--- title: Impact evaluation of snow storm in Madrid, Spain | Earthpulse description: The Usable Earth Analytics | Monitor your geodistributed assets in near-real time to manage risk, uncover opportunities, and drive results with confidence. Effortlessly. image: https://www.earthpulse.ai/hubfs/Case%20study%20-%20Snow%20Storm%20in%20Madrid/snow_storm.webp --- [Skip to content](https://www.earthpulse.ai/resources/impact-evaluation-of-snow-storm-in-madrid-spain#main-content) Toggle navigation [Earthpulse](https://www.earthpulse.ai/) [search](https://www.earthpulse.ai/hs-search-results) - [Solutions](https://www.earthpulse.ai/solutions) - [Strategic](https://www.earthpulse.ai/solutions/strategic-intelligence) - [Operational](https://www.earthpulse.ai/solutions/operation-intelligence) - [Compliance](https://www.earthpulse.ai/solutions/compliance-through-satellite) - [Pulses](https://www.earthpulse.ai/solutions/pulses) - [Solutions Catalogue](https://www.earthpulse.ai/solutions-catalogue) - Products - [SPAI](https://www.earthpulse.ai/products/spai) - [Earthpulse! Labs](https://www.earthpulse.ai/earthpulse-labs) - [Sectors & Industries](https://www.earthpulse.ai/sectors-industries) - CUSTOMER STORIES - [Case Studies](https://www.earthpulse.ai/resources/tag/case-study) - Want to see how it works? - [arrow\_right\_alt Book a demo arrow\_right\_alt](https://www.earthpulse.ai/demo) - COMPANY - [About](https://www.earthpulse.ai/about-us) - [News](https://www.earthpulse.ai/resources/all) - [Contact](https://www.earthpulse.ai/contact-us) - [Insights](https://www.earthpulse.ai/resources/tag/insight) - Follow us - [Visit us on LinkedIn](https://www.linkedin.com/company/earthpulse-sl/) [Case study](https://www.earthpulse.ai/resources/tag/case-study) 27 Jan 2021 • 1 min read # Impact evaluation of snow storm in Madrid, Spain [![](https://www.earthpulse.ai/hubfs/favicon-1.ico?noresize) EarthPulse Team](https://www.earthpulse.ai/resources/author/earthpulse-team) ![Impact evaluation of snow storm in Madrid, Spain](https://www.earthpulse.ai/hubfs/Case%20study%20-%20Snow%20Storm%20in%20Madrid/snow_storm.webp?noresize) ### In this post ##### We developed this impact assessment to evaluate the damage to road infrastructure across the Community of Madrid after Storm Filomena in January 2021 and to monitor recovery in the weeks that followed. Beyond everyday mobility, road accessibility was critical. The transport networks enabled the delivery of essential goods — including food and COVID-19 vaccines — at a time when logistics could not afford disruption. For the evaluation we focused on the following questions: - Where did the greatest impact actually occur? - Which municipalities were most affected? - Who responded the fastest? - How long did full recovery take? ## Snow Extent Mapping We processed satellite imagery from before, during, and after the storm to map snow extent and track its evolution between 6 January and 5 February 2021. ![snow\_evolution](https://www.earthpulse.ai/hs-fs/hubfs/Case%20study%20-%20Snow%20Storm%20in%20Madrid/snow_evolution.gif?width=604&height=421&name=snow_evolution.gif) *Storm evolution between January 6th and February 5th 2021* ## Road Mapping We integrated official road infrastructure data from open sources to analyse exposure and disruption at municipal level. ![madrid\_map](https://www.earthpulse.ai/hs-fs/hubfs/Case%20study%20-%20Snow%20Storm%20in%20Madrid/madrid_map.webp?width=1000&height=733&name=madrid_map.webp) ## Impact quantification & evolution We measured snow impact through change detection against a pre-storm baseline. Snow-covered roads exhibit a different spectral response than exposed pavement, allowing us to identify: – Which roads were affected ![snow\_impact](https://www.earthpulse.ai/hs-fs/hubfs/Case%20study%20-%20Snow%20Storm%20in%20Madrid/snow_impact.webp?width=721&height=726&name=snow_impact.webp) By analysing multiple dates, we also captured the progression of snow removal efforts across the region. We generated operational indicators, including: Quick response rate — the reduction in snow-covered road surface between the first two recorded dates. Cleaning time — the number of days required to clear 90% of affected roads. These indicators provided an objective measure of response efficiency across municipalities. ##### Which areas were faster at responding? ![map\_response](https://www.earthpulse.ai/hs-fs/hubfs/Case%20study%20-%20Snow%20Storm%20in%20Madrid/map_response.webp?width=721&height=726&name=map_response.webp) ##### How long did it overall take? ![map\_time](https://www.earthpulse.ai/hs-fs/hubfs/Case%20study%20-%20Snow%20Storm%20in%20Madrid/map_time.webp?width=721&height=726&name=map_time.webp) ## Key Figures More than 400 roads around Madrid experienced significant disruption during Filomena. In some areas, full clearance required more than 9 days. ## Share: - [Share on Facebook](https://www.facebook.com/sharer.php?u=https://www.earthpulse.ai/resources/impact-evaluation-of-snow-storm-in-madrid-spain) - [Share on X](https://twitter.com/intent/tweet?url=https://www.earthpulse.ai/resources/impact-evaluation-of-snow-storm-in-madrid-spain) - [Share on LinkedIn](https://www.linkedin.com/sharing/share-offsite/?url=https://www.earthpulse.ai/resources/impact-evaluation-of-snow-storm-in-madrid-spain) ## Related Articles [View All](https://www.earthpulse.ai/resources) ## [![A new evidence-based system to strengthen drought resilience in the Horn of Africa](https://www.earthpulse.ai/hubfs/The_Horn_of_Africa.jpg?noresize) News 27 May 2026 A new evidence-based system to strengthen drought resilience in the Horn of Africa Earthpulse Team](https://www.earthpulse.ai/resources/a-new-evidence-based-system-to-strengthen-drought-resilience-in-the-horn-of-africa) ## [![From space to preparedness](https://www.earthpulse.ai/hubfs/Screenshot%202026-02-20%20at%2016.44.39.png?noresize) Case study 26 Jan 2026 From space to preparedness ![false](https://www.earthpulse.ai/hubfs/favicon-1.ico?noresize) EarthPulse Team](https://www.earthpulse.ai/resources/from-space-to-preparedness) ## [![RISKCHAIN a simulator for smarter supply chains](https://www.earthpulse.ai/hubfs/22.png?noresize) Case study 02 Dec 2025 RISKCHAIN a simulator for smarter supply chains ![false](https://www.earthpulse.ai/hubfs/favicon-1.ico?noresize) EarthPulse Team](https://www.earthpulse.ai/resources/riskchain-a-simulator-for-smarter-supply-chains) [Home Earthpulse](https://www.earthpulse.ai/) - [Visit us on LinkedIn](https://www.linkedin.com/company/earthpulse-sl/) San Juan de la Salle 42, 315 Edificio Sant Gervasi SG.2.08 08022, Barcelona [info@earthpulse.ai](mailto:info@earthpulse.ai) [For media enquiries media@earthpulse.ai](mailto:media@earthpulse.ai) [+34 628 772 669](tel:+34628772669) - Solutions - [Strategic Intelligence](https://www.earthpulse.ai/solutions/strategic-intelligence) - [Operational Intelligence](https://www.earthpulse.ai/solutions/operation-intelligence) - [Compliance](https://www.earthpulse.ai/solutions/compliance-through-satellite) - [Pulses - Custom Solutions](https://www.earthpulse.ai/solutions/pulses) - [Solutions Catalogue](https://www.earthpulse.ai/solutions-catalogue) - [See all solutions](https://www.earthpulse.ai/solutions) - Products - [SPAI](https://www.earthpulse.ai/products/spai) - [Earthpulse! 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