16 citations as recorded by crossref.

1. Stadtklima W. Kuttler 10.1065/uwsf2004.08.083
2. Toward Large‐Eddy Simulations of Dust Devils of Observed Intensity: Effects of Grid Spacing, Background Wind, and Surface Heterogeneities S. Giersch et al. 10.1029/2019JD030513
3. Energy and radiation balance of a central European city A. Christen & R. Vogt 10.1002/joc.1074
4. An urban energy balance-guided machine learning approach for synthetic nocturnal surface Urban Heat Island prediction: A heatwave event in Naples A. Oliveira et al. 10.1016/j.scitotenv.2021.150130
5. Integrating Urban Heat Assessment in Urban Plans L. Echevarría Icaza et al. 10.3390/su8040320
6. Airborne thermal remote sensing: the case of the city of Olomouc, Czech Republic T. Pour et al. 10.1080/22797254.2018.1564888
7. Using green infrastructure for urban climate-proofing: An evaluation of heat mitigation measures at the micro-scale T. Zölch et al. 10.1016/j.ufug.2016.09.011
8. The Potential of Utilizing Air Temperature Datasets from Non-Professional Meteorological Stations in Brno and Surrounding Area K. Dejmal et al. 10.3390/s19194172
9. Exploring pathways linking greenspace to health: Theoretical and methodological guidance I. Markevych et al. 10.1016/j.envres.2017.06.028
10. Urban radiation balance of two coastal cities in a hot and dry environment C. Frey et al. 10.1080/01431160600993389
11. Stadtklima W. Kuttler 10.1065/uwsf2004.03.078
12. Impact of changes in surface cover on energy balance in a tropical city by remote sensing: A study case in Brazil N. Machado et al. 10.1016/j.rsase.2020.100373
13. Estimating heat storage in urban areas using multispectral satellite data and machine learning J. Hrisko et al. 10.1016/j.rse.2020.112125
14. Role of Surface Energy Fluxes in Urban Overheating Under Buoyancy‐Driven Atmospheric Conditions Y. Back et al. 10.1029/2023JD039723
15. Regarding Some Pitfalls in Urban Heat Island Studies Using Remote Sensing Technology E. Parlow 10.3390/rs13183598
16. Modelling the ground heat flux of an urban area using remote sensing data G. Rigo & E. Parlow 10.1007/s00704-006-0279-8