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Open Source Geospatial Tools = Applications in Earth Observation /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Open Source Geospatial Tools/ by Daniel McInerney, Pieter Kempeneers.
Reminder of title:	Applications in Earth Observation /
Author:	McInerney, Daniel.
other author:	Kempeneers, Pieter.
Description:	XXVII, 358 p. 96 illus., 50 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Physical geography. -
Online resource:	https://doi.org/10.1007/978-3-319-01824-9
ISBN:	9783319018249

Open Source Geospatial Tools = Applications in Earth Observation /
McInerney, Daniel.

Open Source Geospatial ToolsApplications in Earth Observation /[electronic resource] :by Daniel McInerney, Pieter Kempeneers. - 1st ed. 2015. - XXVII, 358 p. 96 illus., 50 illus. in color.online resource. - Earth Systems Data and Models,2364-5830. - Earth Systems Data and Models,1.

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.

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.

ISBN: 9783319018249

Standard No.: 10.1007/978-3-319-01824-9doiSubjects--Topical Terms:

784466
Physical geography.

LC Class. No.: GB3-5030

Dewey Class. No.: 550

Open Source Geospatial Tools = Applications in Earth Observation /
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505 0 $a 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.
520 $a 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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