國立虎尾科技大學 |

Open source geospatial tools = applications in earth observation /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Open source geospatial tools/ by Daniel McInerney, Pieter Kempeneers.
其他題名:	applications in earth observation /
作者:	McInerney, Daniel.
其他作者:	Kempeneers, Pieter.
出版者:	Cham :Springer International Publishing : : 2015.,
面頁冊數:	xxv, 358 p. :ill., digital ; : 24 cm.;
Contained By:	Springer eBooks
標題:	Geographic information systems. -
電子資源:	http://dx.doi.org/10.1007/978-3-319-01824-9
ISBN:	9783319018249 (electronic bk.)

Open source geospatial tools = applications in earth observation /
McInerney, Daniel.

Open source geospatial toolsapplications in earth observation /[electronic resource] :by Daniel McInerney, Pieter Kempeneers. - Cham :Springer International Publishing :2015. - xxv, 358 p. :ill., digital ;24 cm. - Earth systems data and models. - Earth systems data and models..

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 (electronic bk.)

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

554796
Geographic information systems.

LC Class. No.: G70.212

Dewey Class. No.: 910.285

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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