arXiv Open Access 2022

Estimating Chicago's tree cover and canopy height using multi-spectral satellite imagery

John Francis Stephen Law

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Abstrak

Information on urban tree canopies is fundamental to mitigating climate change [1] as well as improving quality of life [2]. Urban tree planting initiatives face a lack of up-to-date data about the horizontal and vertical dimensions of the tree canopy in cities. We present a pipeline that utilizes LiDAR data as ground-truth and then trains a multi-task machine learning model to generate reliable estimates of tree cover and canopy height in urban areas using multi-source multi-spectral satellite imagery for the case study of Chicago.

Topik & Kata Kunci

eess.IV cs.CV

Penulis (2)

John Francis

Stephen Law

Format Sitasi

APA MLA BibTeX

Francis, J., Law, S. (2022). Estimating Chicago's tree cover and canopy height using multi-spectral satellite imagery. https://arxiv.org/abs/2212.05061

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Informasi Jurnal

Tahun Terbit: 2022
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓