RT Conference Proceedings
T1 Identification and mapping of areas and buildings with high roof greening potential
A1 Gandini, Alessandra
A1 Navarro, Daniel
A1 Feliu, Efren
AB Climate change impacts are threatening sustainability and livability of cities, which are asked to respond from an integral perspective that combines mitigation adaptation through an evidence-based decision making. Nature-based solutions have been recognized as key in addressing environmental, social and economic challenges and benefits and effectiveness have been demonstrated in several studies. Specifically, green roofs have shown potential in urban areas, where space for new green infrastructure is often limited.The methodology described in this paper aims at providing results supporting decision-makers in sustainable development by estimating the potential for green coverage at rooftop identifying the most suitable locations. By the development of a Digital Surface Model based on LiDAR data and combination parameters related to land surface temperature, imperviousness, normalized difference vegetation index cadaster information, the method proposed generates two main results: the maximum green roof potential and the prioritization of green roofs. The application of the method to the city Donosti-San Sebastian is presented.
PB Institute of Electrical and Electronics Engineers Inc.
SN 9781665493734
YR 2023
FD 2023
LK https://hdl.handle.net/11556/2593
UL https://hdl.handle.net/11556/2593
LA eng
NO Gandini , A , Navarro , D & Feliu , E 2023 , Identification and mapping of areas and buildings with high roof greening potential . in 2023 Joint Urban Remote Sensing Event, JURSE 2023 . 2023 Joint Urban Remote Sensing Event, JURSE 2023 , Institute of Electrical and Electronics Engineers Inc. , 2023 Joint Urban Remote Sensing Event, JURSE 2023 , Heraklion , Greece , 17/05/23 . https://doi.org/10.1109/JURSE57346.2023.10144157
NO conference
NO Publisher Copyright: © 2023 IEEE.
NO ACKNOWLEDGMENT The authors wish to acknowledge funding from the European Commission through the CURE project (GA 870337).
DS TECNALIA Publications
RD 26 jul 2024