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[[Recommended article sequence]]
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<!-- Auskommentiert, da Extension headertabs mit Version 1.19 nicht mehr funktioniert. Stattdessen oben ein Link auf die jetzt statische Recommended article sequence
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<td style="width: 25px; padding-left: 0.5em;">[[image:qgislogo.png|31px|]]</td>
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= Content =
<td style="width: 20px; white-space: nowrap; padding: 0.5em">'''{{{message}}}'''&nbsp;</td>
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Overview of all pages in this category
<td style="padding: 1px 1em 0; background: #b5b5b5;">'''actual category:''' [[{{{act}}}]]</td>
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# [[Foreword]]
<td style="padding: 1px 1em 0; background: #c9c9c9;">'''previous category:''' [[{{{pre}}}]]</td>
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# [[:category:tutorial basics|Content]]
<td style="padding: 1px 1em 0; background: #d9d9d9;">'''next category:''' [[{{{nex}}}]]</td>
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# [[QGIS tutorial|Tutorial home]]
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= Lecture 1 =
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Open source concepts, installation of QGIS and GRASS 6.4 under Windows XP and other OS
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# [[QGIS for students]]
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# [[Course data]]
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# [[QGIS installation]]
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# [[Introduction to Quantum GIS]]
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= Lecture 2 =
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First steps in GRASS using the GRASS plugin, planning a GRASS project area, region settings, deleting maps and projects
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# [[QGIS GUI]]
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# [[GRASS integration]]
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# [[GRASS toolbox]]
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# [[GRASS manual]]
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# [[GRASS shell]]
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# [[GRASS region]]
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# [[Creating a new location]]
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# [[GRASS data import]]
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= Lecture 3 =
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Georeferencing of topographic raster maps as basic information,  geocoding of aerial photos
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# [[Georeferencing a topographic map]]
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# [[Georeferencing an aerial photograph]]
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# [[Mosaicing]]
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= Lecture 4 =
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WebGis  and Database applications, coordinate and datum  transformations.  Assigning color tables, image statistics, histogram,  color composites,  subsets and multilayer stacking
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# [[Load a WMS-Layer]]
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# [[OpenStreet Map layer]]
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# [[Reprojection of vectors]]
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# [[Reprojection of rasters]]
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# [[Color tables]]
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# [[Color composites]]
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= Lecture 5 =
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Import  and processing of digital terrain models (DTM),  filling missing  values, DEM profiles, calculating slope, aspect and  contour lines, 3D  visualization and shaded relief
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# [[Creating a DEM from vector data]]
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# [[The Profile plugin]]
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# [[Terrain analysis]]
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# [[Evaluation of digital elevation models]]
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= Lecture 6 =
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Download and Processing of GPS data. Geocaching, GPS tracking, creation of waypoints, updating Open Street Map layers
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# [[The GPS tools plugin]]
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# [[Defining an own custom Spatial Reference System (SRS)]]
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# [[Creating GPS waypoints]]
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# [[Outdoors with the GPS receiver]]
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# [[Using the GPS Tracking Plugin]]
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# [[Download from GPS receiver]]
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# [[Digital photo links with the eVIS plugin]]
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= Lecture 7 =
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Radiometric  corrections, atmospheric effects. Introduction to raster algebra,  atmospheric effects, cloud masking and  haze reduction, image fusion  (IHS, Brovey)
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# [[Image fusion using color transformations]]
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# [[Brovey Transformation]]
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# [[Automated cloud detection]]
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= Lecture 8 =
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Vegetation indices, tasseled cap transformation
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# [[Principal components analysis (PCA)]]
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# [[Normalized Difference Vegetation Index (NDVI)]]
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# [[Image subtraction]]
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# [[Spectral ratioing]]
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# [[Tasseled cap]]
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Spatial filtering
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# [[Geometric feature analysis with matrix filters]]
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# [[Defining filters]]
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# [[Low pass filter]]
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# [[High pass filter]]
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# [[Edge detection]]
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# [[Texture features]]
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= Lecture 9 =
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Theory  of vector topology, visual interpretation of  remote sensing imagery,  mapping of land cover polygons and roads,  topology management
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# [[CORINE LUCCS (Land use / cover classification system)]]
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# [[Creating new vector layers]]
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Digitizing
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# [[Configure digitizing options]]
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# [[Digitizing]]
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Sampling tools
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# [[Random sampling]]
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# [[Systematic sampling with circular sampling plots]]
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# [[Construction of a regular grid]]
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# [[Using external information sources as reference for training site delineation]]
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# [[Digitizing reference areas]]
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= Lecture 10 =
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Intro to classification methods in remote sensing, pixel-based unsupervised methods, the maximum liklihood algorithm
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# [[Creating groups and subgroups of image bands]]
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# [[Unsupervised classification]]
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# [[Supervised Maximum Likelihood Classification]]
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= Lecture 11 =
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Supervised classification, accuracy statistics
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# [[Supervised SMAP classification]]
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# [[Classification accuracy]]
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= Lecture 12 =
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Change detection techniques and hardcopy map production
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# [[Multitemporal color composites]]
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# [[Image Algebra change detection]]
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# [[Principal components]]
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<headertabs />
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-->
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<noinclude>
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[[category: Exclude in print]]
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</noinclude>

Latest revision as of 16:20, 26 March 2013

Recommended article sequence

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