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	<title>Definition:Satellite data - Revision history</title>
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		<summary type="html">&lt;p&gt;Bot: Creating new article from JSON&lt;/p&gt;
&lt;p&gt;&lt;b&gt;New page&lt;/b&gt;&lt;/p&gt;&lt;div&gt;🛰️ &amp;#039;&amp;#039;&amp;#039;Satellite data&amp;#039;&amp;#039;&amp;#039; refers to geospatial and environmental information captured by Earth-observation satellites that insurers and [[Definition:Reinsurer | reinsurers]] use to assess, price, monitor, and settle [[Definition:Risk | risk]]. From high-resolution imagery that reveals roof conditions on individual properties to infrared sensors that track wildfire progression in real time, satellite-derived intelligence has transformed how the insurance industry understands and manages its exposure to [[Definition:Catastrophe (CAT) | catastrophic]] and everyday perils alike.&lt;br /&gt;
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📡 Insurers consume satellite data across the entire policy lifecycle. During [[Definition:Underwriting | underwriting]], carriers use satellite imagery and derived analytics to verify property characteristics, detect undisclosed hazards such as proximity to flood zones or coastal erosion, and validate information provided in [[Definition:Application | applications]]. [[Definition:Catastrophe modeling | Catastrophe modeling]] firms integrate satellite-based land use, topography, and vegetation data into their simulation engines to refine [[Definition:Probable maximum loss (PML) | probable maximum loss]] estimates. After a disaster strikes, satellite imagery enables rapid [[Definition:Loss adjustment | loss adjustment]] through damage assessments that can cover entire regions within hours — a process that would take ground adjusters weeks. [[Definition:Parametric insurance | Parametric insurance]] products often rely on satellite-measured triggers, such as rainfall indices or wind speed readings, to determine [[Definition:Payout | payouts]] without traditional [[Definition:Claims processing | claims investigation]].&lt;br /&gt;
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🌍 The expanding availability of commercial satellite constellations has driven down the cost and increased the frequency of observation, making near-daily monitoring of insured assets feasible for even mid-sized carriers. This capability is particularly valuable for [[Definition:Agricultural insurance | agricultural insurance]], where satellite-derived vegetation indices can detect crop stress before harvest, and for [[Definition:Marine insurance | marine insurance]], where vessel tracking via satellite supports [[Definition:Subrogation | subrogation]] and fraud detection. As climate change intensifies the frequency and severity of natural disasters, satellite data has shifted from a novel analytical supplement to an essential infrastructure layer underpinning modern [[Definition:Risk management | risk management]] and [[Definition:Portfolio management | portfolio management]] strategies across the global insurance market.&lt;br /&gt;
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&amp;#039;&amp;#039;&amp;#039;Related concepts:&amp;#039;&amp;#039;&amp;#039;&lt;br /&gt;
{{Div col|colwidth=20em}}&lt;br /&gt;
* [[Definition:Catastrophe modeling]]&lt;br /&gt;
* [[Definition:Parametric insurance]]&lt;br /&gt;
* [[Definition:Geospatial analytics]]&lt;br /&gt;
* [[Definition:Remote sensing]]&lt;br /&gt;
* [[Definition:Agricultural insurance]]&lt;br /&gt;
* [[Definition:Loss adjustment]]&lt;br /&gt;
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