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Introduction to Imagery and Raster Data in ArcGIS
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Esri European User Conference October 15-17, 2012 | Oslo, Norway Hosted by Esri Official Distributor
Introduction to Imagery and Raster Data in ArcGIS Peter Becker
Imagery Sessions
•
Introduction to Imagery and Raster Data in ArcGIS -
•
Managing Imagery and Raster Data using Mosaic Datasets -
•
Tue 10:45 - 12:00
Tue 1:30 - 2:45
3D Analyst - Lidar Solutions -
Wed 9:00 - 10:15
Topics
• Overview -
ArcGIS as a Comprehensive Imagery System
• Accessing
Imagery
• Visualization • Processing • Analysis
ArcGIS is a Comprehensive Imagery System
Comes with Imagery
Manages Massive Image Collections
Provides Advanced Imagery Tools
ArcGIS Comes with Imagery Directly Useable in Desktop, Web and Mobile Apps
World Imagery
•
Esri Curated
•
From Imagery Partners
•
From Other Online Users World Landsat GLS
Landsat Natural Vue
World Elevation
ArcGIS Image Management •
Providing Accessibility Supports a Wide Variety of Sensors and Sources •
Satellite
•
Pan, Multispectral
•
Aerial
•
Oblique, FMV
•
Terrestrial
•
Elevation, Lidar
•
Scanned
•
Classified, Categorical
•
Processed
•
Radar
Create Multiple Product from a Single Source Reduce Time between Acquisition and Use Scalable to Massive Collections
Delivering Imagery to All Devices •
Providing Accessibility
•
Serving Imagery as: -
Static Cache -
-
-
ArcGIS Viewers
Tiled Services, WMTS
Dynamic Services -
Rich, Full information content
-
Image Services, WMS, WCS
Image Geoprocessing -
ArcGIS
Processing, WPS
Explorer
Devices Desktop
Windows
iOS
Android
Mac
Windows
Provides Advanced Imagery Tools •
Visualization -
•
Processing -
•
Enabling Human Interpretation
Transforming pixels
Analysis -
Extracting information
Access to Imagery
•
From the Web – On Desktop On Line Cache - Image Services - OGC Web Services -
•
From the Web – On the Web WebMaps - Apps -
•
From Local Files Raster Dataset - Raster Products - Mosaic Dataset -
Raster Dataset
•
Properties -
•
Bands & Bits Formats -
TIF, NITF, FLT, JP2, ECW, JPEG, MrSID, …
-
TIF recommended
Data Structure -
Raw vs Tiled. Tile recommended when >3000Cols
•
Compression – Lossless, Lossy
•
Pyramids
•
Stats: Min,Max,Mean,StDev
Raster Products
•
Primarily for Sensor Data
•
Based on Metadata Files
•
Sets up Functions
•
Define Key Properties
•
Examples - Landsat - Ikonos
Mosaic Dataset
•
Used To Manage small to large collections
•
Defined in GeoDatabase -
Reference to Source
-
Metadata about rasters
-
Processing to be applied
-
Optional Overviews
•
Boundary
•
Footprint
•
Seamline
•
Image
Visualization •
Enabling Human Interpretation
•
Fast Display
•
Integrated vectors & imagery
•
Dynamic Enhancement
Processing •
Transforming Imagery •
Large Collection of Image Processing Tools -
Orthorectification
-
Pansharpening
-
Color Correction
-
Image to Image Registration
-
…
•
Smart use of metadata
•
Push & Pull Based Processing
•
Dynamic Mosaicking
•
On-the-Fly processing
Analysis •
Extracting Information from Imagery
•
Spatial Analysis
•
Classification
•
Interactive & Model Builder
•
Desktop & Server
Questions?
Recommend Documents
Introduction to Imagery and Raster Data in ArcGIS
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Exploiting Imagery with ArcGIS
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