TY - BOOK AU - McInerney,Daniel AU - Kempeneers,Pieter ED - SpringerLink (Online service) TI - Open Source Geospatial Tools: Applications in Earth Observation T2 - Earth Systems Data and Models SN - 9783319018249 AV - GB3-5030 U1 - 550 23 PY - 2015/// CY - Cham PB - Springer International Publishing, Imprint: Springer KW - earth sciences KW - Physical geography KW - Computer programming KW - Image Processing KW - Geographical information systems KW - Remote sensing KW - Earth Sciences KW - Earth System Sciences KW - Remote Sensing/Photogrammetry KW - Geographical Information Systems/Cartography KW - Programming Techniques KW - Image Processing and Computer Vision KW - Environmental Monitoring/Analysis N1 - 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 N2 - 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 UR - http://dx.doi.org/10.1007/978-3-319-01824-9 ER -