{"id":2081,"date":"2026-01-27T15:18:38","date_gmt":"2026-01-27T15:18:38","guid":{"rendered":"https:\/\/wp-productionenv-bjg9h2g2bgg5b8aa.southeastasia-01.azurewebsites.net\/news\/aidash-selects-spire-global-to-integrate-space-based-weather-data-to-vegetation-risk-platform\/"},"modified":"2026-01-27T15:18:38","modified_gmt":"2026-01-27T15:18:38","slug":"aidash-selects-spire-global-to-integrate-space-based-weather-data-to-vegetation-risk-platform","status":"publish","type":"post","link":"https:\/\/starpath.global\/news\/aidash-selects-spire-global-to-integrate-space-based-weather-data-to-vegetation-risk-platform\/","title":{"rendered":"AiDASH Selects Spire Global to Integrate Space-based Weather Data to Vegetation Risk Platform"},"content":{"rendered":"<p style=\"text-align: justify;\" itemprop=\"image\" itemscope=\"\" itemtype=\"https:\/\/schema.org\/ImageObject\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/cdn.satnow.com\/news\/1769499506478_639050963089167087.webp\" class=\"imageload removeImageattr fr-dib\" width=\"711\" height=\"376\" alt=\"AiDASH Selects Spire Global to Integrate Space-based Weather Data to Vegetation Risk Platform\" data-original=\"https:\/\/cdn.satnow.com\/news\/1769499506478_639050963089167087.webp\" style=\"opacity: 0;\"><meta itemprop=\"url\" content=\"https:\/\/cdn.satnow.com\/news\/1769499506478_639050963089167087.webp\"><meta itemprop=\"width\" content=\"711\"><meta itemprop=\"height\" content=\"376\"><\/p>\n<p style=\"text-align: justify;\"><strong>Spire Global<\/strong>, a global provider of satellite data, analytics and intelligence, announced it was selected by <strong>AiDASH<\/strong>, the leading provider of vegetation, storm, and ignition risk intelligence and SatelliteFirst\u2122 grid monitoring solutions, to provide advanced weather intelligence and data that enhances AiDASH\u2019s integrated solution for securing the modern electric grid from vegetation and weather-driven risk.<\/p>\n<p style=\"text-align: justify;\">Designed to enhance grid resilience and situational awareness for electric utilities, AiDASH has integrated Spire\u2019s high-resolution weather forecasts, powered by Spire\u2019s fully deployed satellite constellation, into its AI-driven vegetation and outage prediction tools and deployed to North American utilities\u2019 control centres. By combining Spire\u2019s advanced weather forecasting capabilities with AiDASH\u2019s vegetation risk models, the integration creates a comprehensive, real-time view of weather-driven grid risk, enabling utilities to better anticipate outages, prevent wildfire ignition, and optimise response operations.<\/p>\n<div class=\"widget-layout related-content-also-read-box my-3\">\n<h4 class=\"mb-0\">Also Read: How does Satellite data help in monitoring climate change?<\/h4>\n<\/div>\n<p style=\"text-align: justify;\">\u201cUtilities are navigating a new operating reality shaped by more frequent extreme weather events and growing pressure to maintain reliability as the climate changes,\u201d said <strong>Shawn Mechelke<\/strong><strong>, General Manager of Spire Weather &amp; Climate<\/strong>. \u201cBy bringing together Spire\u2019s global weather intelligence with AiDASH\u2019s vegetation insights, along with Spire\u2019s expert meteorology team to support storm outage prediction, mitigation and wildfire risk, we\u2019re giving operators the clarity they need to prepare earlier, respond faster, and protect the communities they serve.\u201d<\/p>\n<p style=\"text-align: justify;\">Spire\u2019s weather intelligence is powered by satellite-derived data collected from its fully deployed constellation, including radio occultation, ocean winds, and soil moisture measurements. These observations are ingested into Spire\u2019s advanced data assimilation system to produce high-resolution forecasts with hourly predictions up to six days in advance. The resulting 3-kilometre model provides utilities with the local-scale insight needed to understand how wind, temperature, moisture, and storm dynamics may influence vegetation behaviour, line loading, and infrastructure performance, supporting more accurate outage prediction and more informed operational planning during high-impact weather.<\/p>\n<p style=\"text-align: justify;\">The platform also includes access to Spire\u2019s 24\/7 team of meteorologists, who deliver tailored forecasts and real-time guidance during rapidly evolving weather to help operators align staffing, vegetation management, and restoration efforts with the latest intelligence. &#8220;The future of grid resilience is not just predicting a storm but predicting how that storm impacts vegetation within a right-of-way,&#8221; said <strong>AiDASH CEO,&nbsp;<\/strong><strong>Abhishek Singh<\/strong>. &#8220;This synergy ensures utilities have an unparalleled view of risk, allowing them to proactively manage vegetation, prevent outages, and protect critical assets. High-resolution forecasts will now be a core data source for all our weather-dependent AI tools, notably improving outage predictions and wildfire ignition intelligence.&#8221;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Spire Global, a global provider of satellite data, analytics and intelligence, announced it was selected by AiDASH, the leading provider of vegetation, storm, and ignition risk intelligence and SatelliteFirst\u2122 grid monitoring solutions, to provide advanced weather intelligence and data that enhances AiDASH\u2019s integrated solution for securing the modern electric grid from vegetation and weather-driven risk. [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":"","_links_to":"","_links_to_target":""},"categories":[2],"tags":[65,20,45],"class_list":["post-2081","post","type-post","status-publish","format-standard","hentry","category-news","tag-actuators","tag-satellite","tag-sensors"],"acf":[],"_links":{"self":[{"href":"https:\/\/starpath.global\/blog\/wp-json\/wp\/v2\/posts\/2081"}],"collection":[{"href":"https:\/\/starpath.global\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/starpath.global\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/starpath.global\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/starpath.global\/blog\/wp-json\/wp\/v2\/comments?post=2081"}],"version-history":[{"count":0,"href":"https:\/\/starpath.global\/blog\/wp-json\/wp\/v2\/posts\/2081\/revisions"}],"wp:attachment":[{"href":"https:\/\/starpath.global\/blog\/wp-json\/wp\/v2\/media?parent=2081"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/starpath.global\/blog\/wp-json\/wp\/v2\/categories?post=2081"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/starpath.global\/blog\/wp-json\/wp\/v2\/tags?post=2081"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}