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#51 - Earth Observation : Ecosystem & Trends - Aravind Ravichandran

#51 - Earth Observation : Ecosystem & Trends - Aravind Ravichandran

Toulouse Data Science Meetup

The Earth observation (EO) sector is undergoing a series of advancements in the last few years with the potential to reach billions of euros later this decade. Just earlier this year, a SpaceX rocket launched over 140 satellites of which over 60 were EO satellites aimed at collecting different types of data - from radar to hyperspectral. Innovations including reduction in access to space, miniaturisation of satellites and technological advancements in cloud computing & artificial intelligence have led to the development of new EO startups all around the world with an aim to solve problems across sectors. This talk will present a high-level overview of the EO market, deep dive into the market dynamics, and present some examples of how EO data is going to become a major part of the big data economy in the years to come, leveraging on the advancements in machine learning, edge computing and cloud computing

Toulouse Data Science

December 05, 2021
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Transcript

  1. Earth Observation:
    Introduction, Trends &
    Ecosystem
    Aravind RAVICHANDRAN
    Director of Strategy, Space - Tomorrow.io
    Writer & Podcaster – TerraWatch Space

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  2. • The Earth Observation sector is rapidly growing with advancements in both hardware
    (satellites) and software (data processing)
    • Hardware: Launch prices have reduced by 10x ($1M for 200kg1) and cost of satellite
    manufacturing has reduced by 100x2, leading to the development of EO satellite constellations
    (average cost of $200M for a constellation of 16 smallsats – mass range 50 to 500 kg )
    • Software: Developments in artificial intelligence and cloud computing have enabled the storing and
    large-scale processing of data collected by satellites, resulting in development of many EO-based
    applications
    • According to market reports, the EO market was valued at about $3.9 billion in 2020,
    with a CAGR of 8% until 20273. The key markets are defence & intelligence, agriculture,
    insurance and financial services
    • The development of new EO satellites has led to the rise in availability of high resolution
    and high frequency EO data - commercial and open source, continuous decrease of
    prices and creation of new applications across different industries
    The Earth observation market is going through a period of
    rapid innovation and advancements …
    2
    Sources: 1: SpaceX,, 2: NSR, 3: PwC, 4: Euroconsult

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  3. Application
    Develop software for end users solving a
    industry-specific problem with EO data being
    one of many technologies used in the solution
    Abstraction layer for the Earth observation industry
    Analytics
    Transform satellite imagery into information
    using AI and remote sensing techniques,
    applicable across multiple industries / domains
    Software-as-a-Service
    (Domain Experts)
    Analytics-as-a-Service
    (Domain Agnostic)
    Insights
    Convert satellite-based analytics into insights,
    for a specific industry or domain, with EO data
    being the forefront of the solution
    Insights-as-a-Service
    (Quasi Domain Experts)
    Earth Observation: Operating Stack Aravind, TerraWatch Space
    https://terrawatch.substack.com
    *Non-exhaustive
    Data
    Build and launch satellites with different
    sensors to collect different kinds of data from
    space for a variety of use cases
    Abstraction layer for the space industry
    Data-as-a-Service
    (Vertically Integrated)
    ACQUISTION
    Platforms /
    Marketplaces
    Infrastructure
    Offer computing environment allowing access to
    aggregated data / algorithms and infrastructure
    to derive analytics based on analysis-ready data
    Provide scalable cloud infrastructure and
    supporting tools for storing and processing
    satellite data
    Abstraction layer for geospatial & remote sensing industry
    Platform-as-a-Service
    (Data Agnostic)
    Infrastructure-as-a-
    Service
    (Data Agnostic)
    DISSEMINATION INTELLIGENCE
    Layer Description Business Model Examples (non-exhaustive)

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  4. On-board Processing
    Hyperspectral
    Infrared
    Optical / Multispectral
    (Passive Sensor)
    Radar
    (Active Sensor)
    Radio
    Signals
    Radio
    Occultation
    Earth Observation: Acquisition Aravind, TerraWatch Space
    https://terrawatch.substack.com
    AIS
    Microwave
    *Non-exhaustive

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  5. Earth Observation: Verticalisation Aravind, TerraWatch Space
    https://terrawatch.substack.com
    Climate & Weather Sustainability & Environment Agriculture Insurance
    Multi-purpose data à Capacity to provide data applicable for solving problems / use cases across verticals
    Verticalisation à Capacity to to solve a specific problem
    etc.
    …..
    Energy
    Climate Risk
    Weather Prediction
    Emissions Wildfires
    Carbon Credits
    Property Insurance
    Parametric Insurance
    *Non-exhaustive

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  6. Retail: Using satellite
    imagery and AI to perform
    car counting
    Credit: Airbus, Orbital Insight

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  7. Infrastructure & Insurance: Lebanon Case Study
    Credit: NASA, Airbus, PCI Geomatics

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  8. Weather: Tomorrow.io
    Credit: Tomorrow.io

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  9. Weather: Tomorrow.io
    Credit: Tomorrow.io

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  10. Understanding Earth observation
    1. Data availability: What EO data is available?
    2. Data accessibility: Where/how to access the data?
    3. Data "fusability": How to work with different types of EO
    data?
    4. Data usability: What is this data used for?

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  11. Earth Observation in France

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  12. Merci !
    @aravind_raves
    [email protected]
    Aravind RAVICHANDRAN

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