How hyperspectral imaging enables comprehensive vegetation management and improved community health outcomes

In recent years, advances in high-density lidar and hyperspectral imagery have offered new tools to states and municipalities for vegetation management. Quantum Spatial’s Andrew Brenner and Zach Raymer describe the applications and outcomes of this emerging science in American City & County.

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One of the most important functions for lidar and hyperspectral imagery in city environments is to quantify canopy cover percentage. High canopy cover percentages are beneficial in slowing the flow of rainwater and reducing stress on storm water systems. In addition, understanding the health of all trees in a community enables local governments to manage threats such as invasive tree or insect species, and to assess potential fire risks in areas prone to forest fires. The data serves as an early-warning system, allowing state and regional agencies to conduct preventive maintenance and reduce the impact of natural disasters.

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Hyperspectral Imaging - Technically Speaking

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Accuracy Part 1- Technically Speaking

Our internal innovation and development team constantly analyzes new technology and develops solutions to meet our client’s challenges. Our Technically Speaking series is one way we share our technical findings with the professional community. 

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Trim Optimization Webinar Recording

NV5 Geospatial releases a new predictive modeling platform for vegetation management that uses existing lidar and historical data to identify the relative level of asset risk from trees by quantifying the potential for causing asset damage. 

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Topobathy Lidar - Technically Speaking

Our internal innovation and development team constantly analyzes new technology and develops solutions to meet our client’s challenges. Our Technically Speaking series is one way we share our technical findings with the professional community. 

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