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Open AccessArticle

Developing General Equations for Urban Tree Biomass Estimation with High-Resolution Satellite Imagery

Department of Geography and the Environment, California State University Fullerton, Fullerton, CA 92831, USA
Sustainability 2019, 11(16), 4347; https://doi.org/10.3390/su11164347
Received: 25 July 2019 / Revised: 8 August 2019 / Accepted: 8 August 2019 / Published: 12 August 2019
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PDF [5814 KB, uploaded 13 August 2019]
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Abstract

Urban trees provide various important ecological services, the quantification of which is vital to sustainable urban development and requires accurate estimation of tree biomass. A limited number of allometric biomass equations, however, have been developed for urban species due to the prohibitive cost. Remote sensing has provided cost-effective means for estimating urban forest biomass, although the propagation of error in the estimation process is not well understood. This study aimed to offer a baseline assessment of the feasibility of estimating urban tree biomass with remote sensing-based general equations applicable to broad taxonomic groups by conducting a large urban tree inventory on a university campus. The biomasses of 191 trees of seven species from the inventory, separated into two categories (i.e., evergreen and deciduous), were calculated exclusively with urban-based species-specific allometric equations. WorldView-2 satellite imagery data were acquired to retrieve normalized difference vegetation index (NDVI) values at the location, crown, and stand levels. The results indicated that biomass correlated with NDVI in varying forms and degrees. The general equations at the crown level yielded the most accurate biomass estimates, while the location-level estimates were the least accurate. Crown-level spectral responses provided adequate information for delivering spatially explicit biomass estimation. View Full-Text
Keywords: urban trees; ecosystem services; dry weight; allometric equations; WordView-2; NDVI urban trees; ecosystem services; dry weight; allometric equations; WordView-2; NDVI
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Wu, J. Developing General Equations for Urban Tree Biomass Estimation with High-Resolution Satellite Imagery. Sustainability 2019, 11, 4347.

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