Quantification of Carbon Sequestration in Urban Forests

Authors: Levente J. Klein, Wang Zhou, Conrad M. Albrecht

International Conference on Machine Learning (ICML 2021) Workshop
License: CC BY-NC-SA 4.0

Abstract: Vegetation, trees in particular, sequester carbon by absorbing carbon dioxide from the atmosphere. However, the lack of efficient quantification methods of carbon stored in trees renders it difficult to track the process. We present an approach to estimate the carbon storage in trees based on fusing multi-spectral aerial imagery and LiDAR data to identify tree coverage, geometric shape, and tree species -- key attributes to carbon storage quantification. We demonstrate that tree species information and their three-dimensional geometric shapes can be estimated from aerial imagery in order to determine the tree's biomass. Specifically, we estimate a total of $52,000$ tons of carbon sequestered in trees for New York City's borough Manhattan.

Submitted to arXiv on 01 Jun. 2021

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