Open Source GIS: A GRASS GIS Approach  Markus Neteler, Helena Mitasova  1. Edition 2002, 464 pages  Kluwer Academic Press, Boston, Dordrecht

[ New edition 2007 ]

• Table of contents
• List of Figures
• List of Tables
• Foreword
• Preface
• Acknowledgments

1. Open Source software and GIS
• Open Source concept
• GRASS as an Open Source GIS
• How to read this book
2. Prerequisites to use GRASS
• Hardware and software requirements
• UNIX basics
• What is UNIX?
• Login and X Window
• Managing files
• Running applications
• Downloading and installing GRASS
3. GIS concepts and GRASS
• General GIS principles
• Geospatial data models
• Organization of GIS data
• GIS functionality
• Introduction to GRASS
• Organization of the GRASS database
• Command structure
• A short GRASS sample session
• GRASS file management
4. Planning a GRASS DATABASE
• Map projections and coordinate systems
• Map projection principles
• Geographic coordinate system: latitude-longitude
• Universal Transverse Mercator Grid System
• Lambert Conformal Conic Projection based systems
• Gauss-Krüger Grid System
• North American and European Datums
• Working with different projections in GRASS
• Creating a new LOCATION
• Coordinate system transformations
5. Working with raster data
• GRASS raster data model
• Import and export of raster data
• Importing raster data
• Importing and geocoding of scanned maps
• Exporting raster data
• Viewing and managing raster map layers
• Displaying raster data and assigning a color table
• Raster map queries and profiles
• Zooming and generating subsets from raster maps
• Managing metadata of raster maps
• Reclassification of raster maps
• Assigning category labels
• Masking and handling of no-data values
• Raster data transformation and interpolation
• Automated vectorization of discrete raster data
• Generating isolines representing continuous fields
• Raster data transformation to sites model
• Interpolation of raster data and resampling
• Recoding of raster map types and value replacements
• Spatial analysis with raster data
• Map statistics and neighborhood analysis
• Overlaying and merging raster maps
• Buffering of raster features
• Cost surfaces
• DEM and watershed analysis
• Landscape structure analysis and modeling
6. Working with Vector Data
• GRASS vector data model
• Importing and exporting vector data
• Importing vector data
• Exporting vector data
• Digitizing vector data
• General principles for digitizing topological data
• Digitizing in GRASS
• Metadata and attributes management
• Managing metadata of vector maps
• Map attributes modifications
• Viewing and analysis
• Displaying vector map layers
• Intersecting and clipping vector maps
• Map reclassification
• Feature extraction from vector data
• Vector data transformation to/from raster and sites
• Automatic vectorization of raster data
• Discrete transformation of vector data to raster or sites
• Interpolating raster surfaces from contour lines
7. Working with site data
• GRASS site data model
• Importing, creating and exporting sites
• Importing site data
• Digitizing site data
• Generating site data within GRASS
• Exporting site data
• Viewing and managing site data
• Displaying site data and creating subsets
• Computing basic statistics
• Transformation from sites to rasters and spatial interpolation
• Selecting an interpolation method
• Interpolating with RST: tuning the parameters
• Estimating accuracy
• Interpolating large data sets
• Surfaces with faults
• Adding third variable: precipitation with elevation
• Volume and volume-temporal interpolation
• Geostatistics and splines
8. Graphical output and visualization
• Two-dimensional display and animation
• Displaying map layers using the GRASS monitor
• Creating a 2D shaded elevation map
• Monitor output to PNG and HTML files
• Animations in 2D space
• Visualization in 3D space with NVIZ
• Viewing multiple map layers
• Querying and analyzing data in nviz
• Creating animations in 3D space
• Visualizing volumes
• Creating hardcopy maps
• Map generation with ps.map
• Map design with Xfig and Sketch
9. Satellite image processing
• Remote sensing basics
• Spectrum and remote sensing
• Satellite sensors
• Satellite data import and export
• Import of raw and geocoded satellite data
• Export of multi-channel data sets
• Understanding a satellite data set
• Managing channels and colors
• The feature space and image groups
• Geometric and radiometric preprocessing
• Geometric preprocessing
• Radiometric preprocessing
• Application: Deriving a surface temperature map from thermal channel
• Radiometric transformations and image enhancements
• Image ratios
• Principal Component Transformation
• Fourier Transformation
• Geometric feature analysis
• Matrix filter: Spatial convolution filtering
• Edge detection
• Image fusion
• Introduction to RGB and IHS color model
• RGB color composites
• Image fusion with IHS transformation
• Image fusion with Brovey transformation
• Thematic reclassification of satellite data
• Unsupervised radiometric reclassification
• Supervised radiometric reclassification
• Supervised SMAP reclassification
10. Processing of aerial photos
• Introduction to aerial photogrammetry
• Orthophoto generation
• From aerial photo to orthophoto
• Aerial photo and LOCATIONs preparation
• Orthophoto generation
• Segmentation and pattern recognition for aerial images
11. Notes on GRASS programming
• GRASS programming environment
• Methods of GRASS programming
• Level of integration
• Script programming
• Automated usage of GRASS
• Notes on programming GRASS modules in C
12. Using GRASS: Application Examples
• Erosion risk in Spearfish area
• Computation of the LS factor
• Estimating R, K, and C factors
• Computing and analyzing erosion risk
• GIS modeling for land management
• Building the GIS database
• Deriving new map layers
• Land use analysis, problems and solutions
13. Using GRASS with other Open Source tools
• Geostatistics with GRASS and gstat
• Spatial data analysis with GRASS and R
• Spearfish data set analysis
• Maas river bank soils data analysis
• Using R in batch mode
• GPS data handling
• Maps in WWW: MapServer

• Appendix
• References
• Summary of important GRASS commands
• Display commands
• General commands
• Image processing commands
• Miscellaneous and map projection commands
• Postscript and PPM driver commands
• Raster data commands
• Site data commands
• Vector data commands
• Supported GIS data formats in GRASS
• Customizing GRASS by environment variables
• Usage UNIX text tools for GIS data preparation
• Selected equations used in GRASS modules
• Basic Statistics
• Interpolation
• Topographic analysis
• Insolation
• MapServer sample configuration
• MapServer definition file
• MapServer HTML template
• Index