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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.
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Subjects
Earth sciences, Geography, Remote sensing, Computer science, Computer vision, Geographical information systems, Earth System Sciences, Remote Sensing/Photogrammetry, Geographical Information Systems/Cartography, Programming Techniques, Image Processing and Computer Vision, Environmental Monitoring/Analysis| Edition | Availability |
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1
Open Source Geospatial Tools: Applications in Earth Observation
Sep 10, 2016, Springer
paperback
3319346253 9783319346250
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2
Open Source Geospatial Tools: Applications in Earth Observation
2014, Springer
in English
3319018248 9783319018249
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3
Open Source Geospatial Tools: Applications in Earth Observation
Nov 24, 2014, Springer
hardcover
331901823X 9783319018232
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Book Details
Edition Notes
Source title: Open Source Geospatial Tools: Applications in Earth Observation (Earth Systems Data and Models)
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- Created May 9, 2020
- 3 revisions
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| August 12, 2024 | Edited by MARC Bot | import existing book |
| December 25, 2021 | Edited by ImportBot | import existing book |
| May 9, 2020 | Created by ImportBot | Imported from Harvard University record |


