Eye In The Sky: The Future of Risk Assessment From Above

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Hannah Fisher
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1 Eye In The Sky: The Future of Risk Assessment From Above Property Insurance Report National Conference 15 November 2010 Timothy E. Carone, Ph.D. Director, Global Climate Monitoring Systems Advanced Programs and Technology Division Northrop Grumman Aerospace Systems Approv ed f or Public Release: Northrop Grumman Aerospace Sy stems Case Dated 5/13/10

2 Risk Management What To Expect In The Next 5 Years 1. The Data Fire Hose a. Highly accurate, quantitative information on homes and properties a. Roof age and variations down to several centimeters in size b. Subsurface phenomena such as below-ground concrete conditions and water leakages c. Data from many types of sensors fused into one view b. Change detection most CONUS homes assessed several times per year c. On demand data damage assessments before, during and after a catastrophe (e.g., hurricanes) d. Large variety of sensors and platforms almost configurable to specific needs 2. Knowledge From Data a. Better predictive analytics using the new types of data b. Better models that use the new data c. Risk metrics on climate change, energy and water issues relevant to insurance companies

The Basic Remote Sensing Process Service Segment

Photogrammetry Processing Base Mapping Mapping

Data Mining Geospatial Information Systems Adv

Inputs Inputs Inputs Aircraft Hardware Hardware

3 The Basic Remote Sensing Process Service Segment Digital Photography LiDAR Surveying Photogrammetry Processing Base Mapping Mapping Value Added Services Exploit. Data Mining Geospatial Information Systems Adv Analytics Analysis and Consulting Inputs Inputs Inputs Inputs Inputs Aircraft Hardware Hardware Hardware Hardware Sensors Software Software Software Software On Board Processors 3

What Is Needed: Deliver High Value Data Products Sensors: LiDAR/SAR HSI +

Services: Data Reports and Imagery Species = Oak Height = 45 Crown Dia = 60

= 1,200 ft 2 Height = 40 Roof Mat = Asphalt Roof Age = 15 years Fused

attribute data with superior accuracy and precision Near-real time

Products Intuitive, user-friendly information Sensors on aircraft or

extracted using automated algorithms Collected data will be combined with

and services will be delivered to customers in insurance, environmental

6 What Is Needed: Deliver High Value Data Products Sensors: LiDAR/SAR HSI + Data Collection: Attribute Extraction: h h + d = Data Products and Services: Data Reports and Imagery Species = Oak Height = 45 Crown Dia = 60 Age = 50 years Moisture = 40% Health = Good Risk Assessment & Modeling Area = 1,200 ft 2 Height = 40 Roof Mat = Asphalt Roof Age = 15 years Fused External Data Sources Comprehensive property, geographic and environmental attribute data with superior accuracy and precision Near-real time Tailored, On-demand data collection Cost-effective and Standardized Products Intuitive, user-friendly information Sensors on aircraft or satellites to collect raw data Application-specific data attributes extracted using automated algorithms Collected data will be combined with available data such as maps, building plans, and public records Products and services will be delivered to customers in insurance, environmental research, property tax assessment, emergency response, etc. Help insurance companies regain profitability in the homeowners market

7 Future Remote Sensing Technologies Multispectral Hyperspectral RADAR / SAR Thermal Atmospheric LIDAR Surface LIDAR Passive Microwave RADAR Altimetry 7 Limb Sounding Laser Ranging Irradiance/Photometry Scatterometry

8 Hyperspectral Remote Sensing Enables Advanced Materials Characterization 8

characterization RGB Imagery HSI Spectral

9 Material Identification in Urban Environments HSI vegetation characterization RGB Imagery HSI Spectral Mapping Overlaying of high res RGB and spectral signatures. Here showing vegetation stress 9 Simultaneous collection of high resolution RGB and hyperspectral imagery allows routine material characterization of urban environments.

10 3D Flash LADAR Single Ladar pulse generates an entire 3D image Increasing scan & area coverage rates Simplifying scene mosaics and data stitching Dramatically increases viewing angles and scene representation for viewing structures through canopy Image 2 Top View Building Reconstruction Image 2 Side View 10

11 Current Remote Sensing Enables Integrated Monitoring Across All Layers Macro, Global, Med Resolution Persistent View Large Area, High Resolution Periodic View Focused Area, Very High Resolution On-Demand View In Situ Direct Presence

The Planes That Get The Data Length: Wingspan Height: Gross Wt: Max Speed: Op. Ceiling: Max Range: 26.92 ft 35.83 ft 8.

9 nm Length: Wingspan Height: Gross Wt: Max Speed: Op. Ceiling: Max Range: 155.25 ft 124.83 ft 44.

12 The Planes That Get The Data Length: Wingspan Height: Gross Wt: Max Speed: Op. Ceiling: Max Range: ft ft 8.5 ft 2,200 lbs 117 kt TAS 15,100 ft 539 nm Length: Wingspan Height: Gross Wt: Max Speed: Op. Ceiling: Max Range: 33.5 ft ft 11.5 ft 10,000 lbs kt TAS 26,180 ft nm Length: Wingspan Height: Gross Wt: Max Speed: Op. Ceiling: Max Range: ft ft 44.5 ft 220,000 lbs 493 kt TAS 42,000 ft 3,929 nm Cessna 172 Cessna 402 B MQ-1 Predator MQ-9 Reaper Block 20 Global Hawk Length: Wingspan Height: Gross Wt: Max Speed: Op. Ceiling: Max Range: 27 ft 48.7 ft 6.9 ft 2,250 lbs kt TAS 25,000 ft 400 nm Length: Wingspan Height: Gross Wt: Max Speed: Op. Ceiling: Max Range: 36 ft 66 ft 11.8 ft 10,500 lbs 220 kt TAS 42,250 ft 4,950 nm Length: Wingspan Height: Gross Wt: Max Speed: Op. Ceiling: Max Range: 47.6 ft ft 15.4 ft 32,500 lbs 310 kt TAS 60,000 ft 9,920+ nm

Small UAVs Are Becoming Prevalent Wingspan = 10 ft

Payload Power = 600 Watts Endurance = 4-24hrs Max

Independent Pneumatic Rail Launch Net Recovery Fully

/ CH-53 / CH-47 Transportable HMMWVDeployable EO/IR,

2-Man Operable Single Trailer Logistics: Launcher /

13 Small UAVs Are Becoming Prevalent Wingspan = 10 ft Gross Weight = 164 lbs Payload Weight = lbs Payload Power = 600 Watts Endurance = 4-24hrs Max Speed = 125 kts Max Altitude = 20,000 ft + Runway Independent Pneumatic Rail Launch Net Recovery Fully Autonomous Organic Class-II UAV ISO-20 / C-130 / H-60 / CH-53 / CH-47 Transportable HMMWVDeployable EO/IR, Communications Relay STANAG Compliant 50 nm Comms 2-Man Operable Single Trailer Logistics: Launcher / Net Recovery / 3 Air Vehicles 1 Hour Set-up / 30 Minute Teardown 10 ft ft Approv ed f or Public Release, Distribution Unlimited: Northrop Grumman Case Dated 6 August 2009

14 Data Fusion 14

15 Rapid Post Catastrophe Assessment Example: Hurricane Ike (Landfall Sept. 13) Galveston, TX Remote Sensing Can Provide Rapid Post-Cat Change Detection, Quantitative Damage Assessment and Severity

16 What Futuristic Sensors Are Out There? There Is More To Structures Than Just That They Reflect Sunlight They Make Sounds They Have Weight They Have Thermal Signatures 16

17 Risk Management What To Expect In The Next 5 Years PROFITS IN INSURING PROPERTIES

18 18

UAS ISR Sensors Roadmap Update to 26 th Annual AUVSI Pathfinder Symposium 19 March 2015

UAS ISR Sensors Roadmap Update to 26 th Annual AUVSI Pathfinder Symposium 19 March 2015 COL Casimir (Casey) Carey Director, U.S. Army Training & Doctrine Command Capability Manager for Intelligence Sensors