What Is Earth Observation? A Guide to Satellite Data and Commercial EO Applications

Insider Brief

• Earth observation (EO) capacity has expanded sharply in recent years: Space Insider data shows 405 new EO satellites launched between January 2022 and September 2025, up from just 15 in full-year 2022.
• Commercial operators have displaced civil agencies as the dominant force in the sector. Across the same 2022 to September 2025 window, Space Insider data shows commercial operators account for roughly 78% of EO satellites with classifiable sector data, against 17% civil and 5% military.
• Four sensor families cover the overwhelming majority of commercial EO activity: optical imaging, Synthetic Aperture Radar (SAR), hyperspectral and thermal infrared. Each answers a different kind of question, and most commercial users combine at least two.
• Applications now extend across agriculture and insurance, defense and intelligence, maritime, energy and methane monitoring, climate and ESG (Environmental, Social and Governance), and alternative financial data.

Earth observation has moved from a niche government capability into the connective tissue of dozens of commercial industries. Insurers use it to validate claims and trigger parametric payouts. Commodity traders use it to anticipate port congestion and estimate oil inventories. Food companies use it to track crop stress months before yields show up on futures markets. Defense agencies use it to monitor fleets and borders in near real time. And the pace of capacity growth has accelerated sharply: Space Insider data shows 405 new EO satellites launched between January 2022 and September 2025, a more than tenfold jump on the 15 launched in full-year 2022 alone.

This article sets out what earth observation is, how satellite data flows from orbit to commercial decision, and where it creates value today. It is written as a foundation piece for readers new to the sector or looking for a structured view of how the market works.

What Is Earth Observation?

Earth observation, in its simplest form, is the collection of data about the Earth’s surface, atmosphere and oceans from satellites, aircraft, drones and ground-based sensors. In commercial and policy contexts, the term is used almost exclusively to mean satellite earth observation, and that is the focus here.

What distinguishes an EO satellite from, say, a communications satellite is the payload. EO spacecraft carry one or more sensors designed to detect specific parts of the electromagnetic spectrum or specific physical phenomena: reflected visible light, microwave pulses, emitted heat, trace atmospheric gases. The sensor determines what the satellite can see, when it can see it, and what the data is useful for.

Most commercial EO satellites operate in Low Earth Orbit (LEO), typically 400 to 800 kilometers above the surface, and a large share sit in Sun-Synchronous Orbits (SSO) that pass over each point on Earth at the same local solar time every day. The consistent lighting makes images comparable across weeks and months, which is essential for change detection, whether that change is a new building, a flooded field or a shift in sea ice. A smaller number of EO satellites operate in Geostationary Earth Orbit (GEO) for continuous regional coverage, most commonly for weather monitoring.

Earth Observation Explained: The Four Main Sensor Types

Four sensor families cover the overwhelming majority of commercial and government earth observation activity. Weather, climate and greenhouse-gas monitoring are sometimes described as separate sensor categories, but they are better understood as applications that use the sensor types below, usually multispectral imagers or specialized spectrometers. Understanding what each sensor does is the clearest way to understand the sector.

1. Optical imaging is what most people picture when they think of satellite imagery: cameras that capture reflected visible light, often supplemented with near-infrared and other bands to support vegetation and water-quality analysis. Optical is the workhorse of the sector and the single largest segment by satellite count. But it shares a fundamental limitation with a tourist camera: it cannot see through cloud, and it cannot see at night. Planet Labs operates the world’s largest commercial optical EO constellation. Multispectral variants of optical imaging, which capture several discrete spectral bands, are also the basis for most weather and environmental-monitoring satellites.
2. Synthetic Aperture Radar (SAR) solves both problems. SAR satellites transmit microwave pulses and measure the reflected signal, producing imagery in any weather, day or night. The trade-off is that the data looks nothing like a photograph and requires expertise to interpret. ICEYE, Capella Space and Umbra are the leading commercial SAR operators, serving disaster response, maritime surveillance and defense customers.
3. Hyperspectral sensors capture reflected light across hundreds of narrow spectral bands rather than the handful used in standard multispectral imaging. This allows for chemical-level discrimination, identifying specific minerals, crop diseases, pollutants or methane plumes that optical imagery would miss. Commercial constellations are early but scaling quickly, with Pixxel, Wyvern and Kuva Space among the current leaders. Greenhouse-gas monitoring is a specialized application of this sensor family: GHGSat operates a commercial constellation dedicated to facility-level methane detection using shortwave-infrared imaging spectrometers.
4. Thermal and infrared sensors detect emitted heat rather than reflected light, which makes them useful for wildfire detection, water-stress monitoring, industrial activity tracking and military applications. Like hyperspectral, thermal is an emerging commercial category rather than an established one, but investment has been rising as climate and security applications mature.

How Satellite Earth Observation Data Reaches Commercial Users

The distance between a satellite passing overhead and a customer making a decision is longer than most people outside the sector expect, and much of the commercial value in satellite earth observation sits in compressing that distance. The chain has four main stages:

1. Tasking. Some EO satellites image systematically, covering the same ground on a predictable revisit schedule regardless of who wants the data. Others are commanded mission by mission, pointed at specific targets in response to customer requests. Tasking flexibility and revisit rate, how often a satellite or constellation can return to the same point on Earth, are the two most important commercial levers in the business.
2. Downlink. Captured data is transmitted to ground stations when the satellite passes over a compatible station. Latency, the time between capture and customer delivery, has historically been measured in hours and is now dropping, driven by denser ground-station networks and laser inter-satellite links that allow satellites to relay data via other spacecraft.
3. Processing. Raw satellite data is not usable as-is. It must be corrected for atmospheric distortion, geometrically aligned, cloud-masked where relevant, and for most commercial applications transformed into an analytic product: a vegetation index, a change map, a vessel detection, a methane plume. Processing is increasingly moving onboard the satellite itself for time-critical applications.
4. Delivery. The end product may be raw imagery, a value-added analytic layer, an alert triggered by a specific event, or an Application Programming Interface (API) that answers a direct question. The clear industry trend is a move up this stack: fewer customers want pixels, more customers want answers.

How Industries Use Satellite Earth Observation Data

Six application areas drive most of the commercial demand for EO data today:

• Agriculture and crop insurance. Optical imagery supports vegetation-health monitoring through indices like NDVI (Normalized Difference Vegetation Index) and EVI (Enhanced Vegetation Index), while radar provides soil-moisture and flood-damage data in any weather. Insurers use the combined layer to monitor crops season-long, validate reported losses, cut claim fraud and trigger parametric payouts based on objective indicators rather than ground-based assessment. The rapid expansion of EO capacity since 2022 has moved continuous agricultural monitoring from ambition to operational reality for global insurers.
• Defense and intelligence. Defense and intelligence agencies are the single largest buyers of commercial EO data today, despite military and intelligence operators accounting for only around 5% of the active fleet by ownership. Commercial operators increasingly serve national-security customers alongside their commercial ones, with multi-year contracts forming the revenue backbone for several listed EO companies. Use cases span fleet tracking, border monitoring, facility change detection and pattern-of-life analysis.
• Maritime and logistics. SAR-enabled vessel detection is a fast-growing niche, supporting naval domain awareness, illegal-fishing detection, sanctions enforcement and commercial shipping intelligence. Container-terminal activity measured from orbit feeds into trade-flow estimates, and port congestion data informs shipping-rate models.
• Energy, infrastructure and methane. Pipeline monitoring, offshore-asset inspection and leak detection all now lean on satellite data. The methane application has moved fastest, driven by new regulatory frameworks requiring operators to detect and report emissions. GHGSat’s commercial constellation is the leading dedicated provider, with data feeding corporate ESG disclosure and regulatory filings.
• Climate, ESG and carbon markets. Deforestation monitoring, carbon-stock verification, wildfire detection and flood-risk modeling all depend on EO. This has moved from research niche to commercial category with the rise of mandatory corporate climate disclosure and voluntary carbon markets requiring independent verification.
• Finance and alternative data. Hedge funds and commodity traders use EO-derived signals, oil-storage levels from tank-top measurements, retail parking-lot traffic, construction progress, crop forecasts, as inputs to trading strategies. This is a small but high-margin slice where a few data points delivered quickly can be worth millions.

Earth observation, once a peripheral government capability, has become commercial infrastructure. The commercial fleet keeps expanding, the range of sensors keeps broadening, and the applications keep reaching into industries that had no connection to space a decade ago. For operators, investors, insurers and governments alike, the question is no longer whether EO data matters. It is how to use it well.

Space Insider’s advisory team helps governments, operators and investors navigate the evolving EO landscape. Our analysts combine proprietary platform data with market intelligence to deliver clarity on sensor adoption, competitive positioning and strategic implications for the broader space economy. Whether you are evaluating technology choices, building a business case or seeking investment opportunities, contact us to discuss your question.

Frequently Asked Questions

What is earth observation?

Earth observation is the collection of data about the Earth’s surface, atmosphere and oceans from satellites, aircraft, drones and ground-based sensors. In commercial and policy contexts, the term refers almost exclusively to satellite earth observation – spacecraft carrying sensors that detect specific parts of the electromagnetic spectrum or physical phenomena such as reflected visible light, microwave pulses, emitted heat, or trace atmospheric gases.

What are the four main types of earth observation sensors?

Four sensor families cover most commercial and government EO activity: optical imaging (reflected visible light, used for agriculture, mapping and intelligence but limited by cloud and night), Synthetic Aperture Radar or SAR (microwave pulses, works in any weather day or night), hyperspectral (hundreds of narrow spectral bands enabling chemical-level discrimination including methane plumes), and thermal infrared (emitted heat, useful for wildfires, water stress and defense applications).

How does satellite earth observation data reach commercial users?

EO data flows through four stages: tasking (systematic imaging or mission-specific pointing of satellites), downlink (transmission to ground stations, with latency now dropping via denser ground networks and laser inter-satellite links), processing (atmospheric correction, geometric alignment and conversion into analytic products like vegetation indices or vessel detections), and delivery (as raw imagery, analytic layers, event-triggered alerts, or APIs that answer direct questions).

What industries use earth observation data?

Six application areas drive most commercial EO demand: agriculture and crop insurance (vegetation-health monitoring, soil moisture, flood damage, parametric claims), defense and intelligence (fleet tracking, border monitoring, change detection), maritime and logistics (vessel detection, port congestion, trade-flow estimates), energy and methane (pipeline monitoring, leak detection, regulatory emissions reporting), climate and ESG (deforestation, carbon-stock verification, wildfire detection), and finance and alternative data (oil-storage levels, retail traffic, crop forecasts).

How much has the commercial earth observation fleet grown?

Earth observation capacity has expanded sharply since 2022. Space Insider data shows 405 new EO satellites launched between January 2022 and September 2025, a more than tenfold jump on the 15 launched in full-year 2022 alone. Commercial operators now account for roughly 78% of EO satellites with classifiable sector data in this window, against 17% civil and 5% military – a clear displacement of civil agencies as the dominant force in the sector.

What is the difference between optical and SAR satellite imagery?

Optical satellites use cameras to capture reflected visible light and produce imagery that looks like a photograph, but they cannot see through cloud or at night. SAR (Synthetic Aperture Radar) satellites transmit microwave pulses and measure the reflected signal, producing imagery in any weather and at any time of day. The trade-off is that SAR data does not look like a photograph and requires expertise to interpret. Most commercial users combine the two to balance interpretability with all-weather reliability.