3. Agenda
• Innledende om støtte for laserdata i ArcGIS
• En forvaltningshistorie
• En annen forvaltningshistorie
• Analyseeksempler (hvis det blir tid)
4. Overview of LAS Support in ArcGIS 10.1
P Analyze /
R Update Data
O
J
E LAS Dataset
C LAS Dataset 2
T 1
File01.las
S LAS Dataset
File02.las
… Manage
O
File99.las R Serve / Share
G
A
Multiple Files N
/ Folders Tiled / Overlapping I
Extents Z
E Mosaic Dataset
(Location / Time)
6. LAS Dataset
• New data type
• File based
• Stores references to LAS files on disk
• Optionally reference breakline data
• Treats a collection of LAS files as one logical dataset
7. LAS Dataset Strengths
• Scalability
– Works directly on LAS files
• Data Integration
– Point cloud and breakline support
– Storage efficient
• Data Management
– I/O efficient
– Edit LAS classifications
8. LAS Dataset – Creation
• Interactively via Catalog
– File folder context menu
• Using scripts and models with
geoprocessing tools
9. LAS Dataset – Analysis
• Derive surfaces
– As raster
– As TIN
• Direct surface analysis
– Interpolate shape
– Add surface information
– Line of sight
– Skyline
– Locate outliers
• Rasterize on point metrics
– LAS point statistics as a surface
14. LAS Dataset – 3D Display in
ArcScene
Data courtesy Merrick & Co.
15. Mosaic Dataset
• Optimum Model for Image Data Management
• Manage
• Multiple projects as single dataset
• Metadata
• Visualize
• On the fly representation as surface or point cloud
• View as 2D or 3D
• Share
• As a single dataset
• As Image Service
• WMS/WCS
16. Sharing LiDAR Data
• Share via ArcGIS Server
• An image service
– Access
– Discover
– Download
• A map service
17. LiDAR Data dissemination
View and download your source data for further uses
http://www.oregongeology.org/dogamilidarviewer/
18. Rasterdataforvaltning i Geodata
• Geodata har opprettet et forvaltningsprosjekt i
Amazon
• En prosjektgruppe utarbeider «Best Practise» for
«alle» typer rasterdataforvaltning
• LiDAR
• Bilder
• Batymetri
32. Multiple Elevation Data Sources
Constraints
LAS files LAS Dataset Terrains Raster grids
• Catalog of data
Mosaic
Dataset
sources
• Contains metadata
• Defines processing
• Serve to many
applications
Desktop Web Mobile
33. Extended Workflow
Source Derived: Master Referenced
Source
Mosaic Mosaic Dataset Mosaic
Imagery
Datasets (Use Table Rater Type) Datasets
Product 1
Collection1
f
Product 2
f
f
Colection2 Multi-Product
ff
f
Collection3
51. Broen er bygget mellom
utilgjengelige laserdata og ArcGIS’
funksjonsrike analysebibliotek
52. Big Data – LiDAR Data
Management and Dissemination
in the Amazon Cloud
53. Case Study – State of Oregon (US)
Department of Administrative Services
(DAS)
• Challenged to Make LiDAR Data Available to
Constituents
• Need Scalable Solution to Support Data Growth
• Ability to Deploy Multiple Content Types
• Support Direct Download of Source LAS files
• Deploy Web Application to Permit Search &
Discover & Visualization
54. Oregon Hosting Data Statistics
• Imagery Data Sources
– 2011 3355 Images
– 2009 2930 Images
– 2005 1913 Images
– 2000 1784 Images
– 1995 1962 Images
• LiDAR data
– 49 Projects
– 59,680 LAS Files
– LAS 1.0 – 1.2 Formats
– Multiple Projects, Units
– Most data not classified
– Some Derived Surfaces (DEM, DSM)
55. DAS High Level Tasks
• Configure & Deploy Temporary Processing Environment in
Amazon
• Configure & Deploy Hosting Environment in Amazon
• Migrate Existing Web App (View & CZS)
• Process Source Imagery Data
– Author Mosaic Data Sets for Each Epoch
– Create Image Caches for Each Epoch, Two Projections
56. DAS High Level Tasks
• Process LiDAR Source Data
– Author Mosaic Datasets for LAS Files / Las Datasets
– Define Mosaic Functions for LAS Data
• Deploy Web Services
– 20 Imagery Web Services
– 3 Web Services for LiDAR Data
• Tinted Hillshade (Bare Earth)
• Slope
• Aspect
– 1 Feature Service for LAS Catalog
57. DAS Oregon Storage Volumes
• Imagery Data Sources
– 5 Epochs
– 15.5 TB
• LiDAR
– Raw LAS Data required for CZS Application
• Raw Data = 23 TB
• Bare Earth Surface as DEM Raster (400 GB)
• Raster Size Depends on Post Spacing
• Panchromatic Raster
• Mosaic Data Set
58. Amazon Cloud Components
Simple Elastic EBS Amazon Config
Storage Block Snapshot Machine Operation
Service (S3) Storage (EBS) (S3) Instance
Buckets Volumes (AMI)
(1 TB Max)
S/S
Source Scaled Internet S3 Object Object Key
Data Instances (5GB Limit)
Transport
59. DAS Oregon Delivery
Architecture Options
Cache http
S3 S3 Web Service
https
S3 S3 API Service
Browser
Web
Server Image
As DAS Service
EBS EBS EBS Limit 7 TB Per
Source Server Map
(xvdb – xvdh) Service
EBS EBS EBS
Uses WMS
Windows
Client
Service
EBS Shares ArcGIS
Server
As Lustre Image
Cache
EBS … EBS
No Limit
Shared FS
Service
Map
EBS … EBS
Extensible
Uses Samba
for Windows
Service
WMS
EBS
… EBS
Clients
Or Lustre LFS Hosts
ArcGIS
Server
Service
Client for
Linux
60. Hvorfor Amazon Cloud?
• Kostnadsreduserende
– Mindre driftsbemanning
– Ikke alle kostnadene up-front
• Skalerbarhet
• Sikrere oppetid
• Fleksibilitet ift trafikk auto-oppskalering på
peakbelastning
• Enklere prosjekt da IT-rammeverket er klart
