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🌿 '''Normalized difference vegetation index (NDVI)''' is a remote sensing metric used in insurance — particularly in [[Definition:Agricultural insurance | agricultural insurance]] and [[Definition:Parametric insurance | parametric insurance]] — to quantify vegetation health and density from satellite imagery. By measuring the difference between near-infrared light (which healthy vegetation strongly reflects) and visible red light (which vegetation absorbs), NDVI produces a value between −1 and +1, where higher positive values indicate denser, healthier plant cover. Insurers and [[Definition:Reinsurer | reinsurers]] rely on NDVI as an objective, remotely observable indicator to assess crop conditions, trigger parametric payouts, and validate [[Definition:Claim | claims]] without requiring costly on-the-ground inspections.

📡 In practice, NDVI data is captured by satellites such as those in the Landsat, Sentinel, and MODIS constellations, which provide regular imagery at varying spatial resolutions. For [[Definition:Index-based insurance | index-based insurance]] products — widely deployed across Sub-Saharan Africa, South Asia, and parts of Latin America — NDVI readings over a defined area and time window are compared against historical baselines. When the index falls below a predetermined threshold, it signals drought stress or crop failure, automatically triggering a [[Definition:Parametric trigger | parametric payout]] to the [[Definition:Policyholder | policyholder]] without the need for individual [[Definition:Loss adjustment | loss adjustment]]. This mechanism dramatically reduces [[Definition:Claims handling | claims handling]] costs, speeds settlement, and mitigates [[Definition:Moral hazard | moral hazard]] since the payout is decoupled from the insured's self-reported loss. Programs like Kenya's Kenya Livestock Insurance Program and India's government-backed crop schemes have incorporated NDVI-based triggers at national scale.

🔍 Beyond its core role in triggering parametric products, NDVI serves broader purposes across the insurance value chain. [[Definition:Catastrophe modeling | Catastrophe modelers]] and [[Definition:Underwriting | underwriters]] use vegetation indices to assess wildfire fuel loads, evaluate reforestation progress after [[Definition:Natural catastrophe | natural catastrophe]] events, and monitor land-use changes that affect [[Definition:Exposure | exposure]] profiles. As satellite imagery becomes more granular and frequently updated, the precision of NDVI-based products continues to improve, reducing [[Definition:Basis risk | basis risk]] — the gap between the index trigger and the policyholder's actual loss. For the [[Definition:Insurtech | insurtech]] sector, NDVI exemplifies how geospatial data science is transforming insurance from a document-heavy, inspection-dependent industry into one capable of real-time, data-driven risk transfer.

'''Related concepts:'''
{{Div col|colwidth=20em}}
* [[Definition:Parametric insurance]]
* [[Definition:Agricultural insurance]]
* [[Definition:Index-based insurance]]
* [[Definition:Basis risk]]
* [[Definition:Remote sensing]]
* [[Definition:Catastrophe modeling]]
{{Div col end}}

Definition:Normalized difference vegetation index (NDVI) - Revision history

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