Remote sensing of urban green spaces: a review : A review

Shahtahmassebi, A.R. and Li, C. and Fan, Y. and Wu, Y. and lin, Y. and Gan, M. and Wang, K. and Malik, A. and Blackburn, G.A. (2021) Remote sensing of urban green spaces: a review : A review. Urban Forestry and Urban Greening, 57: 126946.

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A knowledge of the characteristics of urban green spaces (UGSs) such as their abundance, spatial distribution and species composition, has an important role in a range of fields such as urban geography, urban planning and public health. Remote sensing technologies have made great contributions to the analysis of UGSs. However, a comprehensive review of the current status, challenges and potential in this area is lacking. In this paper, we scrutinize major trends in remote sensing approaches for characterising UGSs and evaluate the effectiveness of different remote sensing systems and analytical techniques. The results suggest that the number of studies focusing on mapping UGSs and classifying species within UGSs have increased rapidly over recent decades. However, there are fewer examples of non-tree species mapping, change detection, biomass and carbon mapping and vegetation health assessment within UGSs. Most studies have focused on UGSs (mainly trees) which cover large areal extents, with fewer studies of smaller patches such as street trees, urban gardens, recreational spaces and public parks, even though collectively such patches can cover substantial areas. Hence, we encourage future investigations to focus on a wider variety of different UGSs, particularly small-scale UGSs. We also recommend that research focuses on developing more effective image time series analysis techniques, methods to capture the complexity of UGSs and the use of SAR in studies of UGSs. At the same time, further research is needed to fully exploit remote sensing data within thematic applications such as monitoring changes in UGSs over time, quantifying biomass and carbon mapping and assessing vegetation health.

Item Type:
Journal Article
Journal or Publication Title:
Urban Forestry and Urban Greening
Additional Information:
This is the author’s version of a work that was accepted for publication in Urban Forestry & Urban Greening. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Urban Forestry & Urban Greening, 57, 2021 DOI: 10.1016/j.ufug.2020.126946
Uncontrolled Keywords:
?? mappingremote sensingspecies classificationurban green spacesurban treesbiomasscomplexitygreenspaceimage analysismonitoring systemremote sensingspatial distributiontime series analysisecologysoil scienceforestry ??
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Deposited On:
21 Jan 2021 10:22
Last Modified:
15 Jul 2024 21:20