Earth Observation Systems

Global Industry Trends

NRSC User Interaction Meet

20 January, 2014 Hyderabad, India

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Geospatial Media & Communications

Operating since1997

Presence in India, Malaysia,

UAE, South Africa, Brazil and

The Netherlands

Key Objectives

Connecting communities

Raising industry profile

Creating awareness

Advocating conducive policies

Platform for business

development

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EO Stakeholders

Government

• India

• USA

• Japan

• Russia

• Korea

• China

• Europe

• France

• Canada

High Res

• DigitalGlobe

• MDA

• Blackbridge

• Airbus Defense & Space

Optical & LiDAR

• Hexagon

• (LeicaGeosystems & Z/I Imaging)

• Microsoft Vexcel

• Trimble

• Optech

• Riegl

Image Processing and Aerial

Photogrammetry

• ERDAS

• ENVI

• PCI

• Inpho

• Intergraph

• ------------

• ERDAS

• BAE Systems

• Intergraph

• PCI

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Value chain and market size Data needs drive the market

Government still biggest users

Defense & Security dominating demand segment

300+ Value adding service providers*

The EO commercial data market is expected to reach $3.5 billion by 2022*

Data demands in Latin America, Russia & CIS, Asia, and Middle East all report 15%+ growth (5 year CAGR)*

360 satellites expected to be launched over the next decade*

Translating into US$35.8 billion in manufacturing revenues over 2013 to 2022 (88% increase over previous decade)*

Nearly 42 countries expected to launch at least a first-generation EO satellite by 2022*

*(Source: Euroconsult)

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Expected worldwide turnover in Geo-information Service Market

by domain in 2015

Primary markets, total 50 Billion Euros

(Source: mission

study - ISU- MSS)

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Case Study: GlobAlbedo Project

Led by University College London

Time-series measurement of Earth’s reflectivity

Producing most accurate weather predictions and climate

forecasts

Data sources: Envisat and Spot-Vegetation satellites

Data available from 1998 to 2011

Provides accurate information on

changes in land cover on Earth’s energy balance

agricultural practices influencing heat waves

verifying climate models

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Case Study: African TIGER Community

Water Observation Information System (WOIS) for

monitoring, assessing and taking inventory of water

resources

Integrates satellite information such as flood monitoring

and forecasting, water body mapping for irrigation and

livestock, lake water quality, hydrological modelling for

water management and urban sanitation planning

WOIS implemented in five African water authorities

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Case Study: Fighting water nitrate pollution

To regulate use of nitrate fertilizers in agriculture EU

directs farmers to grow catch crops between farming

seasons

Satellite-derived maps used to detect catch crops growth

Based on a risk assessment approach and taking into

account various parameters such as crop types, appears

to be very efficient and promising

French authorities are able to build priority maps to focus

on areas most affected by water pollution, thus optimising

field inspectionsnrs

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Value propositions

Improved business /organizational processes

Savings in time, energy, resources utilisation

Increasing profitability/service delivery

Satisfactory or above average return on investment

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Users Perspective…

Can we expect longer series of satellite generations for multi

year series?

Why is it so difficult to develop “robust” services based on

EO?

Some of the procurement processes are for data or resources

that we have had limited experience with. This has meant that

sometimes we didn’t really know what we should be

asking for, and have had to hire outside expertise to assist us

in preparing our RFP

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Vendors tend to focus their products to tried and true clients,

often missing out on other ways EO data could be used in

different or more creative ways. As well, many of us would

welcome the ability to obtain much smaller data sets

than are commonly on offer. For example, we might want

some data, not for the full city, but just for a two block project

Policy makers need to support innovative technology, free and

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Users Perspective…

Working with EO data is something new, and technical aspects

of it are often difficult to understand. We can be a little nervous

when interacting with service providers that they fully understand

our specific needs, and conversely if we understand the implications

of the data. What can be done to better educate mangers in

this area, to help them make better decisions?

When dealing with EO data, administrative boundaries can

seem restrictive and arbitrary. A disaster affecting my city will

likely be affecting the surrounding municipalities as well. What can

be done to improve working with data outside one’s boundaries, and

how can it be obtained and managed collaboratively?

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Users Perspective…

I need services that are not too complicated (services

should be “plug-and–play”), not “over the top” (focus on

few, but useful functionalities that farmers really need,

reliable (available on time, good quality), standardised

(expected standards of service provided uniformly – the less

adaptation required, the better) and low cost

Dialogue on needs: service providers need to engage in

capacity building on the end-use of services derived from EO

data (analogy with computer: you do not need to know how it

works on the inside, but you should be able to work with it)

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Users Perspective…

How can NGO data collection and pricing structures be

developed that benefit both the NGO and the Data Provider?

There are a lot of new data sources that we either don’t know

about, can’t easily access…how can we make this simpler

and more efficient

Activity by EO service providers is not transparent, and doesn’t

help fill capacity gaps in the places we work. How can we

develop useful methods for monitoring, assessment that can

actually be transferred, implemented and learned by people on

the ground?

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India – A Sneak Peeknrsc/I

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Economy

9th largest economy in the world by nominal GDP($1.85

trillion in 2012); 3rd largest in Asia

3rd largest economy in the world in terms of PPP

India represents 2.97% of the world GDP

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Demand Spurt

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Road Ahead….

Reaching to new user communities

Need to exploit internet and have common infrastructure

Local applications

Governments most important clients

The cooperation required between governments,

scientists and the private sector

Empowerment of communities (bridging rural Digital

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Is Indian EO Industry ready

to grab the opportunity??

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5-7 February, 2014

HICC, Hyderabad

THANK YOU

See you at…

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