Imagery Analytics for Natural Resources Management

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Imagery Analytics for Natural Resources Management Cherie Muleh

Transcript of Imagery Analytics for Natural Resources Management

Page 1: Imagery Analytics for Natural Resources Management

Imagery Analytics for Natural

Resources Management

Cherie Muleh

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About Harris Corporation

NYSE: HRS

International

United States

FY17

~$6 Billion

Annual

Revenue

Advanced technologies for customers whose missions

are vital to the world’s safety and security

Technology innovator with industry leading

commitment to research and development

Agile, commercial mindset to meet the most demanding

budgets and deadlines

17,000 employees worldwide

7,700 engineers and scientists

Supports customers in more than 100 countries

Industry leading R&D investment

Leadership positionsTactical Communications, Electronic Warfare, Avionics, Air Traffic Management, Space and Intelligence, and Weather Systems

Harris Corporation is a global technology leader, providing

secure communications, electronic systems, and solutions

for space and intelligence missions

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Challenges Facing

Our Clients

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Harris Geospatial Solutions

Understand and protect critical

components, including food, water, energy, health, and infrastructure

Socio-Economic

Security

Monitor stages of growth, manage

resources, and integrate with Smart Cities for efficient development

Sustainable Development

Support

Have the necessary tools to

perform early and predictive detections and plan response and

recovery efforts

Emergency and Disaster

Preparedness

Plan, monitor and execute national

decision, manage disparate data sources, and disseminate products

National Security,

Protection, and

Governance

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An Expanding Commercial Portfolio

Geiger-Mode LiDAR Data Products ENVI/IDLJagwire Data Management

MEGA Deep Learning

Real-Time AIS SARscape UAS Support Helios Amplify for Utilities

Harris Geospatial continues to develop world class geospatial technology to solve real-world problems. We are focused

on developing sophisticated analytics using technologies such as deep learning, SAR, and hyperspectral and making

them accessible through a range of products and services

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ENVI Image Analysis Platform

ENVI Photo-grammetry Feature Extraction DEM Extraction

Atmospheric Correction SARscape Suite of Tools

NITF/

TFRD Data

ENVI Services Engine

ENVI OneButton IDL Extensibility

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Example:

Water Analysis

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ENVI Water Quality Analysis Capabilities

Extracting Water Constituents

Harmful Algal Blooms

Oil Spill Pollution

Extracting Chlorophyll-A, Phosphorus and Turbidity

Coastal Erosion

Flood Detection

Air Pollution

Relative Water Depth Bathymetry

Assess Land Deformation

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Oil Spill Detection and Monitoring

© ESA 1992

© ESA 22/4/2010© ESA 28/4/2010

International shipping routes contain heavy oil tanker traffic

It is important to be able to detect the effects of ship activities over large expanses of coastal waters

Due to the differences in surface reflectance, texture, and light absorption, ENVI can effectively detect oil slick movement and dispersion, contaminated coastal areas, and shoreline features

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SARscape – Ship Detection

• Detected ships, here in Sentinel-1 data

(above)• SAR image, detected ships and overlaid

AIS data (left)

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Fuse Multiple Sources of Imagery

Combine data layers and analytics from ENVI into composite products for multidimensional

analysis

Fuse a multispectral and pan image into a pan-sharpened product

More applications demand the use of multiple data modalities

Integration of Radar, LiDAR, Optical, Hyperspectral, Stereo, Thermal and more is driving how applications consume and process data

These modalities will be combined to create an even richer geospatial context for decision making

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To know more, visit us at:

www.esriindia.com

Or, write to us at:

[email protected]