Raster Algebra mit Oracle Spatial und uDig
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Im Foliensatz ist die Integration von Oracle Spatial mit Open Source Technolgien beschrieben. Am Beispiel von uDig wird Schritt-für-Schritt aufgezeigt, wie es zusammen mit Oracle Spatial für die Rasterdatenanalyse eingesetzt werden hier. Beispielhaft wird ein Vegetationsindex (NVDI) berechnet. Bei Interesse gern auch weiterlesen auf dem Oracle Spatial Blog (http://oracle-spatial.blogspot.com).
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Raster Algebra mit Oracle Spatial und uDig
- 2. Oracle Spatial Technologies Integration with Open Source Tools Copyright © 2014 Oracle and/or its affiliates. All rights reserved. | Karin Patenge | karin.patenge@oracle.com Principal Sales Consultant Oracle Deutschland B.V. & Co. KG 23-OCT-2014 LocationTech Meeting Oct 23, 2014 in Hamburg, Germany LocationTech Meeting October 23, 2014 Hamburg, Germany
- 3. Safe Harbor Statement The preceding is intended to outline our general product direction. It is intended for information purposes only, and may not be incorporated into any contract. It is not a commitment to deliver any material, code, or functionality, and should not be relied upon in making purchasing decisions. The development, release, and timing of any features or functionality described for Oracle’s products remains at the sole discretion of Oracle. Copyright © 2014 Oracle and/or its affiliates. All rights reserved. | LocationTech Meeting Oct 23, 2014 in Hamburg, Germany 3
- 4. Copyright © 2014 Oracle and/or its affiliates. All rights reserved. | Agenda Why Open Source? Libraries, Desktop GIS, Web Mapping, Data Oracle Spatial and Graph at a Glance Geospatial Applications with uDIG and Oracle Spatial Useful Material and Links 1 2 3 4 LocationTech Meeting Oct 23, 2014 in Hamburg, Germany 4 5
- 5. Copyright © 2014 Oracle and/or its affiliates. All rights reserved. | Agenda Why Open Source? Libraries, Desktop GIS, Web Mapping, Data Oracle Spatial and Graph at a Glance Geospatial Applications with uDig and Oracle Spatial Useful Material and Links 1 2 3 4 LocationTech Meeting Oct 23, 2014 in Hamburg, Germany 5 5
- 6. Copyright © 2014 Oracle and/or its affiliates. All rights reserved. | Open Source and Oracle • Oracle is involved in a large number of Open Source activities – developing, testing, optimizing software and contributing code – investing in MySQL, Glassfish, Linux, Apache, BerkeleyDB, InnoDB, Xen and many more • It is common to see projects that combine Open Source and Oracle tools – Oracle infrastructure (database, middleware) – Commercial GIS tools for data editing and analysis – Open Source GIS tools for web mapping and web services LocationTech Meeting Oct 23, 2014 in Hamburg, Germany 11
- 7. Geo Open Source Organizations Copyright © 2014 Oracle and/or its affiliates. All rights reserved. | • OSGeo – Open Source Geospatial Foundation – Supports the major projects • Free and Open Source Software for Geospatial (FOSS4G) conferences – Attracts significant crowds • Oracle contribution to Geo Open Source projects – E.g. Ivan Lucena (Developer Oracle Spatial Team): Contributor to • GDAL GeoRaster driver and • uDig Integration with GeoRaster LocationTech Meeting Oct 23, 2014 in Hamburg, Germany 12
- 8. Copyright © 2014 Oracle and/or its affiliates. All rights reserved. | Agenda Why Open Source? Libraries, Desktop GIS, Web Mapping, Data Oracle Spatial and Graph at a Glance Geospatial Applications with uDig and Oracle Spatial Useful Material and Links 1 2 3 4 LocationTech Meeting Oct 23, 2014 in Hamburg, Germany 13 5
- 9. * Superseded by LAStools (Martin Isenburg) as of 2014 Copyright © 2014 Oracle and/or its affiliates. All rights reserved. | APIs and Libraries Name URL Technology Oracle Vector ? SDO_GEOMETRY Oracle Raster ? SDO_GEORASTER Point Clouds SDO_PC GDAL/OGR http://www.gdal.org/ C/C++ Yes Yes GeoTools http://www.geotools.org/ Java Yes Yes FDO http://fdo.osgeo.org/ C/C++ Yes No libLAS http://www.liblas.org/ * C/C++ Yes LAStools http://www.cs.unc.edu/~isenburg/l astools/ C/C++ PDAL http://www.pointcloud.org/ C/C++ JTS http://www.vividsolutions.com/jts/ Java N/Ap N/Ap OpenLayers http://openlayers.org/ Javascript LocationTech Meeting Oct 23, 2014 in Hamburg, Germany 14
- 10. Copyright © 2014 Oracle and/or its affiliates. All rights reserved. | Desktop Tools Name URL Technology Oracle Vector ? SDO_GEOMETRY Oracle Raster ? SDO_GEORASTER Grass http://grass.osgeo.org/ C/C++ Yes ? Quantum GIS (QGIS) http://www.qgis.org/ C/C++ Yes Yes gvSIG http://www.gvsig.org/ Java Yes No Kosmo http://www.opengis.es/ Java Yes No uDig http://udig.refractions.net/ Java Yes Yes OpenJump http://www.openjump.org/ Java No No MapWindows http://www.mapwindow.org/ C#/.NET Yes No LocationTech Meeting Oct 23, 2014 in Hamburg, Germany 23
- 11. Copyright © 2014 Oracle and/or its affiliates. All rights reserved. | Web Mapping Services URL Technology Oracle Vector ? SDO_GEOMETRY Oracle Raster ? SDO_GEORASTER Mapserver http://mapserver.org/ C/C++ Yes Yes MapGuide http://mapguide.osgeo.org/ Yes No GeoServer http://geoserver.org/ Java Yes Yes Deegree http://www.deegree.org/ Java Yes Yes LocationTech Meeting Oct 23, 2014 in Hamburg, Germany 31
- 12. Copyright © 2014 Oracle and/or its affiliates. All rights reserved. | Data 36 • Open Data Initiatives • „Crowd“ Sourced – OpenStreetMap http://www.openstreetmap.org/ – OpenSeaMap http://openseamap.org/ • State-Collected Spatial Data • Recommended Standards – GML, WMS, WFS-T – Dublin Core, RDF, ISO19115 through ISO19139 (for metadata) LocationTech Meeting Oct 23, 2014 in Hamburg, Germany
- 13. Copyright © 2014 Oracle and/or its affiliates. All rights reserved. | Agenda Why Open Source? Libraries, Desktop GIS, Web Mapping, Data Oracle Spatial and Graph at a Glance Geospatial Applications with uDig and Oracle Spatial Useful Material and Links 1 2 3 4 LocationTech Meeting Oct 23, 2014 in Hamburg, Germany 37 5
- 14. Brief Intro: Oracle Spatial and Graph (DB EE Option) Vector Performance Accelerator Copyright © 2014 Oracle and/or its affiliates. All rights reserved. | 38 In-Database Datatypes, Models, Processing, Analysis and Mining Routing Geocoding Geo Web Services Vector Data (3D, 4D) Spatial and Graph Vector Data (2D) Spatial Indexing (R-Tree) Coordinate System Transformations Spatial Queries Locator Georaster, Raster Algebra Point Clouds, TINs Topologies & Network Data Model Semantic Networks, Ontologies, SPARQL, GeoSPARQL Advanced Spatial Analysis and Mining LocationTech Meeting Oct 23, 2014 in Hamburg, Germany
- 15. Rasterdata Management and Analysis with Oracle Spatial Copyright © 2014 Oracle and/or its affiliates. All rights reserved. | • A data type to store raster data – Satellite images, remote sensing data, digital elevation models – Multi-band, multi-spectral – An XML schema to store Metadata • Data source, layer information – Geo Referencing information • Functionality – Storage and indexing of raster data • No size limit for each raster object – Generate resolution pyramid – Query and analysis • Used e.g. http://geoproxy.de 39 SDO_GEORASTER LocationTech Meeting Oct 23, 2014 in Hamburg, Germany
- 16. New in Oracle Database 12c for Georaster • Server-side raster algebra operations • Work on individual raster cells, or pixels to… – Generate new raster layer (map) from two or more raster Copyright © 2014 Oracle and/or its affiliates. All rights reserved. | layers • Application example – Combine two or more hazard maps to produce a risk map 40 In-Database Raster Algebra LocationTech Meeting Oct 23, 2014 in Hamburg, Germany
- 17. Copyright © 2014 Oracle and/or its affiliates. All rights reserved. | Agenda Why Open Source? Libraries, Desktop GIS, Web Mapping, Data Oracle Spatial and Graph at a Glance Geospatial Applications with uDig and Oracle Spatial Useful Material and Links 1 2 3 4 LocationTech Meeting Oct 23, 2014 in Hamburg, Germany 41 5
- 18. Source:Technical Workshop given by Ivan Lucena (Oracle) and Jody Garnett (Boundless) at Location Intelligence Summit 2014 – http://www.locationintelligence.net/dc/workshops/ – http://www.oracle.com/technetwork/database/options/spatialandgr aph/community/sagsummit-2014-2196705.html Copyright © 2014 Oracle and/or its affiliates. All rights reserved. | LocationTech Meeting Oct 23, 2014 in Hamburg, Germany 42
- 19. Copyright © 2014 Oracle and/or its affiliates. All rights reserved. | Use Prebuilt Hands-On Workshop • Virtual Maschine available for Virtual Box 4.3 available via: – http://www.oracle.com/technetwork/d atabase/options/spatialandgraph/com munity/sagsummit-2014- 2196705.html#GeospatialApplications – Additional Material to be downloaded and unzipped • See Instructions • http://www.locationintelligence.net/temp/2 014/Workshop6Material.zip First Steps – Start VirtualBox – Select the virtual machine – Click the green arrow icon – The machine starts –Wait for the login prompt – Select Workshop 6 – The password is workshop – Change Keyboard Preferences to use German Layout 43 Hands-On Oracle Spatial and uDig for Rasterdata LocationTech Meeting Oct 23, 2014 in Hamburg, Germany
- 20. Learning objective: Raster Data Workflow using Oracle Spatial and uDig Copyright © 2014 Oracle and/or its affiliates. All rights reserved. | • Expected Final Product: – NDVI (Normalized Differenced Vegetation Index) Map • Data – Exploring Napa Valley Wine Country Data • Steps 1. Load spatial data into database 2. Validate and visualize data 3. Perform server-side (in-database) raster operations 4. Perform server-side (in-database) map algebra 5. Generate vegetation index map 6. Map composition LocationTech Meeting Oct 23, 2014 in Hamburg, Germany 44
- 21. Step 1: Load Spatial Data into Oracle Database • Use GDAL – 1 Landsat image – 1 Elevation grid – 7 Vector layers • GDAL is shipped with Oracle Database 12c Copyright © 2014 Oracle and/or its affiliates. All rights reserved. | LocationTech Meeting Oct 23, 2014 in Hamburg, Germany 45
- 22. Copyright © 2014 Oracle and/or its affiliates. All rights reserved. | Load Landsat Image 1. On VM desktop, double-click workshop’s Home 2. On window Workshop, double-click Data 3. On window Data, double-click Landsat 4. On window Landsat, double-click loadit.sh 5. Select Run in Terminal 46 Step 1 continued LocationTech Meeting Oct 23, 2014 in Hamburg, Germany
- 23. Copyright © 2014 Oracle and/or its affiliates. All rights reserved. | Load Elevation Grid 1. On VM desktop, double-click workshop’s Home 2. On window Workshop, double-click Data 3. On window Data, double-click Napa GIS Elevation 4. On window Napa GIS Elevation, double-click loadit.sh 5. Select Run in Terminal 49 Step 1 continued LocationTech Meeting Oct 23, 2014 in Hamburg, Germany
- 24. Copyright © 2014 Oracle and/or its affiliates. All rights reserved. | Load Vector Layers 1. On VM desktop, double-click workshop’s Home 2. On window Workshop, double-click Data 3. On window Data, double-click Napa GIS Shapefiles 4. On window Napa GIS Shapefiles, double-click loadall.sh 5. Select Run in Terminal 50 Step 1 continued LocationTech Meeting Oct 23, 2014 in Hamburg, Germany
- 25. Step 2: Validate and Visualize Spatial Data • Use GeoRasterViewer and uDig • GeoRasterViewer is normally shipped with Oracle Database Examples – $ORACLE_HOME/md/demo/georaster/java/startGeoRasterViewer.sh • Visualize vector data with Oracle SQL Developer – Shipped with Oracle Database Copyright © 2014 Oracle and/or its affiliates. All rights reserved. | LocationTech Meeting Oct 23, 2014 in Hamburg, Germany 51
- 26. Copyright © 2014 Oracle and/or its affiliates. All rights reserved. | Connect to Oracle Database 1. On the VM desktop, double-click GeoRasterView 2. From the menu, select Rasters and then Retrieve from DB 3. Enter database connection information: Host name localhost Port number 1521 Database name ora12c User name student Password student 4. Click on OK 52 Step 2 continued using GeoRasterViewer LocationTech Meeting Oct 23, 2014 in Hamburg, Germany
- 27. Copyright © 2014 Oracle and/or its affiliates. All rights reserved. | Launch Landsat Image 1. Double-click USER: student 2. Double-click SCHEMA: student 3. Double-click TABLE: napa_landsat 4. Double-click COLUMN: image 5. Click on RDT: NAPA_LANDSAT_RDT$ 6. With cursor over image: − Right-click to zoom out − Left-click to zoom in 7. Click tab Metadata tab to inspect the the GeoRaster metadata 53 Step 2 continued using GeoRasterViewer LocationTech Meeting Oct 23, 2014 in Hamburg, Germany
- 28. Copyright © 2014 Oracle and/or its affiliates. All rights reserved. | Launch Elevation Grid 1. Double-click USER: student 2. Double-click SCHEMA: student 3. Double-click TABLE: napa_elevation 4. Double-click COLUMN: image 5. Click on RDT: NAPA_ELEVATION_RDT$ 6. With cursor over image: − Right-click to zoom out − Left-click to zoom in 7. Click tab Metadata tab to inspect the the GeoRaster metadata 54 Step 2 continued using GeoRasterViewer LocationTech Meeting Oct 23, 2014 in Hamburg, Germany
- 29. Copyright © 2014 Oracle and/or its affiliates. All rights reserved. | Change Layer Mapping 1. From the menu View select: − Show user ID − Show cell value − Show layer mapping 2. On the panel at the bottom right select a layer for Red, Green and Blue 3. Click on Refresh 55 Step 2 continued using GeoRasterViewer LocationTech Meeting Oct 23, 2014 in Hamburg, Germany
- 30. Copyright © 2014 Oracle and/or its affiliates. All rights reserved. | Connect to Oracle Database 1. On the VM desktop, double-click on uDig - User-friendly Desktop GIS 2. On uDig menu, select Layer, select Add 3. On Add Data wizard, page Data Sources, select Oracle Spatial 4. Click on Next > and enter: Host name localhost Port number 1521 User name student Password student Database name ora12c Instance student 5. Click on Connect 6. Click on Next > 56 Step 2 continued using uDig LocationTech Meeting Oct 23, 2014 in Hamburg, Germany
- 31. Copyright © 2014 Oracle and/or its affiliates. All rights reserved. | Select Oracle Spatial Layer 1. Select NAPA_FIELDS 2. Click on Finish 57 Step 2 continued using uDig LocationTech Meeting Oct 23, 2014 in Hamburg, Germany
- 32. Copyright © 2014 Oracle and/or its affiliates. All rights reserved. | Select Features based on Query 1. Click on tab Table 2. Enter a Query, ex.: COPPOLA and press Enter 3. Right-click on the selected row and select Show Selection to automatically zoom to the selected feature 58 Step 2 continued using uDig LocationTech Meeting Oct 23, 2014 in Hamburg, Germany
- 33. Step 3: Perform in-database raster operations Copyright © 2014 Oracle and/or its affiliates. All rights reserved. | • Performed operations – Creating tables • Data Type SDO_GEORASTER pointing to raster data table (RDT) with SDO_RASTER – Subsetting raster • Using SDO_GEOR.SUBSET with parameter polygonClip = FALSE ( MBR) • Performs one or both of the following operations: (1) spatial crop, cut or clip or (2) layer or band subset or duplicate – RGB composition • Using SDO_GEOR.SUBSET using parameter layerNumbers – Clipping by geometry • Using SDO_GEOR.SUBSET with parameter polygonClip = TRUE LocationTech Meeting Oct 23, 2014 in Hamburg, Germany 59
- 34. Copyright © 2014 Oracle and/or its affiliates. All rights reserved. | Create Georaster Tables 1. Open workshop’s Home 2. Open Scripts 3. Open lab-02.sh 4. Select Run in Terminal 60 Step 3 continued Documentation: http://docs.oracle.com/database/121/GEORS/ geor_operations.htm#GEORS986 LocationTech Meeting Oct 23, 2014 in Hamburg, Germany
- 35. Copyright © 2014 Oracle and/or its affiliates. All rights reserved. | Subset Georaster 1. Open workshop’s Home 2. Open Scripts 3. Open lab-01.sh 4. Select Run in Terminal 61 Step 3 continued Documentation: http://docs.oracle.com/database/121/GEORS/ geor_ref.htm#GEORS1139 LocationTech Meeting Oct 23, 2014 in Hamburg, Germany
- 36. Copyright © 2014 Oracle and/or its affiliates. All rights reserved. | Create RGB Composition 1. Open workshop’s Home 2. Open Scripts 3. Open lab-03.sh 4. Select Run in Terminal 62 Step 3 continued Documentation: http://docs.oracle.com/database/121/GEORS/ geor_ref.htm#GEORS1139 LocationTech Meeting Oct 23, 2014 in Hamburg, Germany
- 37. Copyright © 2014 Oracle and/or its affiliates. All rights reserved. | Clip Polygon 1. Open workshop’s Home 2. Open Scripts 3. Open lab-04.sh 4. Select Run in Terminal 63 Step 3 continued Documentation: http://docs.oracle.com/database/121/GEORS/ geor_ref.htm#GEORS1139 LocationTech Meeting Oct 23, 2014 in Hamburg, Germany
- 38. Step 4: Perform Raster Analysis • New PL/SQL Package in 12c: SDO_GEOR_RA • Performed operations – Elevation grid Copyright © 2014 Oracle and/or its affiliates. All rights reserved. | • Calculate statistics – Using SDO_GEOR.GENERATESTATISTICS • Classify raster – Using SDO_GEOR_RA.CLASSIFY • Apply a color-map – Using SDO_GEOR.SETCOLORMAP 64 – Landsat • Raster Algebra e.g. NDVI (Normalized Differential Vegetation Index) − Using SDO_GEOR_RA.RASTERMATHOP LocationTech Meeting Oct 23, 2014 in Hamburg, Germany
- 39. Copyright © 2014 Oracle and/or its affiliates. All rights reserved. | Calculate Statistics 1. Open workshop’s Home 2. Open Scripts 3. Open lab-05.sh 4. Select Run in Terminal 65 Step 4 continued Documentation: http://docs.oracle.com/database/121/GEORS/ geor_ref.htm#GEORS1035 LocationTech Meeting Oct 23, 2014 in Hamburg, Germany
- 40. Copyright © 2014 Oracle and/or its affiliates. All rights reserved. | Classify Georaster 1. Open workshop’s Home 2. Open Scripts 3. Open lab-06.sh 4. Select Run in Terminal 66 Step 4 continued Documentation: http://docs.oracle.com/database/121/GEORS/ geor_ra_ref.htm#GEORS1227 LocationTech Meeting Oct 23, 2014 in Hamburg, Germany
- 41. Copyright © 2014 Oracle and/or its affiliates. All rights reserved. | Apply Color-Map 1. Open workshop’s Home 2. Open Scripts 3. Open lab-07.sh 4. Select Run in Terminal 67 Step 4 continued Documentation: http://docs.oracle.com/database/121/GEORS/ geor_ref.htm#GEORS1051 LocationTech Meeting Oct 23, 2014 in Hamburg, Germany
- 42. Copyright © 2014 Oracle and/or its affiliates. All rights reserved. | Calculate NDVI 1. Open workshop’s Home 2. Open Scripts 3. Open lab-08.sh 4. Select Run in Terminal 68 Step 4 continued Documentation: http://docs.oracle.com/database/121/GEORS/ geor_ra_ref.htm#GEORS1296 LocationTech Meeting Oct 23, 2014 in Hamburg, Germany
- 43. Copyright © 2014 Oracle and/or its affiliates. All rights reserved. | Apply Color-Map to NVDI 1. Open workshop’s Home 2. Open Scripts 3. Open lab-09.sh 4. Select Run in Terminal 69 Step 4 continued Documentation: http://docs.oracle.com/database/121/GEORS/ geor_ref.htm#GEORS1051 LocationTech Meeting Oct 23, 2014 in Hamburg, Germany
- 44. Copyright © 2014 Oracle and/or its affiliates. All rights reserved. | 70
- 45. Copyright © 2014 Oracle and/or its affiliates. All rights reserved. | Agenda Why Open Source? Libraries, Desktop GIS, Web Mapping, Data Oracle Spatial and Graph at a Glance Geospatial Applications with uDig and Oracle Spatial Useful Material and Links 1 2 3 4 LocationTech Meeting Oct 23, 2014 in Hamburg, Germany 71 5
- 46. Copyright © 2014 Oracle and/or its affiliates. All rights reserved. | Useful Links • Materials for Workshop „Developling Geospatial Applications with uDig and Oracle Spatial“ including prebuilt VM for Virtual Box – http://www.oracle.com/technetwork/database/options/spatialandgraph/community/ sagsummit-2014-2196705.html • Oracle Spatial and Graph Online Documentation on OTN (12c) – http://docs.oracle.com/database/121/nav/portal_7.htm • Oracle Spatial Technologies on OTN – http://www.oracle.com/technetwork/database/options/spatialandgraph – http://www.oracle.com/technetwork/middleware/mapviewer LocationTech Meeting Oct 23, 2014 in Hamburg, Germany 72
- 47. Copyright © 2014 Oracle and/or its affiliates. All rights reserved. | Social Media, Communities • Blogs – http://oracle-spatial.blogspot.com/, http://oracle-maps.blogspot.com (DE) – https://blogs.oracle.com/oraclespatial/, https://blogs.oracle.com/oracle_maps_blog/ • Twitter – @kpatenge @cczarski • LinkedIn – https://www.linkedin.com/groups/Oracle-Spatial-Graph-1848520?gid=1848520 • Forums – https://community.oracle.com/community/database/oracle-database-options/spatial – https://community.oracle.com/community/fusion_middleware/application_server/mapviewe r LocationTech Meeting Oct 23, 2014 in Hamburg, Germany 73
- 48. Copyright © 2014 Oracle and/or its affiliates. All rights reserved. | Events • Save the Date! – Oracle Spatial Summit 2015 (Januar y 25-27, 2015, Oracle HQ, Redwood Shores, CA) • http://www.oracle.com/technetwork/database/options/spatialandgraph/learnmore/spatial-events- 495802.html • Past Conference Sessions and Presentations – http://www.oracle.com/technetwork/database/options/spatialandgraph/learnmore/s patial-presentation-idx-086691.html LocationTech Meeting Oct 23, 2014 in Hamburg, Germany 74
- 49. Copyright © 2014 Oracle and/or its affiliates. All rights reserved. | karin.patenge@oracle.com http://oracle-spatial.blogspot.com/ Twitter: @kpatenge LocationTech Meeting Oct 23, 2014 in Hamburg, Germany
- 50. Copyright © 2014 Oracle and/or its affiliates. All rights reserved. | LocationTech Meeting Oct 23, 2014 in Hamburg, Germany 76
Editor's Notes
- Geospatial Data Abstraction Library http://de.wikipedia.org/wiki/Geospatial_Data_Abstraction_Library http://www.osgeo.org/gdal_ogr Geospatial Data Abstraction Library (GDAL/OGR) is a cross platform C++ translator library for raster and vector geospatial data formats that is released under an X/MIT style Open Source license by the Open Source Geospatial Foundation. As a library, it presents a single abstract data model to the calling application for all supported formats. It also comes with a variety of useful commandline utilities for data translation and processing. GDAL supports over 50 raster formats, and OGR over 20 vector formats. It provides the primary data access engine for many applications including MapServer, GRASS, QGIS, and OpenEV. It is also utilized by packages such as OSSIM, Cadcorp SIS, FME, Google Earth, VTP, Thuban, ILWIS, MapGuide and ArcGIS. GDAL/OGR is the most widely used geospatial data access library. Professional support options are available for commercial software developers desiring assistance integrating and extending GDAL, or dig in yourself and join the development team!
- Geospatial Data Abstraction Library http://de.wikipedia.org/wiki/Geospatial_Data_Abstraction_Library http://www.osgeo.org/gdal_ogr Geospatial Data Abstraction Library (GDAL/OGR) is a cross platform C++ translator library for raster and vector geospatial data formats that is released under an X/MIT style Open Source license by the Open Source Geospatial Foundation. As a library, it presents a single abstract data model to the calling application for all supported formats. It also comes with a variety of useful commandline utilities for data translation and processing. GDAL supports over 50 raster formats, and OGR over 20 vector formats. It provides the primary data access engine for many applications including MapServer, GRASS, QGIS, and OpenEV. It is also utilized by packages such as OSSIM, Cadcorp SIS, FME, Google Earth, VTP, Thuban, ILWIS, MapGuide and ArcGIS. GDAL/OGR is the most widely used geospatial data access library. Professional support options are available for commercial software developers desiring assistance integrating and extending GDAL, or dig in yourself and join the development team!
- Geospatial Data Abstraction Library http://de.wikipedia.org/wiki/Geospatial_Data_Abstraction_Library http://www.osgeo.org/gdal_ogr Geospatial Data Abstraction Library (GDAL/OGR) is a cross platform C++ translator library for raster and vector geospatial data formats that is released under an X/MIT style Open Source license by the Open Source Geospatial Foundation. As a library, it presents a single abstract data model to the calling application for all supported formats. It also comes with a variety of useful commandline utilities for data translation and processing. GDAL supports over 50 raster formats, and OGR over 20 vector formats. It provides the primary data access engine for many applications including MapServer, GRASS, QGIS, and OpenEV. It is also utilized by packages such as OSSIM, Cadcorp SIS, FME, Google Earth, VTP, Thuban, ILWIS, MapGuide and ArcGIS. GDAL/OGR is the most widely used geospatial data access library. Professional support options are available for commercial software developers desiring assistance integrating and extending GDAL, or dig in yourself and join the development team!
- Geospatial Data Abstraction Library http://de.wikipedia.org/wiki/Geospatial_Data_Abstraction_Library http://www.osgeo.org/gdal_ogr Geospatial Data Abstraction Library (GDAL/OGR) is a cross platform C++ translator library for raster and vector geospatial data formats that is released under an X/MIT style Open Source license by the Open Source Geospatial Foundation. As a library, it presents a single abstract data model to the calling application for all supported formats. It also comes with a variety of useful commandline utilities for data translation and processing. GDAL supports over 50 raster formats, and OGR over 20 vector formats. It provides the primary data access engine for many applications including MapServer, GRASS, QGIS, and OpenEV. It is also utilized by packages such as OSSIM, Cadcorp SIS, FME, Google Earth, VTP, Thuban, ILWIS, MapGuide and ArcGIS. GDAL/OGR is the most widely used geospatial data access library. Professional support options are available for commercial software developers desiring assistance integrating and extending GDAL, or dig in yourself and join the development team!
- Geospatial Data Abstraction Library http://de.wikipedia.org/wiki/Geospatial_Data_Abstraction_Library http://www.osgeo.org/gdal_ogr Geospatial Data Abstraction Library (GDAL/OGR) is a cross platform C++ translator library for raster and vector geospatial data formats that is released under an X/MIT style Open Source license by the Open Source Geospatial Foundation. As a library, it presents a single abstract data model to the calling application for all supported formats. It also comes with a variety of useful commandline utilities for data translation and processing. GDAL supports over 50 raster formats, and OGR over 20 vector formats. It provides the primary data access engine for many applications including MapServer, GRASS, QGIS, and OpenEV. It is also utilized by packages such as OSSIM, Cadcorp SIS, FME, Google Earth, VTP, Thuban, ILWIS, MapGuide and ArcGIS. GDAL/OGR is the most widely used geospatial data access library. Professional support options are available for commercial software developers desiring assistance integrating and extending GDAL, or dig in yourself and join the development team!
- Geospatial Data Abstraction Library http://de.wikipedia.org/wiki/Geospatial_Data_Abstraction_Library http://www.osgeo.org/gdal_ogr Geospatial Data Abstraction Library (GDAL/OGR) is a cross platform C++ translator library for raster and vector geospatial data formats that is released under an X/MIT style Open Source license by the Open Source Geospatial Foundation. As a library, it presents a single abstract data model to the calling application for all supported formats. It also comes with a variety of useful commandline utilities for data translation and processing. GDAL supports over 50 raster formats, and OGR over 20 vector formats. It provides the primary data access engine for many applications including MapServer, GRASS, QGIS, and OpenEV. It is also utilized by packages such as OSSIM, Cadcorp SIS, FME, Google Earth, VTP, Thuban, ILWIS, MapGuide and ArcGIS. GDAL/OGR is the most widely used geospatial data access library. Professional support options are available for commercial software developers desiring assistance integrating and extending GDAL, or dig in yourself and join the development team!
- Geospatial Data Abstraction Library http://de.wikipedia.org/wiki/Geospatial_Data_Abstraction_Library http://www.osgeo.org/gdal_ogr Geospatial Data Abstraction Library (GDAL/OGR) is a cross platform C++ translator library for raster and vector geospatial data formats that is released under an X/MIT style Open Source license by the Open Source Geospatial Foundation. As a library, it presents a single abstract data model to the calling application for all supported formats. It also comes with a variety of useful commandline utilities for data translation and processing. GDAL supports over 50 raster formats, and OGR over 20 vector formats. It provides the primary data access engine for many applications including MapServer, GRASS, QGIS, and OpenEV. It is also utilized by packages such as OSSIM, Cadcorp SIS, FME, Google Earth, VTP, Thuban, ILWIS, MapGuide and ArcGIS. GDAL/OGR is the most widely used geospatial data access library. Professional support options are available for commercial software developers desiring assistance integrating and extending GDAL, or dig in yourself and join the development team!
- Geospatial Data Abstraction Library http://de.wikipedia.org/wiki/Geospatial_Data_Abstraction_Library http://www.osgeo.org/gdal_ogr Geospatial Data Abstraction Library (GDAL/OGR) is a cross platform C++ translator library for raster and vector geospatial data formats that is released under an X/MIT style Open Source license by the Open Source Geospatial Foundation. As a library, it presents a single abstract data model to the calling application for all supported formats. It also comes with a variety of useful commandline utilities for data translation and processing. GDAL supports over 50 raster formats, and OGR over 20 vector formats. It provides the primary data access engine for many applications including MapServer, GRASS, QGIS, and OpenEV. It is also utilized by packages such as OSSIM, Cadcorp SIS, FME, Google Earth, VTP, Thuban, ILWIS, MapGuide and ArcGIS. GDAL/OGR is the most widely used geospatial data access library. Professional support options are available for commercial software developers desiring assistance integrating and extending GDAL, or dig in yourself and join the development team!
- Geospatial Data Abstraction Library http://de.wikipedia.org/wiki/Geospatial_Data_Abstraction_Library http://www.osgeo.org/gdal_ogr Geospatial Data Abstraction Library (GDAL/OGR) is a cross platform C++ translator library for raster and vector geospatial data formats that is released under an X/MIT style Open Source license by the Open Source Geospatial Foundation. As a library, it presents a single abstract data model to the calling application for all supported formats. It also comes with a variety of useful commandline utilities for data translation and processing. GDAL supports over 50 raster formats, and OGR over 20 vector formats. It provides the primary data access engine for many applications including MapServer, GRASS, QGIS, and OpenEV. It is also utilized by packages such as OSSIM, Cadcorp SIS, FME, Google Earth, VTP, Thuban, ILWIS, MapGuide and ArcGIS. GDAL/OGR is the most widely used geospatial data access library. Professional support options are available for commercial software developers desiring assistance integrating and extending GDAL, or dig in yourself and join the development team!
- Geospatial Data Abstraction Library http://de.wikipedia.org/wiki/Geospatial_Data_Abstraction_Library http://www.osgeo.org/gdal_ogr Geospatial Data Abstraction Library (GDAL/OGR) is a cross platform C++ translator library for raster and vector geospatial data formats that is released under an X/MIT style Open Source license by the Open Source Geospatial Foundation. As a library, it presents a single abstract data model to the calling application for all supported formats. It also comes with a variety of useful commandline utilities for data translation and processing. GDAL supports over 50 raster formats, and OGR over 20 vector formats. It provides the primary data access engine for many applications including MapServer, GRASS, QGIS, and OpenEV. It is also utilized by packages such as OSSIM, Cadcorp SIS, FME, Google Earth, VTP, Thuban, ILWIS, MapGuide and ArcGIS. GDAL/OGR is the most widely used geospatial data access library. Professional support options are available for commercial software developers desiring assistance integrating and extending GDAL, or dig in yourself and join the development team!
- Geospatial Data Abstraction Library http://de.wikipedia.org/wiki/Geospatial_Data_Abstraction_Library http://www.osgeo.org/gdal_ogr Geospatial Data Abstraction Library (GDAL/OGR) is a cross platform C++ translator library for raster and vector geospatial data formats that is released under an X/MIT style Open Source license by the Open Source Geospatial Foundation. As a library, it presents a single abstract data model to the calling application for all supported formats. It also comes with a variety of useful commandline utilities for data translation and processing. GDAL supports over 50 raster formats, and OGR over 20 vector formats. It provides the primary data access engine for many applications including MapServer, GRASS, QGIS, and OpenEV. It is also utilized by packages such as OSSIM, Cadcorp SIS, FME, Google Earth, VTP, Thuban, ILWIS, MapGuide and ArcGIS. GDAL/OGR is the most widely used geospatial data access library. Professional support options are available for commercial software developers desiring assistance integrating and extending GDAL, or dig in yourself and join the development team!
- Geospatial Data Abstraction Library http://de.wikipedia.org/wiki/Geospatial_Data_Abstraction_Library http://www.osgeo.org/gdal_ogr Geospatial Data Abstraction Library (GDAL/OGR) is a cross platform C++ translator library for raster and vector geospatial data formats that is released under an X/MIT style Open Source license by the Open Source Geospatial Foundation. As a library, it presents a single abstract data model to the calling application for all supported formats. It also comes with a variety of useful commandline utilities for data translation and processing. GDAL supports over 50 raster formats, and OGR over 20 vector formats. It provides the primary data access engine for many applications including MapServer, GRASS, QGIS, and OpenEV. It is also utilized by packages such as OSSIM, Cadcorp SIS, FME, Google Earth, VTP, Thuban, ILWIS, MapGuide and ArcGIS. GDAL/OGR is the most widely used geospatial data access library. Professional support options are available for commercial software developers desiring assistance integrating and extending GDAL, or dig in yourself and join the development team!
- Geospatial Data Abstraction Library http://de.wikipedia.org/wiki/Geospatial_Data_Abstraction_Library http://www.osgeo.org/gdal_ogr Geospatial Data Abstraction Library (GDAL/OGR) is a cross platform C++ translator library for raster and vector geospatial data formats that is released under an X/MIT style Open Source license by the Open Source Geospatial Foundation. As a library, it presents a single abstract data model to the calling application for all supported formats. It also comes with a variety of useful commandline utilities for data translation and processing. GDAL supports over 50 raster formats, and OGR over 20 vector formats. It provides the primary data access engine for many applications including MapServer, GRASS, QGIS, and OpenEV. It is also utilized by packages such as OSSIM, Cadcorp SIS, FME, Google Earth, VTP, Thuban, ILWIS, MapGuide and ArcGIS. GDAL/OGR is the most widely used geospatial data access library. Professional support options are available for commercial software developers desiring assistance integrating and extending GDAL, or dig in yourself and join the development team!
- Geospatial Data Abstraction Library http://de.wikipedia.org/wiki/Geospatial_Data_Abstraction_Library http://www.osgeo.org/gdal_ogr Geospatial Data Abstraction Library (GDAL/OGR) is a cross platform C++ translator library for raster and vector geospatial data formats that is released under an X/MIT style Open Source license by the Open Source Geospatial Foundation. As a library, it presents a single abstract data model to the calling application for all supported formats. It also comes with a variety of useful commandline utilities for data translation and processing. GDAL supports over 50 raster formats, and OGR over 20 vector formats. It provides the primary data access engine for many applications including MapServer, GRASS, QGIS, and OpenEV. It is also utilized by packages such as OSSIM, Cadcorp SIS, FME, Google Earth, VTP, Thuban, ILWIS, MapGuide and ArcGIS. GDAL/OGR is the most widely used geospatial data access library. Professional support options are available for commercial software developers desiring assistance integrating and extending GDAL, or dig in yourself and join the development team!
- Geospatial Data Abstraction Library http://de.wikipedia.org/wiki/Geospatial_Data_Abstraction_Library http://www.osgeo.org/gdal_ogr Geospatial Data Abstraction Library (GDAL/OGR) is a cross platform C++ translator library for raster and vector geospatial data formats that is released under an X/MIT style Open Source license by the Open Source Geospatial Foundation. As a library, it presents a single abstract data model to the calling application for all supported formats. It also comes with a variety of useful commandline utilities for data translation and processing. GDAL supports over 50 raster formats, and OGR over 20 vector formats. It provides the primary data access engine for many applications including MapServer, GRASS, QGIS, and OpenEV. It is also utilized by packages such as OSSIM, Cadcorp SIS, FME, Google Earth, VTP, Thuban, ILWIS, MapGuide and ArcGIS. GDAL/OGR is the most widely used geospatial data access library. Professional support options are available for commercial software developers desiring assistance integrating and extending GDAL, or dig in yourself and join the development team!
- Geospatial Data Abstraction Library http://de.wikipedia.org/wiki/Geospatial_Data_Abstraction_Library http://www.osgeo.org/gdal_ogr Geospatial Data Abstraction Library (GDAL/OGR) is a cross platform C++ translator library for raster and vector geospatial data formats that is released under an X/MIT style Open Source license by the Open Source Geospatial Foundation. As a library, it presents a single abstract data model to the calling application for all supported formats. It also comes with a variety of useful commandline utilities for data translation and processing. GDAL supports over 50 raster formats, and OGR over 20 vector formats. It provides the primary data access engine for many applications including MapServer, GRASS, QGIS, and OpenEV. It is also utilized by packages such as OSSIM, Cadcorp SIS, FME, Google Earth, VTP, Thuban, ILWIS, MapGuide and ArcGIS. GDAL/OGR is the most widely used geospatial data access library. Professional support options are available for commercial software developers desiring assistance integrating and extending GDAL, or dig in yourself and join the development team!
- Geospatial Data Abstraction Library http://de.wikipedia.org/wiki/Geospatial_Data_Abstraction_Library http://www.osgeo.org/gdal_ogr Geospatial Data Abstraction Library (GDAL/OGR) is a cross platform C++ translator library for raster and vector geospatial data formats that is released under an X/MIT style Open Source license by the Open Source Geospatial Foundation. As a library, it presents a single abstract data model to the calling application for all supported formats. It also comes with a variety of useful commandline utilities for data translation and processing. GDAL supports over 50 raster formats, and OGR over 20 vector formats. It provides the primary data access engine for many applications including MapServer, GRASS, QGIS, and OpenEV. It is also utilized by packages such as OSSIM, Cadcorp SIS, FME, Google Earth, VTP, Thuban, ILWIS, MapGuide and ArcGIS. GDAL/OGR is the most widely used geospatial data access library. Professional support options are available for commercial software developers desiring assistance integrating and extending GDAL, or dig in yourself and join the development team!
- Geospatial Data Abstraction Library http://de.wikipedia.org/wiki/Geospatial_Data_Abstraction_Library http://www.osgeo.org/gdal_ogr Geospatial Data Abstraction Library (GDAL/OGR) is a cross platform C++ translator library for raster and vector geospatial data formats that is released under an X/MIT style Open Source license by the Open Source Geospatial Foundation. As a library, it presents a single abstract data model to the calling application for all supported formats. It also comes with a variety of useful commandline utilities for data translation and processing. GDAL supports over 50 raster formats, and OGR over 20 vector formats. It provides the primary data access engine for many applications including MapServer, GRASS, QGIS, and OpenEV. It is also utilized by packages such as OSSIM, Cadcorp SIS, FME, Google Earth, VTP, Thuban, ILWIS, MapGuide and ArcGIS. GDAL/OGR is the most widely used geospatial data access library. Professional support options are available for commercial software developers desiring assistance integrating and extending GDAL, or dig in yourself and join the development team!
- Geospatial Data Abstraction Library http://de.wikipedia.org/wiki/Geospatial_Data_Abstraction_Library http://www.osgeo.org/gdal_ogr Geospatial Data Abstraction Library (GDAL/OGR) is a cross platform C++ translator library for raster and vector geospatial data formats that is released under an X/MIT style Open Source license by the Open Source Geospatial Foundation. As a library, it presents a single abstract data model to the calling application for all supported formats. It also comes with a variety of useful commandline utilities for data translation and processing. GDAL supports over 50 raster formats, and OGR over 20 vector formats. It provides the primary data access engine for many applications including MapServer, GRASS, QGIS, and OpenEV. It is also utilized by packages such as OSSIM, Cadcorp SIS, FME, Google Earth, VTP, Thuban, ILWIS, MapGuide and ArcGIS. GDAL/OGR is the most widely used geospatial data access library. Professional support options are available for commercial software developers desiring assistance integrating and extending GDAL, or dig in yourself and join the development team!
- Geospatial Data Abstraction Library http://de.wikipedia.org/wiki/Geospatial_Data_Abstraction_Library http://www.osgeo.org/gdal_ogr Geospatial Data Abstraction Library (GDAL/OGR) is a cross platform C++ translator library for raster and vector geospatial data formats that is released under an X/MIT style Open Source license by the Open Source Geospatial Foundation. As a library, it presents a single abstract data model to the calling application for all supported formats. It also comes with a variety of useful commandline utilities for data translation and processing. GDAL supports over 50 raster formats, and OGR over 20 vector formats. It provides the primary data access engine for many applications including MapServer, GRASS, QGIS, and OpenEV. It is also utilized by packages such as OSSIM, Cadcorp SIS, FME, Google Earth, VTP, Thuban, ILWIS, MapGuide and ArcGIS. GDAL/OGR is the most widely used geospatial data access library. Professional support options are available for commercial software developers desiring assistance integrating and extending GDAL, or dig in yourself and join the development team!
- NDVI = Normalized Differenced Vegetation Index NDVI ist ein Akronym und steht für „Normalized Differenced Vegetation Index“ (auch Normalized Density Vegetation Index), zu deutsch: „normalisierter differenzierter Vegetationsindex“. Er ist der wohl am häufigsten angewandte Vegetationsindex und wird auf der Basis von Satellitendaten errechnet. [Quelle: http://de.wikipedia.org/wiki/Normalized_Differenced_Vegetation_Index] Engl. Akronym für Normalized Difference (auch: Density) Vegetation Index, dt. Normalisierter Differenzierter Vegetationsindex, oder Normierter Differentieller Vegetationsindex oder Normalisierter Differenzen-Vegetations-Index; aus Satellitendaten relativ leicht zu berechnende Messgrösse für die Biomasse. Satellitensensoren können quantifizierend angeben, welcher Teil der photosynthetisch relevanten Strahlung von der Vegetation absorbiert wird. In den späten siebziger Jahren des 20. Jh. wurde erkannt, dass die Netto-Photosynthese direkt abhängig ist von der Menge photosynthetisch aktiver Strahlung, die von Pflanzen absorbiert wird. Je mehr eine Pflanze während der Vegetationsperiode sichtbares Sonnenlicht absorbiert, umso intensiver ist die Photosynthese und umso produktiver ist sie. Wenn die Pflanze umgekehrt weniger Sonnenlicht absorbiert, ist die Photosyntheserate und damit das Wachstum geringer. Durch die Bildung von Indizes aus zwei oder mehr Kanälen kann die Visualisierung des Biomassegehaltes und des Zustandes der Vegetation stark verbessert werden. Ein solcher Index ist der NDVI. Er wird im Wesentlichen aus der Differenz der Messergebnisse der Kanäle 1 und 2 des Sensors AVHRR (Pixelgrößen um 1 km²) ermittelt, er wird aber auch für Multispektraldaten anderer Sensoren benutzt. [Quelle: http://www.fe-lexikon.info/lexikon-n.htm#ndvi] Vegetation erscheint sehr unterschiedlich in den Wellenlängenbereichen des sichtbaren Lichts und des Nahen Infrarots. Im Bereich des sichtbaren Lichts sind vegetations-bedeckte Flächen sehr dunkel, fast schwarz, wohingegen Wüstenregionen (z.B. die Sahara) hell erscheinen. Im Nahen Infrarot ist die Vegetation heller und Wüsten haben in etwa denselben Helligkeitgrad wie beim sichtbaren Licht. Durch den Vergleich von sichtbarem und infrarotem Licht messen Wissenschaftler die relative Vegetationsmasse. [Quelle: NASA Earth Observatory]
- GDAL : Geospatial Data Abstraction Library Command gdal_translate - copy data from one raster format to another Driver georaster - supports Oracle GeoRaster OGR is the part of GDAL library that supports vector data Command ogr2ogr - copy data from one vector format to another Driver oci - supports Oracle Geometry
- gdal_translate - copy data from one raster format to another
- gdal_translate - copy data from one raster format to another
- GDAL : Geospatial Data Abstraction Library Command gdal_translate - copy data from one raster format to another Driver georaster - supports Oracle GeoRaster OGR is the part of GDAL library that supports vector data Command ogr2ogr - copy data from one vector format to another Driver oci - supports Oracle Geometry
- GDAL : Geospatial Data Abstraction Library Command gdal_translate - copy data from one raster format to another Driver georaster - supports Oracle GeoRaster OGR is the part of GDAL library that supports vector data Command ogr2ogr - copy data from one vector format to another Driver oci - supports Oracle Geometry
- GDAL : Geospatial Data Abstraction Library Command gdal_translate - copy data from one raster format to another Driver georaster - supports Oracle GeoRaster OGR is the part of GDAL library that supports vector data Command ogr2ogr - copy data from one vector format to another Driver oci - supports Oracle Geometry
- GDAL : Geospatial Data Abstraction Library Command gdal_translate - copy data from one raster format to another Driver georaster - supports Oracle GeoRaster OGR is the part of GDAL library that supports vector data Command ogr2ogr - copy data from one vector format to another Driver oci - supports Oracle Geometry
- Parameter PolygonClip: The string TRUE causes the clipping window (cropArea geometry object) to be used for the subset operation; the string FALSE or a null value causes the MBR (minimum bounding rectangle) of the clipping window to be used for the subset operation.
- NIR and RED are the reflectance of the near-infrared and red bands in the particular case of Landsat images, it corresponds to bands 4 and 3.