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Using Imagery in ArcGIS
 

Using Imagery in ArcGIS

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Presentation by Guenter Doerffelx on Esri European User Conference 2011.

Presentation by Guenter Doerffelx on Esri European User Conference 2011.

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    Using Imagery in ArcGIS Using Imagery in ArcGIS Presentation Transcript

    • TW: Using Imagery in ArcGIS 27th of October 2011 - 16.30 to 18.00held by: Guenter Doerffel Technical Marketing Lead SynerGIS Austria (Distributor Austria) g.doerffel@mysynergis.com
    • The Description in the Agenda
    • A rough plan for this afternoon • Images as attributes and attachements • Single Image Files in ArcGIS for Desktop • Images/Raster and the Geodatabase - Raster Dataset - Raster Catalog - Mosaic Dataset • Serving Imagery: Image Services Always included: Whats comming with ArcGIS 10.1
    • Raster/Imagery as attribute • Create with ArcGIS for Desktop Standard+ • Any picture will do • No need for a Spatial Reference • Only one raster column per Table - Use relationship if you need more than 1:1 • What can you do? Raster in Feld Klick geladen See it!
    • Raster/Imagery as attachement (new in 10!) • Anything will do • No need for a Spatial Reference • Relationship class to a feature class • Objects stored in Geodatabase • Opened with „System application“ • Usable in WebMapping Apps
    • DEMO No. 1Add a raster attribute to a table Use it where you see itAdd attachements to a feature class Use it where you see it
    • Using (single) File-based raster (datasets) • Access in ArcGIS 10 is unified by GDAL-libraries (Geospatial Data Abstraction Library – gdal.org) • Format Support for read/write differs: - Read: Lossless and lossy - Write: predominantly lossless formats • „A Raster“ = the Image PLUS other files: - *.ovr (Overviews/Pyramids) … used to be *.rrd - *.prj/prjx*.??w … Projection/WorldFile - *.aux.xml … Statistics, Spatial Reference, Metadata • Many settings in ArcMap/Advanced Settings
    • Direct Access using ArcGIS and File based raster • Many Improvements with Default-Formats - Compression - Standards - TIF (vs IMG) - .OVR (vs .RRD) - Stats (.aux.xml) • Imporved GPTools - Recursive Pyramids - Statistics Optimized Access for existing and new/future formats
    • Settings for Images • ArcMap Settings for Raster - In ArcMap Settings - In GP Environment • Advanced ArcMap Settings - More here
    • 10.1: ArcMap Options - RasterExtended Defaults • More Raster Properties used • Adjust to meet your preferences
    • Optimized Raster display • Optimize Display-Performance • Uses Caching/Threading • For all Types of Imagery - Local Raster - “Mosaic Dataset” - Image Services • Dynamic Properties remain • Use as “Operational Layer” • Hardware-Accelleration supported
    • The “Image Analysis” Window … • Settings at your fingertips - Contrast, Brightness, Gamma, Stretching - Dynamic Range Adjustment - Transparency • Simple Interpretation - Zoom 1:1, Top Up - Difference - Sampling • On-The-Fly Processes - Orthorektifikation, pan-sharpening - Clip, Mosaicking - NDVI, Shaded Relief “One-Click” Access for frequently used functions
    • … in 10.1 becomes a Image Analysis Window +3 mayor enhancements • Interaktive Stretch (1) • Raster Function Button (2) • Mensuration (3) 12.4m
    • DEMO No. 2Raster Settings you should be aware ofOptimized Display (vs. Basemap-Layer)Image Analysis Window (10.1)
    • A raster type is more than a raster dataset … • Introducing the „raster type“ - Supported (only) by Mosaic Datasets - identifies metadata (georeferencing, acquisition date, sensor type) along with a raster format - Files, tables, WebServices products (like satellite sensor) - Online Help
    • … and with 10.1 becomes the „Raster product“Available to everybody everywhere in ArcGIS • Very easy to handle • „Image Intelligence“ massively improved! 10 10.1
    • A LITTLE 10.1 DEMOLoad a Raster product into ArcGIS for Desktop
    • Images as Geodatabase-Datasets • Raster-Dataset - One Entity – managed in the Geodatabase - Often the result of a mosaicking process - Same content in different resolutions (pyramids) • Raster-Catalog - Group of Raster-Datasets - Client regards them One Entity - Every part in fact is a Raster-Dataset - Every part can be different - Managed/Unmanaged - Can be time-aware
    • Raster-Dataset • For a long time THE element to store rasters in a GDB • Major properties: - Pyramids, Spatial reference, Statistics • Fast display at all scales • Stored with a tiling schema Image Image - Required – not apparent to the enduser - Tilesize defined when loading - Pyramids then tiled, too • Always somehow converts/resamples! Mosaic • Mosaic - Initial tiles are „glued“ together – overlap gets lost • Metadata only on the dataset level
    • Raster pyramids always show the same content .. 10 m Level 0 20m Level 1 40 m Level 2 Different cell sizes 80m Level 3A
    • Raster-Catalog • Grouped Raster-Datasets • Storage of Footprint-Polygons with their Raster-Datasets • Managed or Unmanaged - Unmanaged - Only a file location reference gets stored - Supported in Personal- and File-GDB - Advantage: base-Data unchanged - Managed - Pixel converted into Geodatabase - Supported in all GDB-Types - Base-Data gets changed • Usable for Animations/Time-Series
    • …by the way – still exists • Raster-Catalog based on a simple table - Any Table (in or out of Geodatabase) • Must-structure: IMAGE, XMIN, YMIN, XMAX, YMAX - IMAGE - full Path / relative Path / UNC Path or environment-variable to the source of the data • Display-Order is table record order
    • „Best of breed“: The Mosaic Dataset • Combines advantages of Unmanaged Catalog and Raster Datset • Can combine data of different resolution, color model, spatial reference, meaning … in different scales • Knows about raster types/products • Knows about (on the fly) raster functions • Can dynamically mosaic using different methods • Allows access to table for selection, download, upload (10.1) • Can create Referenced Mosaics (derived results) • Is time-aware
    • Organizing rasters as a mosaic dataset Image 1 Image 2 Image 3 Image 4 Source images Mosaic datasetA
    • Overviews are not (always) pyramids …. 10 m Level 0 20m Level 1 40 m Level 2 Different cell sizes 80m Level 3A
    • The structure of a MosaicDataset • Group-Layer display in ArcMap: - Boundary Whatever you want the extent of the Service to be - Footprint The extent of participating images Can be changed! - (Seamline) Where mosaicking is to take place - Image The Image delivered – with many additional settings
    • Mosaic methods control display order Closest to Center Area of InterestA
    • Mosaic methods control display order Closest to Nadir NadirA
    • Mosaic methods control display order By Attribute With no Cloud cover With Cloud cover By Cloud cover By Acquisition DateA D
    • DEMO No. 4Mosaic Dataset PropertiesDifferent mosaic methodsDynamic compressionRaster functionsReferenced Mosaic
    • Serving single raster datasets • Can be done without Image Extension • Allows IMAGING, WCS, WMS • Set Size, Resampling, compression on server
    • Serving mosaic datasets • Many more server-sided settings: - Size - Number of rasters - Resampling - Compression - MosaicMethods - Table/catalog access - Metadata level - Fields - Download - Upload (10.1) - Mensuration (10.1)
    • DEMO No. 5Raster Dataset Properties on the serverMosaic Dataset Properties on the server Client effects A sample web client
    • Caching Image Services • Why? - Reduce server load - No need for on-the-fly processes - Provide max. compatibility with other cached services - The „Web-feeling“ needs to be there • How? - 10: Always via an mxd-based service - 10.1: Default of ImageService can be cached
    • Me gustaría dar las gracias aI would like to thank• Tracasa• Aurensis• la Junta de Andalucía• el Instituto Geográfico Nacional• y a Esri Españapor su colaboración en los datos usados en este workshop for their collaboration with the data used for this presentation
    • Questions ???g.doerffel@mysynergis.com
    • Thank You