ADVANCING TREE ABOVE-GROUND BIOMASS ESTIMATION WITH TERRESTRIAL LIDAR - A STUDY OF NORTH TEXAS URBAN TREE SPECIES

Above-ground biomass (AGB) is a crucial metric for quantifying the carbon storage capacity of terrestrial ecosystems. Urban trees, in particular, are valued for substantial AGB storage. However, assessing above-ground biomass in urban environments is challenging due to the diverse and complex nature of tree forms, species variety, and heterogeneous land cover. Remote sensing technology, especially light detection and ranging (LiDAR), offers a promising solution for accurately measuring tree structures and assessing AGB at both individual tree and plot scales. This project utilizes terrestrial LiDAR measurements to develop new allometric models for different tree species on the Midwestern State University (MSU) campus, specifically around the Dillard Fountain. This model will account for tree structures typical of urban settings of North Texas. Cedar Elm and Red Oak tree species commonly found in North Texas are located at the study site the Dillard Fountain. To enhance accuracy, trees will be scanned both with and without foliage, allowing for comparative analysis and insights into the impact of leaves on AGB estimations. This approach aims to refine Above-ground biomass estimation methods in urban environments, providing valuable data for urban forestry management and carbon storage assessment.