The following was presented at DMT 14 (June 1-4, 2014, Newark, DE).

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1 DMT 2014 The following was presented at DMT 14 (June 1-4, 2014, Newark, DE). The contents are provisional and will be superseded by a paper in the DMT 14 Proceedings. See also presentations and Proceedings from earlier DMT meetings ( )

2 ArcGIS: A Platform for Point Cloud Processing Larry Batten Account Manager (BLM, USGS)

3 Your Mission is Our Mission Support for Deepening Analytic Expertise Studying the Earth s Shape Geomorphic Analysis Calculating Tree Canopy Finding Historic Features Exploratory Point Clouds from LiDAR

4 Your Mission is Our Mission Support for Management and Preparedness Threat Assessment Corridor Management Forestry Analysis 3D Viewshed Inundation Analysis

5 Your Mission is Our Mission Support for Disaster Mitigation Potential tsunami inundation: Bandon, Oregon Hurricane Preparations Data courtesy of DOGAMI

6 Laser Scanning is Opening a World of Applications Point Clouds require a new generation of capabilities to maximize their use Environment: Elevation: Facilities: Asset Management Hydrography Biomass Relief Property Records 3D Features: Utilities Aspect Infrastructure Urban Planning Transportation Point Clouds are a transformation

7 Enhanced Elevation Data Has Direct Cost Benefits Conservative Estimate of total annual cost benefit of $1.2 Billion 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, Aviation Navigation and Safety $35,000,000 Source: USGS & Dewberry (2012), National Enhanced Elevation Assessment USGS: 3D Elevation Program (3DEP) Total Potential Benefit of over $13 billion/year

8 Encompassing Multiple Collection Strategies Integrated data management is as fundamental as analysis tools Aerial Mobile Terrestrial 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 A versatile, economical, and accurate remote sensing resource

9 ArcGIS Supports Multiple Implementation Patterns Leveraging Common Computing Architecture File Based Database Centric Server Centric Web Centric Point Cloud processing has been enabled throughout this evolution

10 ArcGIS Provides a Platform A comprehensive environment for point cloud solutions Enabling: Desktop Web Device Analytics: Content Management Elevation Viewshed Access Sharing Collaboration Apps Professional GIS Portal Maps Apps Data Services Models Workflows Profile Extraction Classification Server Server Extends point cloud applications to any device at any location

11 The Advantage of ArcGIS Enabling technologies maximize Point Cloud processing Analytics Content Management Sharing & Collaboration Shared Data Model Data Discovery Rapid Access Services Integration with GIS Dynamic Processing Workflow Manager Partner Technology Web & Cloud Maps & Apps User Mashups Interconnected capabilities

12 An End-to-End Workflow for Point Clouds Tightly integrated functional segments facilitate multiple processing chains Collaboration & Sharing Analysis Professionals Create and share Analysis Users access data and conduct Visualization Acquisition & Data Preparation Data Management Consumers access dynamically produced content Laser scanned data easily flows from sensor to web services

13 Visualization & Analytics Four categories of analysis tools result in thousands of derived products Elevation Extraction Classification Terrain Visualize 3D Profile Bare Earth Bathymetry Natural 3D Object Extraction Advanced Mensuration Man-Made Area Volume Heights From Sensor to Web Services

14 Extending Beyond the Enterprise Proven Architectures Support Inter-Agency Implementations Analysts Apps that use LAS Apps that use LAS as Raster Apps that use LAS in Terrain Services Suppliers Ingest Clean Classify Coordinate Edit Source LAS Dataset Register Source LAS Files Register Analyze Process Visualize Raster Services Raster Mosaic Dataset Convert to TIN Content/Catalog Services Terrain/Feature Services Terrain Dataset (TIN) Publishing and Sharing Services Other GeoData Derived Analytical Products Mission Planners Acquisition Apps Users and Consumers A Point Cloud Solution for the Nation

15 Cross Cutting Technical Capabilities Data Prep, Management, and Sharing remain consistent while Analysis varies based on solution requirements Topography Hydrography Facilities Forestry Acquisition & Data Prep Data Management Elevation Analysis & Visualization Mensuration Classification 3D Extraction Sharing & Collaboration From Sensor to Web Services

16 Example Elevation to Support Hydrography Acquisition & Data Prep Data Management Elevation Analysis & Visualization Mensuration Classification 3D Extraction Sharing & Collaboration

17 Step 1 Acquisition & Data Preparation Acquisition & Data Prep Data Management Elevation Analysis & Visualization Mensuration Classification 3D Extraction Sharing & Collaboration

18 Step 2 Data Management Acquisition & Data Prep Data Management Elevation Analysis & Visualization Mensuration Classification 3D Extraction Sharing & Collaboration

19 Step 3 Analysis & Visualization Acquisition & Data Prep Data Management Elevation Analysis & Visualization Mensuration Classification 3D Extraction Sharing & Collaboration

20 Step 4 Sharing & Collaboration Acquisition & Data Prep Data Management Elevation Analysis & Visualization Mensuration Classification 3D Extraction Sharing & Collaboration

21 Reaching Beyond Elevation Utility Corridors Facilities Surface Mining Bio Mass Transportation Asset Management Forestry Property Records Coastal Change Disaster Recovery A Hero s Journey to explore the rich variety of Laser Scanning Applications

22 Forestry Acquisition & Data Prep Data Management Elevation Analysis & Visualization Mensuration Classification 3D Extraction Sharing & Collaboration

23 Facilities Acquisition & Data Prep Data Management Elevation Analysis & Visualization Mensuration Classification 3D Extraction Sharing & Collaboration

24 Utilities Acquisition & Data Prep Data Management Elevation Analysis & Visualization Mensuration Classification 3D Extraction Sharing & Collaboration

25 Transportation Acquisition & Data Prep Data Management Elevation Analysis & Visualization Mensuration Classification 3D Extraction Sharing & Collaboration

26 Summary: ArcGIS Is An End-to-End Solution for Point Clouds Tightly integrated functional segments facilitate multiple processing chains Acquisition & Data Preparation Data Management Analysis Collaboration & Sharing Professionals Create and share Analysis Users access data and conduct Visualization 1. Create an authoritative source of elevation for shared analysis and visualization 2. Manage, analysis and share to maximize the value 3. Foster collaboration Consumers access dynamically produced content

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