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?