arcgis: a platform for point cloud processing

27
DIGITAL MAPPING TECHNIQUES 2014 See Presentations and Proceedings from the DMT Meetings (1997-2014) http://ngmdb.usgs.gov/info/dmt/ The following was presented at DMT‘14 (June 1-4, 2014 - Delaware Geological Survey, Newark, DE) The contents of this document are provisional DMT 2014

Upload: vonguyet

Post on 14-Feb-2017

226 views

Category:

Documents


0 download

TRANSCRIPT

Page 1: ArcGIS: A Platform for Point Cloud Processing

DIGITAL MAPPING TECHNIQUES 2014

See Presentations and Proceedingsfrom the DMT Meetings (1997-2014)

http://ngmdb.usgs.gov/info/dmt/

The following was presented at DMT ‘14(June 1-4, 2014 - Delaware Geological Survey,

Newark, DE)

The contents of this document are provisional

DMT 2014

Page 2: ArcGIS: A Platform for Point Cloud Processing

ArcGIS:

A Platform for Point Cloud Processing

Larry Batten – Account Manager (BLM, USGS)

Page 3: ArcGIS: A Platform for Point Cloud Processing

Studying

the Earth’s Shape

Calculating

Tree Canopy

Geomorphic Analysis

Finding Historic

Features

Exploratory Point Clouds

from LiDAR

Support for Deepening Analytic Expertise

Your Mission is Our Mission

Page 4: ArcGIS: A Platform for Point Cloud Processing

Your Mission is Our Mission Support for Management and Preparedness

Corridor

Management

Forestry Analysis

Inundation Analysis

Threat Assessment

3D Viewshed

Page 5: ArcGIS: A Platform for Point Cloud Processing

Hurricane Preparations Potential tsunami inundation: Bandon, Oregon

Data courtesy of DOGAMI

Support for Disaster Mitigation

Your Mission is Our Mission

Page 6: ArcGIS: A Platform for Point Cloud Processing

Laser Scanning is Opening a World of Applications Point Clouds require a new generation of capabilities to maximize their use

Point Clouds are a transformation

Elevation:

Relief

Aspect

Property Records

Infrastructure

Asset Management

Facilities:

Utilities

Urban Planning

Transportation

3D Features:

Hydrography

Biomass

Environment:

Page 7: ArcGIS: A Platform for Point Cloud Processing

Enhanced Elevation Data Has Direct Cost Benefits

Rank Functional Area Benefit

1 Flood Risk Management $294,706,000

2 Infrastructure and Construction Management $206,212,000

3 Natural Resources Conservation $159,225,000

4 Agriculture and Precision Farming $122,330,000

5 Water Supply and Quality $85,288,000

6 Wildfire Management-Planning and Response $75,700,000

7 Geologic Resource Assessment and Hazard Mitigation $51,750,000

8 Forest Resources Management $43,949,000

9 River and Stream Resource Management $38,422,000

10 Aviation Navigation and Safety $35,000,000

Conservative Estimate of total annual cost benefit of $1.2 Billion

Total Potential Benefit of over $13 billion/year

Source: USGS & Dewberry (2012), ‘National Enhanced Elevation Assessment’

USGS: 3D Elevation Program (3DEP)

Page 8: ArcGIS: A Platform for Point Cloud Processing

Encompassing Multiple Collection Strategies Integrated data management is as fundamental as analysis tools

A versatile , economical, and accurate remote sensing resource

• Wide variety of collection parameters

• Over, on, and under – 360 Degree Field of View

• High resolution, high density data collection

• Combined with other sensors, especially imagery

Aerial

Mobile

Terrestrial

Page 9: ArcGIS: A Platform for Point Cloud Processing

ArcGIS Supports Multiple Implementation Patterns Leveraging Common Computing Architecture

Point Cloud processing has been enabled throughout this evolution

File Based Database Centric Server Centric Web Centric

Page 10: ArcGIS: A Platform for Point Cloud Processing

ArcGIS Provides a Platform A comprehensive environment for point cloud solutions

Extends point cloud applications to any device at any location

Maps

Data Apps

Services

Workflows

Models

Professional

GIS

Server

Enabling:

• Content

Management

• Access

• Sharing

• Collaboration

• Apps

Profile

Elevation

Analytics:

Viewshed

Extraction

Classification

Server

Desktop Web

Device

Portal

Page 11: ArcGIS: A Platform for Point Cloud Processing

The Advantage of ArcGIS Enabling technologies maximize Point Cloud processing

Interconnected capabilities

Sharing & Collaboration

• Web & Cloud • Maps & Apps • User Mashups

Analytics

• Integration with GIS • Dynamic Processing • Workflow Manager • Partner Technology

Content Management

• Shared Data Model • Data Discovery • Rapid Access • Services

Page 12: ArcGIS: A Platform for Point Cloud Processing

An End-to-End Workflow for Point Clouds Tightly integrated functional segments facilitate multiple processing chains

Laser scanned data easily flows from sensor to web services

Professionals Create and

share Analysis

Users access data and

conduct Visualization

Consumers access

“dynamically” produced

content Acquisition &

Data Preparation

Data Management

Analysis

Collaboration & Sharing

Page 13: ArcGIS: A Platform for Point Cloud Processing

Visualization & Analytics Four categories of analysis tools result in thousands of derived products

From Sensor to Web Services

Elevation Extraction

Bare Earth

Man-Made

Natural

Terrain

Bathymetry

Classification

3D Object Extraction

Volume

Heights

Area

Visualize

Advanced Mensuration

Profile

3D

Page 14: ArcGIS: A Platform for Point Cloud Processing

Extending Beyond the Enterprise

A Point Cloud Solution for the Nation

Source

LAS Dataset

Terrain

Dataset

(TIN)

Apps that use

LAS

Source

LAS Files

Apps that use

LAS in Terrain Apps that use

LAS as Raster

Suppliers

Ingest

Register

Raster Mosaic

Dataset

Convert to TIN

Raster Services Terrain/Feature

Services

Derived

Analytical

Products

Other

GeoData

Services

Register

Analyze Process Visualize

Acquisition Apps

Content/Catalog

Services Publishing and Sharing

Services

Clean

Classify

Coordinate

Edit

Analysts

Users and

Consumers

Mission

Planners

Proven Architectures Support Inter-Agency Implementations

Page 15: ArcGIS: A Platform for Point Cloud Processing

Cross Cutting Technical Capabilities Data Prep, Management, and Sharing remain consistent while Analysis varies based on solution requirements

From Sensor to Web Services

Sharing &

Collaboration

Data Management

Acquisition &

Data Prep

Analysis &

Visualization

Elevation

Mensuration

Classification

3D Extraction

Topography Facilities Hydrography Forestry

Page 16: ArcGIS: A Platform for Point Cloud Processing

Elevation to Support

Hydrography

Example

Sharing &

Collaboration

Data Management

Acquisition &

Data Prep

Analysis &

Visualization

Elevation

Mensuration

Classification

3D Extraction

Page 17: ArcGIS: A Platform for Point Cloud Processing

Acquisition & Data

Preparation

Step 1

Sharing &

Collaboration

Data Management

Acquisition &

Data Prep

Analysis &

Visualization

Elevation

Mensuration

Classification

3D Extraction

Page 18: ArcGIS: A Platform for Point Cloud Processing

Data Management

Step 2

Sharing &

Collaboration

Data Management

Acquisition &

Data Prep

Analysis &

Visualization

Elevation

Mensuration

Classification

3D Extraction

Page 19: ArcGIS: A Platform for Point Cloud Processing

Analysis &

Visualization

Step 3

Sharing &

Collaboration

Data Management

Acquisition &

Data Prep

Analysis &

Visualization

Elevation

Mensuration

Classification

3D Extraction

Page 20: ArcGIS: A Platform for Point Cloud Processing

Sharing

& Collaboration

Step 4

Sharing &

Collaboration

Data Management

Acquisition &

Data Prep

Analysis &

Visualization

Elevation

Mensuration

Classification

3D Extraction

Page 21: ArcGIS: A Platform for Point Cloud Processing

Reaching Beyond Elevation

A Hero’s Journey to explore the rich variety of Laser

Scanning Applications

Forestry

Coastal Change

Utility Corridors

Facilities

Bio Mass

Transportation

Disaster Recovery

Property Records

Asset Management

Surface Mining

Page 22: ArcGIS: A Platform for Point Cloud Processing

Forestry

Sharing &

Collaboration

Data Management

Acquisition &

Data Prep

Analysis &

Visualization

Elevation

Mensuration

Classification

3D Extraction

Page 23: ArcGIS: A Platform for Point Cloud Processing

Facilities

Sharing &

Collaboration

Data Management

Acquisition &

Data Prep

Analysis &

Visualization

Elevation

Mensuration

Classification

3D Extraction

Page 24: ArcGIS: A Platform for Point Cloud Processing

Utilities

Sharing &

Collaboration

Data Management

Acquisition &

Data Prep

Analysis &

Visualization

Elevation

Mensuration

Classification

3D Extraction

Page 25: ArcGIS: A Platform for Point Cloud Processing

Transportation

Sharing &

Collaboration

Data Management

Acquisition &

Data Prep

Analysis &

Visualization

Elevation

Mensuration

Classification

3D Extraction

Page 26: ArcGIS: A Platform for Point Cloud Processing

Summary: ArcGIS Is An End-to-End Solution for Point Clouds Tightly integrated functional segments facilitate multiple processing chains

Professionals Create and

share Analysis

Users access data and

conduct Visualization

Consumers access

“dynamically” produced

content

Acquisition &

Data Preparation

Data Management Analysis

Collaboration & Sharing

2. Manage, analysis and share to maximize the value

1. Create an authoritative source of elevation for shared analysis and visualization

3. Foster collaboration

Page 27: ArcGIS: A Platform for Point Cloud Processing