Image Management and Dissemination. Peter Becker

Transcription

1 Image Management and Dissemination Peter Becker

2 OUTLINE Requirements Intro to Mosaic Datasets Workflows & Demo Dynamic Mosaicking, On-the-fly processing Properties Differentiator Raster Catalog, ISDef, Mosaic Datasets Summary Questions

3 Geospatial Information, Integrated & Accessible Field Users Decision Makers Analysts Data Managers GIS Geospatial workflows Actionable information & knowledge Imagery + + Sensor Networks Knowledge Base Base Maps & Globes Georeferenced Content Imagery is Core to GIS

4 ArcGIS 10 A Complete System for Geographic Knowledge Mobile Web Manage Visualize Analyze Disseminate Discover Collaborate Cloud Enterprise Local Desktop Transforming GIS

5 Manage, Disseminate, Visualize, Analyze Imagery is Core to GIS ArcGIS enables you to: Manage, Disseminate, Visualize and Analyze all forms of imagery Platform for complete Imagery Solutions Mosaic Datasets are the optimum model of managing and serving imagery and rasters Maximizing the Value of Imagery

6 Trends in Imagery Entering the Platinum Age of Imagery Any 80 Day Current 24 Volume Amount of imagery stored Currency Any Day 20 0 Sensor EO 2012 AGI Variety Any Day Space Accuracy x 0 Platform Air Ground Space Internet x x Demand for current data Improved positional accuracy and pixel resolution 6

7 ArcGIS Maximizing the Value of Imagery Providing Image Accessibility: - Timely - Quickly - Accurately - Collectively - Simply Exploiting Rich Information Content: - Resolution - Temporal change - Spectral range - Dynamic range

8 Three Differentiators of Imagery Volume: - Magnitudes larger then other data Value: - High operational value - High strategic value $ Operational Strategic time Fixed: - A snapshot in time

9 Image Accessibility To Multiple Applications Direct Access - Raster - Mosaic Dataset

10 Image Accessibility To Multiple Applications Direct Access - Raster - Mosaic Dataset Static Web Services - Map Cache - Compact Cache - JPGPNG Pre-Process Cache Tiles ArcGIS provides image accessibility

11 Image Accessibility To Multiple Applications Direct Access - Raster - Mosaic Dataset Static Web Services - Map Cache - Compact Cache - JPGPNG Pre-Process Cache Tiles Dynamic Image Services - Server based processing - Image Services, WMS, WCS, KML - SOAP, REST interfaces Image Service ArcGIS provides image accessibility

12 Wide Variety of Imagery Multiple Sources - Satellites, Aerial,Terrestrial, Scanning Multiple Forms - Ortho Images Tiles - Image Strips - Processed Rasters - Elevation models / Lidar - Analysis results - Thematic maps - Scenes - Sensor Images Procured as Background Acquired for Analysis Multiple Formats - TIF, NITF, JP2,

13 Management and Dissemination Requirements Imagery as Background Imagery for Analysis Catalog Define processing Provide Accessibility - Direct Access - Serve - Cache? Importance of time, temporal Simple Workflows

14 Mosaic Dataset Optimum Model for Image Data Management Within ArcGIS Desktop Quickly Catalog - All raster datasets - Imagery from different sensors Define In Geodatabase - Metadata - Processing to be applied - Default viewing rules Access In all ArcGIS applications - As Image - Dynamic Mosaic, Processed on the fly - As Catalog - Footprints, Detailed metadata

15 Workflow overview

16 Workflow overview

17 Workflow overview

18 Workflow overview Image Service

19 Workflow overview + Image Service

20 Workflow overview + Image Service Reference MD

21 Workflow overview + Image Service Reference MD Cache? Cache Tiles

22 Creating a Mosaic Dataset GDB, Personal or Enterprise Geodatabase Name Coordinate System - For management and overviews - Web Mercator? Bands, Pixel Type Data will internally be converted to this

23 Mosaic Dataset in ArcMap Visible as Group Layer - Boundary Extent of Mosaic Dataset - Footprints Extent of raster + Attributes (inc Raster & Function) - Image Processed and mosaicked image - Seamline Extents used for Seamline mosaic method

24 Mosaic Dataset Properties and Tools Properties - Properties of Mosaic Dataset Tools - Data Management, Mosaic Dataset - Data Management, Raster Catalog

25 Demo Simple workflow

26 Image Preparation / Pre-Processing Generally not required Conversion Optimization of some formats - ASCII DEM - Large non tiled rasters - Compression (Lossy or Lossless) Pyramids Reduced Resolution Datasets - When NCols >5000 Stats Enable automated enhancement - For non enhanced imagery Consider also as a post process. Create service quickly, then replace

27 Raster Types Raster Dataset - For common rasters Sensor Specific - Loads Product specific Metadata and defines processing - Often combine multiple rasters (PanSharpening) Table - More advanced workflows (Catalogs, RPDefs, Derived MD) Templates - Store setting for future use Custom - Automate ingest of other imagery and rasters

28 Overviews Provide fast small scale access Similar to Cache for small scale Optional - Often better to use other imagery Define Overview Build Overview

29 Cell/Pixel Sizes Define usable sizes of cells Attributes of Footprint Table LoPS, HiPS - Range of cells size for the raster - Set when rasters added MinPS,MaxPS - Range to display rasters - Set when added or Compute Cell size Direct relation to scale: Scale=PixelSize * 96 / Compute Cell Size tool Computed MinPS,MaxPS based on imagery overlap Optionally used Table Calculate

30 Properties, Metadata and Attributes Raster Properties - For each raster Raster Metadata - Directly from Raster Dataset - Sstored with Raster - Available using identify Table Attributes - From raster type - Added by Author - For query & ordering / sorting

31 Dynamic Mosaicking Order of imagery is changed as required Imagery clipped by Footprint Mosaic Methods - None Order of records, for tiled images - Nearest Center Image Center closest to screen center - By Attribute Order based on attribute. Eg SunAngle - ViewPoints Order based on location of sensor - Most Northwest Fixed - Lock Raster Defined list - Seamline Sorder + Seamline polygons Query Definition Any SQL statement Mosaic Dataset Property define default End User can refine t1 t2 t3 t4 t5

32 On-The-Fly Processing Process image as accessed Stretch, Extract Bands Clip, Mask Reproject, Orthorectify Pan Sharpen Vegetation Index, Classify Shaded Relief, Slope, Aspect Color Correction

33 Credit: Imagery Courtesy of Digital Globe & MDA Federal Color Correction on-the the-fly Without Color Correction Color Corrected QuickBird Scenes Tehran, Iran

34 No Data and Clipping Footprints Exclude non required pixels Clip out non required pixels - Legends borders, clouds, sea, NoData - Specific data values (eg -999) - No Data Mask - Define valid pixel range Clip by footprints - All rasters clipped by footprints - Build Footprints - Manually Edit - Define

35 Mosaic Dataset Properties Compression for transmission Mosaic Methods MaxRows/Cols Time Stats

36 Updating thousands of images in minutes. Credit: Imagery Courtesy of GeoEye

37 Synchronizing & Update Syncrhonize - Update Mosaic Dataset when source changes - Updates overviews Use Model Builder Updating thousands of image in minutes

38 Demo More Advanced Workflow

39 Reference and Derived Mosaic Datasets Reference Mosaic Dataset - Create different services using same base mosaic datasets - Globally add functions Eg HillShade or NDVI - Define Queries Refine accessible rasters - Refine boundary Exclude Areas - Change properties Allowed mosaic methods, Derived Mosaic Datasets - Replicates records - Add raster functions - Uses Table Raster Type - Synchronize with source

40 Customizing Model Builder Automate using standard tools Raster Types Custom to automated image product creation XForms Image To Ground transform. Eg Sensor models Functions Pixel based processes ArcObjects Advanced

41 Changing Workflows for Linear to Transactional Conventional Image Processing Workflows are Linear - Multiple processes create intermediate results - Products created as static mosaic Mosaic Datasets Enable Transactional Workflows - Processes applied on demand - Products created on demand

42 Imagery Dynamically Processed and Served Using Image Server Technology Image Libraries Image Services Standard Clients Shorten the time from sensor to use ArcGIS Server Mosaics Datasets Benefits Simpler access Image Integration Fast Visualization Lowers Cost Dynamic Analysis

43 Differences to Raster Catalog, Image Server

44 Publishing Image Services Dynamic Imagery Service Client make request : Server processes as required Image Services Core to ArcGIS Server - Single Raster Single Service - Compression for transmission Low bandwidth networks - Functions (as LYR or user definable) - Export Image Extension Extends Image Services - Mosaic Dataset Large Collections with OTF processing - Mosaic Rules - Query - Catalog & raster Metadata - Download (with clipping)

45 Using Image Services ArcGIS Desktop ArcGIS Explorer Web - APIs - WMS,WCS,KML Mobile (via map document) 3rd Party AutoCAD, Microstation (promoting use of WMS)

46 GeoProcessing Directly use in ArcGIS tools Use in Models - MakeImageServer Layer Set Max Rows/Cols very large - Resample - Download

47 ArcGIS A Platform for Complete Imagery Solutions Information Centric Workflows Enable Efficiency & Interoperability ESRI works closely with its partners ArcGIS provides THE platform Partners provide domain expertise Trimble (Applanix) Microsoft (Vexcel) DigitalGlobe Pictometry RapidEye GeoEye SPOT Automated Feature Extraction Multispectral Analysis Hyperspectral Analysis Radar Specialized Sensor Support Stereo Display PCI Geomatics Trimble (Inpho) LizardTech i-cubed MDA ITT VIS Definiens Clark Labs Overwatch BAE Systems Service partners not listed DAT/EM PurVIEW TerraGo Qcoherent

48 Summary Mosaic Dataset - Optimum scalable model for Image Data Management Image Services Serve to large numbers of users Dynamic Mosaicking and On-The-Fly Processing - Reduces time to make image accessible - Remove a lot of pre-processing Image Extension - Extends Image Services to serve Mosaic Datasets

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