Open Source Geospatial Tools: Applications in Earth Observation
โ Scribed by Daniel McInerney, Pieter Kempeneers (auth.)
- Publisher
- Springer International Publishing
- Year
- 2015
- Tongue
- English
- Leaves
- 368
- Series
- Earth Systems Data and Models
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
This book focuses on the use of open source software for geospatial analysis. It demonstrates the effectiveness of the command line interface for handling both vector, raster and 3D geospatial data. Appropriate open-source tools for data processing are clearly explained and discusses how they can be used to solve everyday tasks.
A series of fully worked case studies are presented including vector spatial analysis, remote sensing data analysis, landcover classification and LiDAR processing. A hands-on introduction to the application programming interface (API) of GDAL/OGR in Python/C++ is provided for readers who want to extend existing tools and/or develop their own software.
โฆ Table of Contents
Front Matter....Pages i-xxv
Front Matter....Pages 1-1
Introduction....Pages 3-18
Vector Data Processing....Pages 19-50
Raster Data Explained....Pages 51-60
Introduction to GDAL Utilities....Pages 61-62
Manipulating Raster Data....Pages 63-80
Indexed Color Images....Pages 81-84
Image Overviews, Tiling and Pyramids....Pages 85-97
Image (Re-)projections and Merging....Pages 99-127
Raster Meets Vector Data....Pages 129-139
Raster Meets Point Data....Pages 141-161
Virtual Rasters and Raster Calculations....Pages 163-170
Front Matter....Pages 171-172
Pktools....Pages 173-197
Orfeo Toolbox....Pages 199-217
Write Your Own Geospatial Utilities....Pages 219-261
3D Point Cloud Data Processing....Pages 263-282
Front Matter....Pages 283-283
Case Study on Vector Spatial Analysis....Pages 285-293
Case Study on Multispectral Land Cover Classification....Pages 295-322
Case Study on Point Data....Pages 323-329
Conclusions and Future Outlook....Pages 331-335
Back Matter....Pages 337-358
โฆ Subjects
Earth System Sciences; Remote Sensing/Photogrammetry; Geographical Information Systems/Cartography; Programming Techniques; Image Processing and Computer Vision; Environmental Monitoring/Analysis
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