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Open Source Geospatial Tools Applications in Earth Observation
Author
Title
Open Source Geospatial Tools [electronic resource] : Applications in Earth Observation / by Daniel McInerney, Pieter Kempeneers.
ISBN
9783319018249
Publication
Cham : Springer International Publishing : Imprint: Springer, 2015.
Physical Description
1 online resource (XXVII, 358 p.) 96 illus., 50 illus. in color.
Local Notes
Access is available to the Yale community.
Access and use
Access restricted by licensing agreement.
Summary
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.
Variant and related titles
Springer ENIN.
Other formats
Printed edition:
Printed edition:
Printed edition:
Format
Books / Online
Language
English
Added to Catalog
September 27, 2018
Series
Earth Systems Data and Models,
Contents
Introduction
Vector data processing
Raster data explained
Introduction to GDAL utilities
Manipulating raster data
Indexed color images
Image overviews, tiling and pyramids
Image (re-)projections and merging
Raster meets vector data
Raster meets point data
Virtual rasters and raster calculations
Pktools
Orfeo Toolbox
Write your own geospatial utilities
3D point cloud data processing
Case study on Vector Spatial analysis
Multispectral land cover classification
Case study on point data
Conclusions and future outlook.
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