{"id":337068,"date":"2025-07-30T14:48:54","date_gmt":"2025-07-30T14:48:54","guid":{"rendered":"https:\/\/bowman.com\/?post_type=news&p=337068"},"modified":"2025-07-30T14:48:55","modified_gmt":"2025-07-30T14:48:55","slug":"case-study-next-gen-dual-sensor-technology-transforms-tree-canopy-assessment-in-arlington-county-va","status":"publish","type":"news","link":"https:\/\/bowman.com\/news\/case-study-next-gen-dual-sensor-technology-transforms-tree-canopy-assessment-in-arlington-county-va","title":{"rendered":"CASE STUDY: Next-Gen Dual-Sensor Technology Transforms Tree Canopy Assessment in Arlington County, VA"},"content":{"rendered":"\n

Arlington County, Virginia prioritizes urban forestry<\/a> as a key component of its long-term planning. With over 755,000 trees contributing to the character of the community, habitat, pollution removal, carbon storage and stormwater management, its tree canopy is critical infrastructure.<\/p>\n\n\n\n

But protecting and enhancing such a valuable resource requires more than good intentions; it demands reliable, up-to-date data. To elevate the accuracy of its forestry data, Arlington County turned to Bowman to gather the detailed information needed to track trends, plan effectively and make data-driven decisions to support a healthier, more sustainable urban ecosystem.<\/p>\n\n\n\n

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Challenge: Limited Legacy Aerial Imagery<\/strong><\/h2>\n\n\n\n

Maintaining and enhancing this canopy required a more accurate, up-to-date and cost-effective method of monitoring tree coverage. Traditional aerial imagery from previous studies in 2008, 2011 and 2016, while useful, delivered data with only about 95% accuracy. Interest in increased accuracy since the last study led Arlington County to set a goal of 99% accuracy. This data was critical in reaching this goal.<\/p>\n\n\n\n

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Solution: Next-Gen Tree Canopy Analysis Using Dual-Sensor Technology<\/strong><\/h2>\n\n\n\n

Arlington County conducted a tree canopy study through a contract with Davey Resource Group, using data captured by Bowman through a dual-sensor approach<\/a>\u2014simultaneously collecting aerial imagery and lidar elevation data with a Teledyne Optech Galaxy T2000 lidar sensor and a Phase One digital frame camera. This novel method, flown at approximately 7,000 feet, provided 4-inch ground sample distance (GSD) imagery and QL2-grade lidar data (2+ points per square meter), processed into a 3D point cloud.<\/p>\n<\/div>\n<\/div>\n\n\n\n

<\/h2>\n\n\n\n

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Impact: High-Accuracy Data for Enhanced Tree Canopy Management<\/strong><\/h2>\n\n\n\n

Arlington County improved its ability to analyze and track tree canopy changes across time and neighborhoods using a newly integrated dataset with the increased accuracy. This data is now part of the county\u2019s geographic information system (GIS) and can be filtered by civic association, year and tree coverage percentage.<\/p>\n\n\n\n

Bowman\u2019s deliverables enhanced the county\u2019s ability to make informed, proactive decisions about urban tree canopy\u2014helping mitigate urban heat island effects, support biodiversity and improve the quality of life for residents.<\/p>\n\n\n\n

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\"\"<\/figure>\n<\/div>\n<\/div>\n","protected":false},"featured_media":337069,"template":"","news_tags":[195,172,262],"class_list":["post-337068","news","type-news","status-publish","has-post-thumbnail","hentry","news_tags-case-study","news_tags-orthoimagery","news_tags-virginia"],"yoast_head":"\nDual-Sensor Technology for Tree Canopy Assessment in Arlington County, VA<\/title>\n<meta name=\"description\" content=\"Arlington County tapped Bowman to gather the tree canopy data needed for data-driven decisions for a healthier, sustainable urban ecosystem.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/bowman.com\/news\/case-study-next-gen-dual-sensor-technology-transforms-tree-canopy-assessment-in-arlington-county-va\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" 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