A spatially explicit approach to simulate urban heat mitigation with InVEST (v3.8.0)

Bosch, Martí; Locatelli, Maxence; Hamel, Perrine; Remme, Roy P.; Chenal, Jérôme; Joost, Stéphane

doi:https://doi.org/10.5194/gmd-14-3521-2021

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.

https://doi.org/10.5194/gmd-14-3521-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 14, issue 6

Model evaluation paper

|

11 Jun 2021

Model evaluation paper |

| 11 Jun 2021

A spatially explicit approach to simulate urban heat mitigation with InVEST (v3.8.0)

Martí Bosch, Maxence Locatelli, Perrine Hamel, Roy P. Remme, Jérôme Chenal, and Stéphane Joost

Data sets

Datasets M. Bosch, M. Locatelli, P. Hamel, R. P. Remme, J. Chenal, and S. Joost https://doi.org/10.1101/2020.11.09.373779

Lausanne agglomeration extent Martí Bosch https://doi.org/10.5281/zenodo.4311544

Lausanne tree canopy Martí Bosch https://doi.org/10.5281/zenodo.4310112

Model code and software

martibosch/lausanne-heat-islands: GMD published (Version gmd-published) M. Bosch https://doi.org/10.5281/zenodo.4916285

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.