SlideShare una empresa de Scribd logo
1 de 37
Descargar para leer sin conexión
TW: Using Imagery in ArcGIS
                  27th of October 2011 - 16.30 to 18.00

held 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. 1
Add a raster attribute to a table
    Use it    where you see it

Add 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 - Raster
Extended 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. 2
Raster Settings you should be aware of
Optimized 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 DEMO
Load 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 3

A
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 dataset




A
Overviews are not (always) pyramids ….
                       10 m

    Level 0


                               20m

    Level 1


                                     40 m

    Level 2                                 Different cell sizes



                                        80m

    Level 3

A
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 Interest

A
Mosaic methods control display order
                 Closest to Nadir




                                    Nadir

A
Mosaic methods control display order
                               By Attribute
    With no Cloud cover       With Cloud cover




                   By Cloud cover                By Acquisition Date


A                                                                      D
DEMO No. 4
Mosaic Dataset Properties
Different mosaic methods
Dynamic compression
Raster functions
Referenced 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. 5
Raster Dataset Properties on the server
Mosaic 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 a
I would like to thank

•   Tracasa
•   Aurensis
•   la Junta de Andalucía
•   el Instituto Geográfico Nacional
•   y a Esri España


por 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

Más contenido relacionado

Similar a Using Imagery in ArcGIS

Materi Geodatabase Management - Fellowship 2022.pdf
Materi Geodatabase Management - Fellowship 2022.pdfMateri Geodatabase Management - Fellowship 2022.pdf
Materi Geodatabase Management - Fellowship 2022.pdfsakinatunnajmi
 
Vector Tiles with GeoServer and OpenLayers
Vector Tiles with GeoServer and OpenLayersVector Tiles with GeoServer and OpenLayers
Vector Tiles with GeoServer and OpenLayersJody Garnett
 
Making the Most of Raster Analysis with Living Atlas Data - Esri UC 2018
Making the Most of Raster Analysis with Living Atlas Data - Esri UC 2018Making the Most of Raster Analysis with Living Atlas Data - Esri UC 2018
Making the Most of Raster Analysis with Living Atlas Data - Esri UC 2018Aileen Buckley
 
Terrain in Battlefield 3: A Modern, Complete and Scalable System
Terrain in Battlefield 3: A Modern, Complete and Scalable SystemTerrain in Battlefield 3: A Modern, Complete and Scalable System
Terrain in Battlefield 3: A Modern, Complete and Scalable SystemElectronic Arts / DICE
 
Optimizing your Map Services
Optimizing your Map ServicesOptimizing your Map Services
Optimizing your Map ServicesEsri
 
Evolution of Esri Data Formats Seminar
Evolution of Esri Data Formats SeminarEvolution of Esri Data Formats Seminar
Evolution of Esri Data Formats SeminarEsri South Africa
 
LocationTech Tour 2016 - Vectortiles
LocationTech Tour 2016 - Vectortiles LocationTech Tour 2016 - Vectortiles
LocationTech Tour 2016 - Vectortiles Morgan Thompson
 
Arc gis desktop_and_geoprocessing
Arc gis desktop_and_geoprocessingArc gis desktop_and_geoprocessing
Arc gis desktop_and_geoprocessingEsri
 
Designing and Using Cached Map
Designing and Using Cached Map Designing and Using Cached Map
Designing and Using Cached Map M.Muneeb Ashraf
 
Using postgre sql for 3d cms
Using postgre sql for 3d cmsUsing postgre sql for 3d cms
Using postgre sql for 3d cmsTim Child
 
Data managing and Exchange GDB
Data managing and Exchange GDB Data managing and Exchange GDB
Data managing and Exchange GDB Esri
 
mod-geocache / mapcache - A fast tiling solution for the apache web server
mod-geocache / mapcache - A fast tiling solution for the apache web servermod-geocache / mapcache - A fast tiling solution for the apache web server
mod-geocache / mapcache - A fast tiling solution for the apache web servertbonfort
 
Arc gis introduction-ppt
Arc gis introduction-pptArc gis introduction-ppt
Arc gis introduction-pptAshok Peddi
 
Advanced Map Caching Topics
Advanced Map Caching TopicsAdvanced Map Caching Topics
Advanced Map Caching TopicsEsri
 
Machine Learning on Distributed Systems by Josh Poduska
Machine Learning on Distributed Systems by Josh PoduskaMachine Learning on Distributed Systems by Josh Poduska
Machine Learning on Distributed Systems by Josh PoduskaData Con LA
 
belajar dasar geospatial sistem informasi geografi
belajar dasar geospatial sistem informasi geografibelajar dasar geospatial sistem informasi geografi
belajar dasar geospatial sistem informasi geografiRizal Siguniska
 
2012 Vendor Track, How City and County of Denver Serves GIS Data, Genie Hays,...
2012 Vendor Track, How City and County of Denver Serves GIS Data, Genie Hays,...2012 Vendor Track, How City and County of Denver Serves GIS Data, Genie Hays,...
2012 Vendor Track, How City and County of Denver Serves GIS Data, Genie Hays,...GIS in the Rockies
 

Similar a Using Imagery in ArcGIS (20)

Materi Geodatabase Management - Fellowship 2022.pdf
Materi Geodatabase Management - Fellowship 2022.pdfMateri Geodatabase Management - Fellowship 2022.pdf
Materi Geodatabase Management - Fellowship 2022.pdf
 
Vector Tiles with GeoServer and OpenLayers
Vector Tiles with GeoServer and OpenLayersVector Tiles with GeoServer and OpenLayers
Vector Tiles with GeoServer and OpenLayers
 
Making the Most of Raster Analysis with Living Atlas Data - Esri UC 2018
Making the Most of Raster Analysis with Living Atlas Data - Esri UC 2018Making the Most of Raster Analysis with Living Atlas Data - Esri UC 2018
Making the Most of Raster Analysis with Living Atlas Data - Esri UC 2018
 
Terrain in Battlefield 3: A Modern, Complete and Scalable System
Terrain in Battlefield 3: A Modern, Complete and Scalable SystemTerrain in Battlefield 3: A Modern, Complete and Scalable System
Terrain in Battlefield 3: A Modern, Complete and Scalable System
 
Optimizing your Map Services
Optimizing your Map ServicesOptimizing your Map Services
Optimizing your Map Services
 
Evolution of Esri Data Formats Seminar
Evolution of Esri Data Formats SeminarEvolution of Esri Data Formats Seminar
Evolution of Esri Data Formats Seminar
 
LocationTech Tour 2016 - Vectortiles
LocationTech Tour 2016 - Vectortiles LocationTech Tour 2016 - Vectortiles
LocationTech Tour 2016 - Vectortiles
 
Cheetah:Data Warehouse on Top of MapReduce
Cheetah:Data Warehouse on Top of MapReduceCheetah:Data Warehouse on Top of MapReduce
Cheetah:Data Warehouse on Top of MapReduce
 
Arc gis desktop_and_geoprocessing
Arc gis desktop_and_geoprocessingArc gis desktop_and_geoprocessing
Arc gis desktop_and_geoprocessing
 
Designing and Using Cached Map
Designing and Using Cached Map Designing and Using Cached Map
Designing and Using Cached Map
 
Using postgre sql for 3d cms
Using postgre sql for 3d cmsUsing postgre sql for 3d cms
Using postgre sql for 3d cms
 
Data managing and Exchange GDB
Data managing and Exchange GDB Data managing and Exchange GDB
Data managing and Exchange GDB
 
mod-geocache / mapcache - A fast tiling solution for the apache web server
mod-geocache / mapcache - A fast tiling solution for the apache web servermod-geocache / mapcache - A fast tiling solution for the apache web server
mod-geocache / mapcache - A fast tiling solution for the apache web server
 
Multidimensional Scientific Data in ArcGIS
Multidimensional Scientific Data in ArcGISMultidimensional Scientific Data in ArcGIS
Multidimensional Scientific Data in ArcGIS
 
Arc gis introduction-ppt
Arc gis introduction-pptArc gis introduction-ppt
Arc gis introduction-ppt
 
Advanced Map Caching Topics
Advanced Map Caching TopicsAdvanced Map Caching Topics
Advanced Map Caching Topics
 
Geoservices Activities at EDINA
Geoservices Activities at EDINAGeoservices Activities at EDINA
Geoservices Activities at EDINA
 
Machine Learning on Distributed Systems by Josh Poduska
Machine Learning on Distributed Systems by Josh PoduskaMachine Learning on Distributed Systems by Josh Poduska
Machine Learning on Distributed Systems by Josh Poduska
 
belajar dasar geospatial sistem informasi geografi
belajar dasar geospatial sistem informasi geografibelajar dasar geospatial sistem informasi geografi
belajar dasar geospatial sistem informasi geografi
 
2012 Vendor Track, How City and County of Denver Serves GIS Data, Genie Hays,...
2012 Vendor Track, How City and County of Denver Serves GIS Data, Genie Hays,...2012 Vendor Track, How City and County of Denver Serves GIS Data, Genie Hays,...
2012 Vendor Track, How City and County of Denver Serves GIS Data, Genie Hays,...
 

Más de Esri

INIA- CISA: Análisis de las amenazas en la fauna silvestre
INIA- CISA: Análisis de las amenazas en la fauna silvestreINIA- CISA: Análisis de las amenazas en la fauna silvestre
INIA- CISA: Análisis de las amenazas en la fauna silvestreEsri
 
Aena Aeropuerto Adolfo Suárez-Barajas crea potentes aplicaciones para sus cli...
Aena Aeropuerto Adolfo Suárez-Barajas crea potentes aplicaciones para sus cli...Aena Aeropuerto Adolfo Suárez-Barajas crea potentes aplicaciones para sus cli...
Aena Aeropuerto Adolfo Suárez-Barajas crea potentes aplicaciones para sus cli...Esri
 
Plataforma Smart City de Móstoles
Plataforma Smart City de MóstolesPlataforma Smart City de Móstoles
Plataforma Smart City de MóstolesEsri
 
ArcGIS Online para Organizaciones
ArcGIS Online para OrganizacionesArcGIS Online para Organizaciones
ArcGIS Online para OrganizacionesEsri
 
Molina de Segura se convierte en una smart city
Molina de Segura se convierte en una smart cityMolina de Segura se convierte en una smart city
Molina de Segura se convierte en una smart cityEsri
 
Portal for ArcGIS
Portal for ArcGISPortal for ArcGIS
Portal for ArcGISEsri
 
GIS-Based Web Services Provide Rapid Analysis and Dissemination of Maritime Data
GIS-Based Web Services Provide Rapid Analysis and Dissemination of Maritime DataGIS-Based Web Services Provide Rapid Analysis and Dissemination of Maritime Data
GIS-Based Web Services Provide Rapid Analysis and Dissemination of Maritime DataEsri
 
An Effective Tool for Drinking Water Protection
An Effective Tool for Drinking Water ProtectionAn Effective Tool for Drinking Water Protection
An Effective Tool for Drinking Water ProtectionEsri
 
GeoCollector for ArcPad
GeoCollector for ArcPadGeoCollector for ArcPad
GeoCollector for ArcPadEsri
 
GeoCollector for ArcGIS for Windows Mobile
GeoCollector for ArcGIS for Windows MobileGeoCollector for ArcGIS for Windows Mobile
GeoCollector for ArcGIS for Windows MobileEsri
 
Data Appliance for ArcGIS
Data Appliance for ArcGISData Appliance for ArcGIS
Data Appliance for ArcGISEsri
 
Esri and BlackBridge
Esri and BlackBridgeEsri and BlackBridge
Esri and BlackBridgeEsri
 
GeoPlanner for ArcGIS
GeoPlanner for ArcGISGeoPlanner for ArcGIS
GeoPlanner for ArcGISEsri
 
Esri and AccuWeather
Esri and AccuWeatherEsri and AccuWeather
Esri and AccuWeatherEsri
 
Esri and Airbus Defense & Space
Esri and Airbus Defense & SpaceEsri and Airbus Defense & Space
Esri and Airbus Defense & SpaceEsri
 
Esri US Data Fact Sheet
Esri US Data Fact SheetEsri US Data Fact Sheet
Esri US Data Fact SheetEsri
 
ArcGIS for Server on Microsoft Azure Jumpstart
ArcGIS for Server on Microsoft Azure JumpstartArcGIS for Server on Microsoft Azure Jumpstart
ArcGIS for Server on Microsoft Azure JumpstartEsri
 
ArcGIS for the Military--Maritime Operations
ArcGIS for the Military--Maritime OperationsArcGIS for the Military--Maritime Operations
ArcGIS for the Military--Maritime OperationsEsri
 
Esri Geoportal Server
Esri Geoportal ServerEsri Geoportal Server
Esri Geoportal ServerEsri
 
ArcGIS GeoEvent Extension for Server
ArcGIS GeoEvent Extension for ServerArcGIS GeoEvent Extension for Server
ArcGIS GeoEvent Extension for ServerEsri
 

Más de Esri (20)

INIA- CISA: Análisis de las amenazas en la fauna silvestre
INIA- CISA: Análisis de las amenazas en la fauna silvestreINIA- CISA: Análisis de las amenazas en la fauna silvestre
INIA- CISA: Análisis de las amenazas en la fauna silvestre
 
Aena Aeropuerto Adolfo Suárez-Barajas crea potentes aplicaciones para sus cli...
Aena Aeropuerto Adolfo Suárez-Barajas crea potentes aplicaciones para sus cli...Aena Aeropuerto Adolfo Suárez-Barajas crea potentes aplicaciones para sus cli...
Aena Aeropuerto Adolfo Suárez-Barajas crea potentes aplicaciones para sus cli...
 
Plataforma Smart City de Móstoles
Plataforma Smart City de MóstolesPlataforma Smart City de Móstoles
Plataforma Smart City de Móstoles
 
ArcGIS Online para Organizaciones
ArcGIS Online para OrganizacionesArcGIS Online para Organizaciones
ArcGIS Online para Organizaciones
 
Molina de Segura se convierte en una smart city
Molina de Segura se convierte en una smart cityMolina de Segura se convierte en una smart city
Molina de Segura se convierte en una smart city
 
Portal for ArcGIS
Portal for ArcGISPortal for ArcGIS
Portal for ArcGIS
 
GIS-Based Web Services Provide Rapid Analysis and Dissemination of Maritime Data
GIS-Based Web Services Provide Rapid Analysis and Dissemination of Maritime DataGIS-Based Web Services Provide Rapid Analysis and Dissemination of Maritime Data
GIS-Based Web Services Provide Rapid Analysis and Dissemination of Maritime Data
 
An Effective Tool for Drinking Water Protection
An Effective Tool for Drinking Water ProtectionAn Effective Tool for Drinking Water Protection
An Effective Tool for Drinking Water Protection
 
GeoCollector for ArcPad
GeoCollector for ArcPadGeoCollector for ArcPad
GeoCollector for ArcPad
 
GeoCollector for ArcGIS for Windows Mobile
GeoCollector for ArcGIS for Windows MobileGeoCollector for ArcGIS for Windows Mobile
GeoCollector for ArcGIS for Windows Mobile
 
Data Appliance for ArcGIS
Data Appliance for ArcGISData Appliance for ArcGIS
Data Appliance for ArcGIS
 
Esri and BlackBridge
Esri and BlackBridgeEsri and BlackBridge
Esri and BlackBridge
 
GeoPlanner for ArcGIS
GeoPlanner for ArcGISGeoPlanner for ArcGIS
GeoPlanner for ArcGIS
 
Esri and AccuWeather
Esri and AccuWeatherEsri and AccuWeather
Esri and AccuWeather
 
Esri and Airbus Defense & Space
Esri and Airbus Defense & SpaceEsri and Airbus Defense & Space
Esri and Airbus Defense & Space
 
Esri US Data Fact Sheet
Esri US Data Fact SheetEsri US Data Fact Sheet
Esri US Data Fact Sheet
 
ArcGIS for Server on Microsoft Azure Jumpstart
ArcGIS for Server on Microsoft Azure JumpstartArcGIS for Server on Microsoft Azure Jumpstart
ArcGIS for Server on Microsoft Azure Jumpstart
 
ArcGIS for the Military--Maritime Operations
ArcGIS for the Military--Maritime OperationsArcGIS for the Military--Maritime Operations
ArcGIS for the Military--Maritime Operations
 
Esri Geoportal Server
Esri Geoportal ServerEsri Geoportal Server
Esri Geoportal Server
 
ArcGIS GeoEvent Extension for Server
ArcGIS GeoEvent Extension for ServerArcGIS GeoEvent Extension for Server
ArcGIS GeoEvent Extension for Server
 

Último

Top 10 Most Downloaded Games on Play Store in 2024
Top 10 Most Downloaded Games on Play Store in 2024Top 10 Most Downloaded Games on Play Store in 2024
Top 10 Most Downloaded Games on Play Store in 2024SynarionITSolutions
 
Real Time Object Detection Using Open CV
Real Time Object Detection Using Open CVReal Time Object Detection Using Open CV
Real Time Object Detection Using Open CVKhem
 
A Year of the Servo Reboot: Where Are We Now?
A Year of the Servo Reboot: Where Are We Now?A Year of the Servo Reboot: Where Are We Now?
A Year of the Servo Reboot: Where Are We Now?Igalia
 
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Miguel Araújo
 
Partners Life - Insurer Innovation Award 2024
Partners Life - Insurer Innovation Award 2024Partners Life - Insurer Innovation Award 2024
Partners Life - Insurer Innovation Award 2024The Digital Insurer
 
Data Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonData Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonAnna Loughnan Colquhoun
 
Artificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsArtificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsJoaquim Jorge
 
GenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdfGenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdflior mazor
 
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024The Digital Insurer
 
Artificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : UncertaintyArtificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : UncertaintyKhushali Kathiriya
 
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, AdobeApidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobeapidays
 
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin WoodPolkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin WoodJuan lago vázquez
 
MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024MIND CTI
 
Strategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a FresherStrategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a FresherRemote DBA Services
 
Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)wesley chun
 
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationFrom Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationSafe Software
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerThousandEyes
 
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...Neo4j
 
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone ProcessorsExploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processorsdebabhi2
 
Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfBoost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfsudhanshuwaghmare1
 

Último (20)

Top 10 Most Downloaded Games on Play Store in 2024
Top 10 Most Downloaded Games on Play Store in 2024Top 10 Most Downloaded Games on Play Store in 2024
Top 10 Most Downloaded Games on Play Store in 2024
 
Real Time Object Detection Using Open CV
Real Time Object Detection Using Open CVReal Time Object Detection Using Open CV
Real Time Object Detection Using Open CV
 
A Year of the Servo Reboot: Where Are We Now?
A Year of the Servo Reboot: Where Are We Now?A Year of the Servo Reboot: Where Are We Now?
A Year of the Servo Reboot: Where Are We Now?
 
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
 
Partners Life - Insurer Innovation Award 2024
Partners Life - Insurer Innovation Award 2024Partners Life - Insurer Innovation Award 2024
Partners Life - Insurer Innovation Award 2024
 
Data Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonData Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt Robison
 
Artificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsArtificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and Myths
 
GenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdfGenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdf
 
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
 
Artificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : UncertaintyArtificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : Uncertainty
 
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, AdobeApidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
 
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin WoodPolkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
 
MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024
 
Strategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a FresherStrategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a Fresher
 
Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)
 
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationFrom Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
 
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone ProcessorsExploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processors
 
Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfBoost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdf
 

Using Imagery in ArcGIS

  • 1. TW: Using Imagery in ArcGIS 27th of October 2011 - 16.30 to 18.00 held by: Guenter Doerffel Technical Marketing Lead SynerGIS Austria (Distributor Austria) g.doerffel@mysynergis.com
  • 2. The Description in the Agenda
  • 3. 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
  • 4. 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!
  • 5. 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
  • 6. DEMO No. 1 Add a raster attribute to a table Use it where you see it Add attachements to a feature class Use it where you see it
  • 7. 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
  • 8. 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
  • 9. Settings for Images • ArcMap Settings for Raster - In ArcMap Settings - In GP Environment • Advanced ArcMap Settings - More here
  • 10. 10.1: ArcMap Options - Raster Extended Defaults • More Raster Properties used • Adjust to meet your preferences
  • 11. 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
  • 12. 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
  • 13. … in 10.1 becomes a Image Analysis Window + 3 mayor enhancements • Interaktive Stretch (1) • Raster Function Button (2) • Mensuration (3) 12.4m
  • 14. DEMO No. 2 Raster Settings you should be aware of Optimized Display (vs. Basemap-Layer) Image Analysis Window (10.1)
  • 15. 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
  • 16. … 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
  • 17. A LITTLE 10.1 DEMO Load a Raster product into ArcGIS for Desktop
  • 18. 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
  • 19. 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
  • 20. Raster pyramids always show the same content .. 10 m Level 0 20m Level 1 40 m Level 2 Different cell sizes 80m Level 3 A
  • 21. 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
  • 22. …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
  • 23. „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
  • 24. Organizing rasters as a mosaic dataset Image 1 Image 2 Image 3 Image 4 Source images Mosaic dataset A
  • 25. Overviews are not (always) pyramids …. 10 m Level 0 20m Level 1 40 m Level 2 Different cell sizes 80m Level 3 A
  • 26. 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
  • 27. Mosaic methods control display order Closest to Center Area of Interest A
  • 28. Mosaic methods control display order Closest to Nadir Nadir A
  • 29. Mosaic methods control display order By Attribute With no Cloud cover With Cloud cover By Cloud cover By Acquisition Date A D
  • 30. DEMO No. 4 Mosaic Dataset Properties Different mosaic methods Dynamic compression Raster functions Referenced Mosaic
  • 31. Serving single raster datasets • Can be done without Image Extension • Allows IMAGING, WCS, WMS • Set Size, Resampling, compression on server
  • 32. 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)
  • 33. DEMO No. 5 Raster Dataset Properties on the server Mosaic Dataset Properties on the server Client effects A sample web client
  • 34. 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
  • 35. Me gustaría dar las gracias a I would like to thank • Tracasa • Aurensis • la Junta de Andalucía • el Instituto Geográfico Nacional • y a Esri España por su colaboración en los datos usados en este workshop for their collaboration with the data used for this presentation