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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- Quantifying the Heat Mitigation Capacity of Green-Blue Infrastructures in the Metropolis of Tehran F. Shoja et al. 10.61186/jgs.25.78.19
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- Analyzing inequities in vegetation cooling services along the urban-rural gradient using the LAI-integrated InVEST urban cooling model H. Lan et al. 10.1016/j.ufug.2024.128665
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- Parks Under Stress: Air Temperature Regulation of Urban Green Spaces Under Conditions of Drought and Summer Heat R. Kraemer & N. Kabisch 10.3389/fenvs.2022.849965
- Co-benefits of nature-based solutions exceed the costs of implementation A. González-García et al. 10.1016/j.crsus.2025.100336
- A combination of methods for mapping heat and cool areas in past and current urban landscapes of Poitiers (France) A. Jame et al. 10.1016/j.ecolind.2024.112712
- Evaluating the Impact of Green Spaces on Urban Heat Reduction in Rajshahi, Bangladesh Using the InVEST Model M. Rahman & J. Hasan 10.3390/land13081284
- Assessing multiple ecosystem services in 708 European urban areas C. Veerkamp et al. 10.1080/26395916.2024.2387006
- Comparing three spatial modeling tools for assessing urban ecosystem services C. Veerkamp et al. 10.1016/j.ecoser.2022.101500
- Impact of urban spatial dynamics and blue-green infrastructure on urban heat islands: A case study of Guangzhou using Local Climate Zones and predictive modeling Y. Liu et al. 10.1016/j.scs.2024.105819
- Geoinformatics based evaluation of heat mitigation strategies through urban green spaces in a rapidly growing city of India: implications for urban resilience K. Joshi et al. 10.1007/s00704-025-05411-4
- Calibrating and validating the Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) urban cooling model: case studies in France and the United States P. Hamel et al. 10.5194/gmd-17-4755-2024
- The importance of private gardens and their spatial composition and configuration to urban heat island mitigation C. Silveira et al. 10.1016/j.scs.2024.105589
- Evaluating urban greening scenarios for urban heat mitigation: a spatially explicit approach M. Bosch et al. 10.1098/rsos.202174
- Assessment of Heat Mitigation Services Provided by Blue and Green Spaces: An Application of the InVEST Urban Cooling Model with Scenario Analysis in Wuhan, China Y. Hu et al. 10.3390/land12050963
- Modeling the cooling effect of urban green spaces: The neglected control variables of ‘soil moisture’ and ‘biotope types’ H. Zepp et al. 10.1016/j.ufug.2023.128137
- Analysis of Heat Mitigation Capacity in a Coastal City using InVEST Urban Cooling Model J. Chung et al. 10.1016/j.scs.2024.105669
- Mapping the benefits of nature in cities with the InVEST software P. Hamel et al. 10.1038/s42949-021-00027-9
- Geoinformatics based evaluation of heat mitigation strategies through urban green spaces in a rapidly growing city of India: implications for urban resilience K. Joshi et al. 10.1007/s00704-025-05411-4
- Spatial analysis of Multi-level deprivation in urban settings of West Bengal A. Sarkar & P. Chouhan 10.1007/s10708-022-10576-w
20 citations as recorded by crossref.
- Quantifying the Heat Mitigation Capacity of Green-Blue Infrastructures in the Metropolis of Tehran F. Shoja et al. 10.61186/jgs.25.78.19
- Cooling Effects and Human Comfort of Constructed Wetlands in Desert Cities: A Case Study of Avondale, Arizona A. Brazel et al. 10.3390/su16135456
- Spatial distribution of heat vulnerability in Toronto, Canada S. Bu et al. 10.1016/j.uclim.2024.101838
- Analyzing inequities in vegetation cooling services along the urban-rural gradient using the LAI-integrated InVEST urban cooling model H. Lan et al. 10.1016/j.ufug.2024.128665
- Are soil sealing indicators sufficient to guide urban planning? Insights from an ecosystem services assessment in the Paris metropolitan area L. Tardieu et al. 10.1088/1748-9326/ac24d0
- A systematic review of urban heat island and heat waves research (1991–2022) S. Cheval et al. 10.1016/j.crm.2024.100603
- Parks Under Stress: Air Temperature Regulation of Urban Green Spaces Under Conditions of Drought and Summer Heat R. Kraemer & N. Kabisch 10.3389/fenvs.2022.849965
- Co-benefits of nature-based solutions exceed the costs of implementation A. González-García et al. 10.1016/j.crsus.2025.100336
- A combination of methods for mapping heat and cool areas in past and current urban landscapes of Poitiers (France) A. Jame et al. 10.1016/j.ecolind.2024.112712
- Evaluating the Impact of Green Spaces on Urban Heat Reduction in Rajshahi, Bangladesh Using the InVEST Model M. Rahman & J. Hasan 10.3390/land13081284
- Assessing multiple ecosystem services in 708 European urban areas C. Veerkamp et al. 10.1080/26395916.2024.2387006
- Comparing three spatial modeling tools for assessing urban ecosystem services C. Veerkamp et al. 10.1016/j.ecoser.2022.101500
- Impact of urban spatial dynamics and blue-green infrastructure on urban heat islands: A case study of Guangzhou using Local Climate Zones and predictive modeling Y. Liu et al. 10.1016/j.scs.2024.105819
- Geoinformatics based evaluation of heat mitigation strategies through urban green spaces in a rapidly growing city of India: implications for urban resilience K. Joshi et al. 10.1007/s00704-025-05411-4
- Calibrating and validating the Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) urban cooling model: case studies in France and the United States P. Hamel et al. 10.5194/gmd-17-4755-2024
- The importance of private gardens and their spatial composition and configuration to urban heat island mitigation C. Silveira et al. 10.1016/j.scs.2024.105589
- Evaluating urban greening scenarios for urban heat mitigation: a spatially explicit approach M. Bosch et al. 10.1098/rsos.202174
- Assessment of Heat Mitigation Services Provided by Blue and Green Spaces: An Application of the InVEST Urban Cooling Model with Scenario Analysis in Wuhan, China Y. Hu et al. 10.3390/land12050963
- Modeling the cooling effect of urban green spaces: The neglected control variables of ‘soil moisture’ and ‘biotope types’ H. Zepp et al. 10.1016/j.ufug.2023.128137
- Analysis of Heat Mitigation Capacity in a Coastal City using InVEST Urban Cooling Model J. Chung et al. 10.1016/j.scs.2024.105669
3 citations as recorded by crossref.
- Mapping the benefits of nature in cities with the InVEST software P. Hamel et al. 10.1038/s42949-021-00027-9
- Geoinformatics based evaluation of heat mitigation strategies through urban green spaces in a rapidly growing city of India: implications for urban resilience K. Joshi et al. 10.1007/s00704-025-05411-4
- Spatial analysis of Multi-level deprivation in urban settings of West Bengal A. Sarkar & P. Chouhan 10.1007/s10708-022-10576-w
Latest update: 25 Mar 2025
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...
