Articles | Volume 14, issue 6
https://doi.org/10.5194/gmd-14-3521-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-14-3521-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model evaluation paper
| 
11 Jun 2021
Model evaluation paper |
| 11 Jun 2021
| 11 Jun 2021
A spatially explicit approach to simulate urban heat mitigation with InVEST (v3.8.0)
Urban and Regional Planning Community, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
Maxence Locatelli
Urban and Regional Planning Community, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
Perrine Hamel
Asian School of the Environment, Nanyang Technological University, Singapore, Singapore
Roy P. Remme
Natural Capital Project, Stanford University, Stanford, USA
Jérôme Chenal
Urban and Regional Planning Community, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
Stéphane Joost
Laboratory of Geographic Information Systems, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
Urban and Regional Planning Community, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
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Short summary
The article presents a novel approach to simulate urban heat mitigation from land use/land cover data based on three biophysical mechanisms: tree shade, evapotranspiration and albedo. An automated procedure is proposed to calibrate the model parameters to best fit temperature observations from monitoring stations. A case study in Lausanne, Switzerland, shows that the approach outperforms regressions based on satellite data and provides valuable insights into design heat mitigation policies.
The article presents a novel approach to simulate urban heat mitigation from land use/land cover...
