{"id":224766,"date":"2025-11-02T08:55:58","date_gmt":"2025-11-02T18:55:58","guid":{"rendered":"https:\/\/www.hawaii.edu\/news\/?p=224766"},"modified":"2025-11-02T14:52:02","modified_gmt":"2025-11-03T00:52:02","slug":"sage-grande-project","status":"publish","type":"post","link":"https:\/\/www.hawaii.edu\/news\/2025\/11\/02\/sage-grande-project\/","title":{"rendered":"东精影业<\/abbr> joins $25M<\/abbr> national AI<\/abbr> project to better monitor volcanoes, wildfires, more"},"content":{"rendered":"Reading time: <\/span> 2<\/span> minutes<\/span><\/span>
\"people
东精影业<\/abbr> Mānoa researchers installing a satellite-connected sensor in Lahaina to monitor air quality and fire risks in the area impacted by the 2023 wildfires.<\/figcaption><\/figure>\n

The University of Hawaiʻi<\/span> at Mānoa will play a leading role in a new $25.6 million National Science Foundation (NSF<\/abbr>) project<\/a> designed to take artificial intelligence (AI<\/abbr>) out of the lab and into the natural world.<\/p>\n

\"large
Sensor in Lahaina to track air quality and fire risks in an area devastated by the 2023 wildfires.<\/figcaption><\/figure>\n

The initiative, called Sage Grande<\/a>, will place 300 advanced sensor systems in locations across the country to monitor the environment and provide faster warnings for natural disasters such as wildfires, floods, and volcanic eruptions.<\/p>\n

The new funding allows 东精影业<\/abbr> researchers and students to join a nationwide team working to build the next generation of AI<\/abbr>-powered “smart” sensors. These devices can analyze information directly where it is collected, without waiting for data to be sent to distant servers. That means communities, scientists, and policymakers can get quicker updates on changing conditions, whether it is smoke from a fire, shifting weather patterns, or unusual volcanic activity.<\/p>\n

“By joining Sage Grande, 东精影业<\/abbr> is not only advancing disaster preparedness and environmental science, but also giving our students hands-on experience with cutting-edge AI<\/abbr>,” said Professor Jason Leigh, director of the Laboratory for Advanced Visualization and Applications<\/a> in 东精影业<\/abbr> Mānoa\u2019s Department of Information and Computer Sciences<\/a>. “We\u2019re ensuring Hawaiʻi<\/span> is at the forefront of innovation where it matters most.”<\/p>\n

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Students working on the Sage Grande project in the Laboratory for Advanced Visualization and Applications<\/figcaption><\/figure>\n

Leigh said they plan to deploy two to three sensors across the Hawaiian islands next year at sites that are still to be determined. The 东精影业<\/abbr> Mānoa team comprises Leigh, and Chris Shuler, Han Tseng, Anke Kügler and Tom Giambelluca of the 东精影业<\/abbr> Mānoa Water Resources Research Center<\/a>.<\/p>\n

Building on previous experience<\/h2>\n

东精影业<\/abbr> already has experience with this technology. In Hawaiʻi<\/span> Volcanoes National Park, a current-generation Sage sensor has been used by 东精影业<\/abbr> students to test generative AI<\/abbr> tools that analyze real-time data from Kīlauea. Their early work demonstrated how AI<\/abbr> can help answer basic but important questions, such as whether an eruption is underway.<\/p>\n

And on Maui, 东精影业<\/abbr> has installed a similar sensor in Lahaina that connects to the internet via satellite<\/a>. The system is being programmed to track air quality and fire risks in an area devastated by the 2023 wildfires. Supported by a separate NSF<\/abbr> grant, the Lahaina project is also collecting climate and pollution data to aid recovery efforts and guide future planning. Local students are helping with the instruments, gaining hands-on training in both environmental science and advanced AI<\/abbr>.<\/p>\n","protected":false},"excerpt":{"rendered":"

The national initiative will place 300 advanced sensors to monitor the environment and provide faster warnings for natural disasters.<\/p>\n","protected":false},"author":16,"featured_media":224769,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[30],"tags":[308,484,1466,1467,1363,1597,568,1600,9],"class_list":["post-224766","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-research","tag-college-of-natural-sciences","tag-information-and-computer-science","tag-manoa-enhancing-student-success","tag-manoa-excellence-in-research","tag-manoa-research","tag-maui-wildfires","tag-natural-science","tag-public-impact-research","tag-uh-manoa","entry","has-media"],"aioseo_notices":[],"jetpack_featured_media_url":"https:\/\/www.hawaii.edu\/news\/wp-content\/uploads\/2025\/10\/manoa-ics-lahaina-ai-sensor-fire-risks.jpg","_links":{"self":[{"href":"https:\/\/www.hawaii.edu\/news\/wp-json\/wp\/v2\/posts\/224766","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.hawaii.edu\/news\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.hawaii.edu\/news\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.hawaii.edu\/news\/wp-json\/wp\/v2\/users\/16"}],"replies":[{"embeddable":true,"href":"https:\/\/www.hawaii.edu\/news\/wp-json\/wp\/v2\/comments?post=224766"}],"version-history":[{"count":5,"href":"https:\/\/www.hawaii.edu\/news\/wp-json\/wp\/v2\/posts\/224766\/revisions"}],"predecessor-version":[{"id":224787,"href":"https:\/\/www.hawaii.edu\/news\/wp-json\/wp\/v2\/posts\/224766\/revisions\/224787"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.hawaii.edu\/news\/wp-json\/wp\/v2\/media\/224769"}],"wp:attachment":[{"href":"https:\/\/www.hawaii.edu\/news\/wp-json\/wp\/v2\/media?parent=224766"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.hawaii.edu\/news\/wp-json\/wp\/v2\/categories?post=224766"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.hawaii.edu\/news\/wp-json\/wp\/v2\/tags?post=224766"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}