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11 January 2021 Remote sensing for assessing vegetated roofs with a new replicable method in Paris, France
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Abstract

Vegetated roofs provide many ecosystem services and support urban biodiversity. While it would be interesting to study the contribution of vegetated roofs to ecological corridors, vegetated roofs are listed in no French databases. Because of their intrinsic nature as roofs, their small number, their small size, and the type of vegetation planted on them, vegetated roofs seem to be very difficult to identify. We propose a method to automatically identify vegetated roofs. Using infrared aerial photographs and building shape data, we were able to build a model detecting vegetated roofs using remote sensing and supervised classification techniques. The major difficulty lies in distinguishing between real vegetated roofs and roofs partially covered by tree foliage growing on the ground. In this operation, our classification model obtains an error rate of ∼18  %  . We improve the knowledge of vegetation detection in cities. Moreover, it opens interesting perspectives on the analysis of ecological networks in cities as a function of building height. In addition, it could be an interesting tool for municipalities to monitor urban vegetation development and to prioritize vegetated roofs planning.

© 2021 Society of Photo-Optical Instrumentation Engineers (SPIE) 1931-3195/2021/$28.00 © 2021 SPIE
Tanguy Louis-Lucas, Flavie Mayrand, Philippe Clergeau, and Nathalie Machon "Remote sensing for assessing vegetated roofs with a new replicable method in Paris, France," Journal of Applied Remote Sensing 15(1), 014501 (11 January 2021). https://doi.org/10.1117/1.JRS.15.014501
Received: 10 September 2020; Accepted: 21 December 2020; Published: 11 January 2021
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