3 Openstreetmap.org Crown copyright no expiration all government map data in England. Rest of Europe not much better Volunteer mapping effort. Bulk uploads of GPS data, vector data sets, online editing using potlatch tool.
4 Open Geospatial Consortium (OGC) Data Standards WMS Web Map Service WFS-T - Web Feature Service. WCS Web Context Service SOS Sensor Observation Service KML - Keyhole Markup Language WPS Web Processing System Other Spatial Standards GeoRSS GeoJson
6 Other Useful Libraies Geos - Java Topology Suite Liblas library for working with LAS format Lidar data
7 Gdal - Swiss army knife of geospatial data Features: Interfaces for 61 Raster formats and 27 vector formats. Reprojection of raster and vector datasets. Merging and splitting raster and vector datasets. Basic library used in many Open source GIS projects. Cross-platform easy install Fwtools binaries with command line utilites
8 Library interfaces to the following programming/scripting languages: Visual Basic 6 ( no swig) C/C++ Perl Python Java testing Ruby testing C# - testing R statistical programming
9 You may already be using gdal in your current GIS software! The license allows for use in open source and commercial products. Used in : GRASS UMN Mapserver QGIS ESRI ArcGIS 9.2+ Google Earth and many more.
10 Scripting Image Manipulation A case history Converting the 1 image per County NAIP UTM MrSID imagery to a Seamless Layer of DOQQ Imagery in North Carolina State Plane Projection. Doug Newcomb USFWS December, 2007
11 Hardware and software Hardware: USFWS Standard Dell Power User Intel Core 2 Duo Workstation with 6GB RAM, 1x 80 GB SATA Hard drive, 1x 750 GB SATA hard drive, 1x 500GB USB 2.0 hard drive Software: Centos bit Linux, Gdal ( compiled with ECW library), FWTools (
12 Problem Description 1 Raster Imagery is Rectangular Countiesareusuallynot Rectangular
13 Problem Description 1a WorkingwithmorethanoneCountycan
14 Problem Description 2 onessomuch,wehave3ofthem!unfortunatelyutmzo encstateplaneprojectionisstandardforallofourstate gleprojectioninaregulartiledmosaic.theidealwouldb
15 Reprojection of Imagery ypixelsarealignedtothecoordinatesystemoftheproje
16 Reprojection of Imagery ntallyalignedtothecoordinatesystemofthenewproject NoDataPixels
17 Reprojection of Imagery NoDataPixels ultwhenmultiplereprojectedimagesdisplayedtogether
19 Solution: A free, open source tool and a bit of python scripting hatallowforthereprojection,mergingandreformattingof
20 Python scripting in GDAL wyoutotreatimagesaspythonobjectsthatcanbeman dothat.insteadiusedpythontorepetitivelysubstituteva ogr2ogr gdal_translate
21 First Step: Converting the Mr.Sid imagery to something useful nvertthemrsidfiles.thebulkoftheprocessingwasdonewiththe6 nd set the output format to be Erdas Imagine. It took about 36 hours
22 Linux filesystem tricks alwithallofthedataasasingleunitandhaveenoughworkingspace xsoftlink s feature has been available in Unix style systems for about 20 years.
23 Getting DOQQ corner coordinates rolina,iranthegdaltindexcommandontheexisting1998doqqlaye s the Wildcard pattern. The filename of each image is recoded in the a shapefile to a flat text file. r the shape file, which I redirect to a text file.
25 Finding the Intersection ofthefirstpolygonareusedtoselectthefootprintsoftheimaginefile
26 Clipping the Imagine files andisusedtoextracttheportionoftheimagethatiswithintheareao eneratedgeotifffilesintoonegeotifffile.
27 Compressing the Final File enconvertedtoanecwfileandthetiffworldfileiscopiedtothemore nslate -a_srs \"epsg:32119\" -of \"ECW\" -c " % (doqtifname,doqecwname) ) (doqtfw,doqwld) ly3500times.
28 Geotools - Open Source Java Code Library that provides standards-compliant manipulation of geospatial data. Primarily used in Udig, and Geoserver.
29 Geotools - Data Sources: Shapefile, GML, WFS, Oracle Spatial, ARCSDE, MySQL, Geomedia, TIGER, PostGIS, VPF, Mapinfo, ArcGRID, AsciiGRID, Raw image ( with World File), GeoTIFF*, WMS* * - In Development
30 Servers and Services
31 Postgresql Features and Info (Fromthewebsite) Opensourcerelationaldatabasesystem. 15yearsofactivedevelopment Strongreputationforreliability,dataintegrity,andcorrectness. Runsonallmajoroperatingsystems,includingLinux,UNIX(AIX, BSD,HP UX,SGIIRIX,MacOSX,Solaris,Tru64),andWindows. FullyACIDcompliant,has Fullsupportforforeignkeys,joins,views,triggers,andstored procedures(inmultiplelanguages).it IncludesmostSQL92andSQL99datatypes,including INTEGER,NUMERIC,BOOLEAN,CHAR,VARCHAR,DATE, INTERVAL,andTIMESTAMP. Supportsstorageofbinarylargeobjects,includingpictures, sounds,orvideo. NativeprogramminginterfacesforC/C++,Java,Perl,Python, Ruby,Tcl,ODBC,amongothers,andexceptionaldocumentation. Multi VersionConcurrencyControl(MVCC), pointintimerecovery,
32 Postgresql Features and Info Asynchronousreplication, Nestedtransactions(savepoints), Online/hotbackups Sophisticatedqueryplanner/optimizer Writeaheadloggingforfaulttolerance. Internationalcharactersets, Multibytecharacterencodings,Unicode, Locale awareforsorting,case sensitivity,andformatting.itis Highlyscalablebothinthesheerquantityofdataitcanmanage andandinthenumberofconcurrentusersitcanaccommodate.
33 Postgresql Current Limitations: Maximum Database Size Unlimited* Maximum Table Size 32 TB Maximum Row Size 1.6 TB Maximum Field Size 1 GB Maximum Rows per Table Unlimited Maximum Columns per Table depending on column types Maximum Indexes per Table Unlimited
34 Postgresql Programming Interfaces: Perl Python Php Ruby Java C C++.Net ADA Smalltalk ODBC TCL Bash
42 University of Minnesota Mapserver MapServerisanOpenSourcedevelopmentenvironmentfor buildingspatially enabledinternetapplications.mapserverisnota full featuredgissystem,nordoesitaspiretobe.instead, MapServerexcelsatrenderingspatialdata(maps,images,and vectordata)fortheweb. frommapserverwebsite
46 Geoserver GEOS/Home Geoserver is a Java-based mapserver/web built on the Geotools Java spatial toolkit. Geoserver allows you to publish the map data as: Images via the WMS interface Vector data via the WFS interface Allow users to insert, delete, and update data via the WFS-T interface.
47 Geoserver GEOS/Home Features: OGC Certified WMS and WFS 1.0 web services. WFS-T ( Transactional) with atomic updates to backend data source. Vector Data from Oracle, DB2, ARCSDE, PostGIS, Shapefile,Mapinfo*, MySQL*, WFS* * - Still in Development Full feature list at : ures
48 Mapguide Open Source - mapguide.osgeo.org/ Cross platform open source web mapping solution ( but happiest on Windows for now). Formerly Autodesk's Mapguide. Open sourced in 2005 under the LGPL license.
49 Mapguide Open Source - mapguide.osgeo.org/ Features: Ajax viewer with tiled map display for smooth scrolling ( Active X may be required). Data sources: ESRI SHP, SDF, ARCSDE, MySQL, ODBC. Raster via GDAL libraries. DWF files via free download. WMS and WFS Hierarchical XML storage of data resources. Security model with inheritance features PHP,.Net, Java development environment
50 Deegree Degree is a Java framework for for spatial data infrastructures built to conform to OGC and ISO/TC 211 Standards.
51 Deegree OGC Standards support: WMS WFS 1.0 WCS 1.0 ( Web Coverage Service) CSW ( Catalogue Service Web-Profile) WFS and CSW implimentations have transactional support.
52 Deegree OGC pre Standards support: SOS ( Sensor Observation Service) WTS/WPVS ( Web Terrain Service/Web Perspective and View Service) WPS ( Web Processing Service) WFS-G ( Geocoding) Data Sources: PostGIS, Oracle Spatial 9i/10g, Shapefile, ARCSDE, SQL database, WMS, WFS Clients: Browser based ( igeoportal ) and Desktop (deejump)
53 PyWPS PyWPS stands for Python Web Processing Service, an implimentation of the emerging OGC WPS ( Web Processing Service) standard.
54 PyWPS Features: GRASS, Gdal, Proj, and R used in backend, Can access any data format open to GDAL and GRASS. Access via python modules.
56 QGIS - Multi-platform User Friendly GUI with a GRASS backend: Available for Windows, Mac OSX, and Linux. WMS Client Export view as Mapserver.map template file Import tool and edit tool for Postgis spatial database. Raster support for many formats (via GDAL and WMS) Vector support includes shapefiles, Arc/Info Coverages, Mapinfo files ( OGR Vectors).
60 Udig - Udig is a cross-platform, Java Based GIS desktop application.
62 GRASS Geographic Resources Analysis Support System (GRASS) was originally developed by the U.S Army Coordinated Engineering Research Lab (CERL) from after it was abandoned by the U.S. Government, project development was taken over by academic users worldwide in 1997 and the software license was changed from public domain to GNU GPL. The last CERL release was 4.1, but the core floating point components for 5.0 were in developed at CERL
63 GRASS The current release of GRASS is 6.3. Since the last CERL release, there have been several 5.X and 6.X releases. GRASS now has 3 -D vector topology, 3D raster support, 64 bit support for dealing with large datasets, and is in the process of becoming fully cross platform ( Windows, OSX, Linux, Solaris) with a wxpython based GUI.
66 Scaling Problems Contractor A dataset as aggregated x,y,z is 92 GB file. Commonly used GIS software on 32-bit Windows is somewhat challenged as input file size demands more than 3.5 GB RAM. Requires 3 stage process to generate surface grids. GRASS freshly ported to 32-bit Windows, performance vs 64-bit Linux? Test!
67 Test Platform Hardware: Dell 755 with Intel Core 2 Quad Q GHz processor with 8 GB ram. OS: Windows XP SP2 32-bit, Fedora 8 64-bit Software: GRASS bit for Windows GRASS bit for Linux (loaded via yum from repo) Test file size: 32 GB ( less than 1/10th of the Phase I Contractor B dataset) Command: r.in.xyz input=fullwacc.txt output=wacc10m_num method=n type=fcell fs=, x=1 y=2 z=3 zrange=0,500 percent=x X=5,20 on Windows, 50 in Linux, 10 m cell size
68 Test results 32-bit Windows GRASS at 5% of Map in memory: 48 hours 30 minutes 32bit Windows GRASS at 20% of Map in Memory: 8 hours 30 minutes 32-bit Windows GRASS would not run at 50% of map in memory. 64-bit Linux 64 bit GRASS at 50% of map in
69 Woot! 64 bit Linux / 64bit GRASS > 5x faster GRASS is single-threaded, each process limited to one core. On multi-core systems, can run 3 analysis simultaneously on the same input file.
70 But the Server was just sitting there... Had to give test machine back, but new document repository server came in: 2x Quad Core CPUs, 20 GB RAM, 8x 1 TB drives. Data moved over to document repository server for final processing.
71 Processing a 379 GB file
72 Final Input Dataset Sizes Phase I Contractor A - 92 GB (3.5 hrs) Phase I Contractor B GB (Overnight) Phase II Contractor A 150 GB (2 files -4.5 hrs, 1 hr) Phase III Contractor A 131 GB (4.5 hrs.)
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