- Using CIP pool computers
- Introduction to Quantum GIS
- Introduction to Quantum GIS
- Language settings
- Project settings
- Vector layer properties
- Attribute table
- Raster layer properties
- Plugins
- GRASS integration
- GRASS toolbox
- GRASS manual
- GRASS shell
- Region settings
- Creating a new location
- GRASS data import
- Download from GLCF
- Exercise 01
- Exercise 02
- Exercise 03
- Exercise 04
- Exercise 05
- Exercise 06
- Exercise 07
- Exercise 08
- Exercise 09
- Georeferencing
- Georeferencing a topographic map
- Georeferencing an aerial photograph
- Mosaicing
- Exercise 10
- Exercise 11
- Exercise 12
- Import data
- OpenStreet Map layer
- Load a WMS-Layer
- Exercise 13
- Projection
- Reprojection of rasters
- Reprojection of vectors
- Displaying rasters
- Grayscale
- Pseudocolor
- Color composites
- Color tables
- Exercise 14
- Exercise 15
- Exercise 16
- Exercise 17
- Digital Elevation Model processing
- Creating a DEM from vector data
- The Profile plugin
- Terrain analysis
- Evaluation of digital elevation models
- Exercise 18
- Exercise 19
- Exercise 20
- Exercise 21
- Exercise 22
- Exercise 23
- Exercise 24
- Overview on GPS applications
- The GPS tools plugin
- Defining an own custom Spatial Reference System (SRS)
- Creating GPS waypoints
- Outdoors with the GPS receiver
- Using the GPS Tracking Plugin
- Download from GPS receiver
- Digital photo links with the eVIS plugin
- Image enhancement
- Image fusion using color transformations
- Brovey Transformation
- Automated cloud detection
- Principal components analysis (PCA)
- Normalized Difference Vegetation Index (NDVI)
- Image subtraction
- Spectral ratioing
- Tasseled cap
- Exercise 25
- Exercise 26
- Exercise 27
- Exercise 28
- Exercise 29
- Exercise 30
- Exercise 31
- Exercise 32
- Exercise 33
- Exercise 49
- Exercise 34
- Exercise 35
- Spatial filtering
- Geometric feature analysis with matrix filters
- Defining filters
- Low pass filter
- High pass filter
- Edge detection
- Texture features
- Working with vector data
- CORINE LUCCS (Land use / cover classification system)
- Creating new vector layers
- Using external information sources as reference for training site delineation
- Exercise 36
- Exercise 37
- Exercise 38
- Exercise 39
- Exercise 40
- Exercise 41
- Exercise 42
- Digitizing
- Configure digitizing options
- Digitizing
- Digitizing reference areas
- Digitizing reference areas: training and test areas
- Sampling tools
- Random sampling
- Systematic sampling with circular sampling plots
- Construction of a regular grid
- Image classification
- Creating groups and subgroups of image bands
- Unsupervised classification
- Supervised Maximum Likelihood Classification
- Supervised SMAP classification
- Classification accuracy
- Exercise 43
- Exercise 44
- Exercise 45
- Exercise 46
- Exercise 47
- Exercise 48
- Exercise 50
- Exercise 51
- Change detection
- Multitemporal color composites
- Image Algebra change detection
- Principal components
- Exercise 52
- Exercise 53
- Exercise 54
- Exercise 55
