Advanced Image Management using the Mosaic Dataset

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2 Esri International User Conference San Diego, California Technical Workshops July 25, 2012 Advanced Image Management using the Mosaic Dataset Vinay Viswambharan, Mike Muller

3 Agenda ArcGIS Image Management Concepts and Terminology Image Management Challenges Image Management using ArcGIS LiDAR Data Management using ArcGIS Esri Projects

4 Concepts and Terminology

5 What is Imagery in ArcGIS? ArcGIS is the leading Geographic Information System ArcGIS has supported Raster Data for decades - Visualization, Analysis, Data Management Imagery is Raster Data Imagery is part of the core information model in ArcGIS Imagery / Raster Data are not new to ArcGIS

6 Imagery is Raster Data ArcGIS supports imagery - Aerial Photography - Satellite Imagery - Thermal Imagery - Digital Elevation Models - Scanned Maps - RADAR - Thematic Images (e.g. classification results with attributes) - Analysis Surfaces (e.g. interpolated surfaces from points) ArcGIS works with all types of Raster Data

7 History of ArcGIS and Imagery Imagery Capabilities Capabilities ArcGIS continues to evolve as an imagery system

8 Describing the Capabilities Trend When we think of imagery, we think sensor A more capable system needs a rich information model to be more intelligent with sensor data Advancements in the ArcGIS imagery information model describe this capabilities trend Information Model Concept ArcGIS Version Raster Dataset 5 (Arc/Info), 8.0 Raster Type 10.0 Raster Function 10.0 Raster Product 10.1 Mosaic Dataset 10.0 Image Service 9.2 (classic), 9.3 (ArcGIS for Server) ArcGIS 10.1 has a comprehensive imagery information model

9 Raster Dataset Primary information model to read and write raster storage (pixels) Comprehensive - 1 or N Bands bits per band - compressed or uncompressed formats supported - pyramids (rrd, ovr, internal ) Read directly no need to convert ArcGIS supports working with individual images

10 Raster Type Defines rules for ingesting imagery Sensor specific Defines processing chains Defines pixel storage and metadata schema Defines georeferencing

11 Raster Function A function that can be applied to a pixel or block of pixels Machinery behind on-the-fly processing Chained together to create processing chains Geometric or Radiometric 38 out-of-the box Developers can extend ArcGIS image processing by implementing a Raster Function ArcGIS processes imagery on-the-fly

12 Raster Product Easy to use shortcuts to well known band combinations and processing chains Users don t need to understand all the constituent files associated with an image product ArcGIS makes it easier to work with well known image products

13 Mosaic Dataset A mosaic dataset is a geodatabase data model for the management and access of small to vast collections of imagery (raster data) A catalog of imagery that stores references to imagery, while ingesting and storing all associated metadata Flexible dynamic mosaicking on-the-fly processing chains ArcGIS image management is centered around mosaic datasets

14 Image Service Provides access to imagery (raster data) through a Web Service Web enabling imagery - single images - large collections using mosaic datasets Support dynamic processing Standards - Esri, WMS, WCS, KML APIs - REST, SOAP, ArcObjects Powered by ArcGIS for Server

15 Image Service More than a picture or basemap Access imagery as an image (visual analysis) Access imagery as raster data (pixel analysis, DNs) Access imagery as a catalog (collection with metadata)

16 Image Management Challenges

17 Image Management Challenges Multiple Formats Multiple Sensors Processing requirements vary Products delivered as collections of files Metadata organization and format Storage Massive collections Dissemination of derived products

18 ArcGIS Addressing Image Management Challenges Multiple Formats = Raster Dataset Multiple Sensors = Raster Type Processing requirements vary = Raster Function Products delivered as collections of files = Raster Product Metadata = Raster Type, Mosaic Dataset Storage = Mosaic Dataset Massive collections = Mosaic Dataset Dissemination of products = Image Service

19 Image Management using ArcGIS

20 Image Management Tools Built on ArcGIS Geoprocessing More than 80 tools for image management and processing - Authoring Mosaic Datasets and Image Services - Format Conversion - Compression - Statistics Calculation - Pyramid Building - Clipping / Spatial / Spectral Subsetting - More ArcGIS Geoprocessing is a proven processing framework for geospatial data

21 Mosaic Dataset Dynamic Mosaicking By default users see best available imagery Fuse of overlapping imagery from multiple sources User control of image order User control of resolving overlapping pixels on-the-fly mosaicking

22 Mosaic Dataset Dynamic Mosaicking Mosaic Methods Defines the order in which images are selected Closest to Center: closest to the view center are placed on top Closest to Nadir: distance between the nadir position and view center Closest to Viewpoint: North, South, East, West By Attribute: ORDER BY Sun Angle, ORDER BY Acquisition Date NorthWest: centers to the northwest are displayed on top Seamline: feathered blend using a predefined seamline shape Lock Raster: display a single or multiple rasters using identifier None: order in the catalog

23 Mosaic Dataset Dynamic Mosaicking Mosaic Operators Defines how overlapping pixel are resolved FIRST MIN LAST MAX BLEND MEAN distance weighted algorithm

24 Mosaic Dataset on-the-fly processing Raster Types provide default processing Author can build processing chains Raster Functions chained together Can be applied to - Mosaic Dataset - Raster(s) in a Mosaic Dataset - Raster(s) in Desktop

25 Mosaic Dataset on-the-fly processing Non-destructive - No need to alter source images or create derived intermediate images Create multiple products from the same source images without storage costs of intermediate imagery

26 Mosaic Dataset Solves image management challenges Time - Ingest imagery closer to the sensor / time of acquisition and process on-the-fly - No need to alter source images or create derived intermediate images Money - Reduced storage costs - Easier to manage large collections (automate maintenance) Value - Create multiple derived products from a single source - Catalog your withholdings - Easy access to metadata - Manage large multi-resolution, multi-sensor, disparate datasets in a single collection - Processing results are immediately visible without having to wait for persistent representations

27 Mosaic Dataset Demonstration Vinay Viswambharan

28 LiDAR Data Management using ArcGIS

29 Managing Large Collections of LAS LAS files can be ingested into a Mosaic Dataset - using LAS Raster Type - configurable (e.g. cell size, return to use, void filling ) Users work with the raster representation or download the source LAS files

30 LAS Data Management Workflow Large Collections of LAS files Mosaic Dataset Visualization & Analysis QC Raster Data Consumers Visualization & Analysis Data Managers Share as Image Service Download Project LAS files LAS Dataset Visualize Analyze Edit / Reclassify / Constraints Geodatabase Terrains Directly accessed Project LAS files LAS Data Consumers

31 Mosaic Dataset & LAS Demonstration Vinay Viswambharan

32 Esri Projects

33 Landsat Services Access to USGS Global Land Survey for ALL EPOCHS , 1990, 2000, 2005, 2010 *new 50 Dynamic Image Services - not just tiled basemaps 10 TB of imagery FREE! Powered by ArcGIS 10.1 Esri is hosting imagery using ArcGIS 10 & 10.1

34 IKONOS World Imagery Updates Project Scope - 50 million sq. km. of imagery - Select Best Of 2 million IKONOS scene archive - Select -> Ortho -> Color Balance -> Mosaic -> Cache to Basemap 300k scenes processed and growing Total Raw Data = 152 TB Esri is hosting imagery using ArcGIS 10 & 10.1

35 Coming Soon Digital Globe / GeoEye / Esri Partnership - Best of Hi-Res Satellite - Aerial 30cm US, 60cm Europe ArcGIS Online imagery content will continue to grow Esri is hosting imagery using ArcGIS 10 & 10.1

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