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Cited by 30Urban Heat Island MitigationWind and Air Flow StudiesBuilding Energy and Comfort Optimization

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

GPU parallel computing for mapping urban outdoor heat exposure

Li, Xiaojiang, Wang, Guoqing·2021·Theoretical and Applied Climatology
DOI 10.1007/s00704-021-03692-z
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Crossref · 10.1007/s00704-021-03692-z

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Citations

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Research works printed but not linked: 27

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  2. Anderson MC (1964) Studies of the woodland light climate: I. The photographic computation of light conditions. J Ecol 27–41 · DOI
  3. Carrasco-Hernandez R, Smedley AR, Webb AR (2015) Using urban canyon geometries obtained from Google Street View for atmospheric studies: potential applications in the calculation of street level total shortwave irradiances. Energy Build 86:340–348 · DOI
  4. Dirksen M, Ronda RJ, Theeuwes NE, Pagani GA (2019) Sky view factor calculations and its application in urban heat island studies. Urban Clim 30:100498 · DOI
  5. Gal T, Lindberg F, Unger J (2009) Computing continuous sky view factors using 3D urban raster and vector databases: comparison and application to urban climate. Theoret Appl Climatol 95(1):111–123 · DOI
  6. Gong FY, Zeng ZC, Zhang F, Li X, Ng E, Norford LK (2018) Mapping sky, tree, and building view factors of street canyons in a high-density urban environment. Build Environ 134:155–167 · DOI
  7. Hammer J, Ruggieri DG, Thomas C, Caum J (2020) Local extreme heat planning: an interactive tool to examine a heat vulnerability index for Philadelphia, Pennsylvania. J Urban Health 97:519–528 · DOI
  8. Hämmerle M, Gál T, Unger J, Matzarakis A (2011) Comparison of models calculating the sky view factor used for urban climate investigations. Theoret Appl Climatol 105(3):521–527 · DOI
  9. Hondula DM, Davis RE, Leisten MJ, Saha MV, Veazey LM, Wegner CR (2012) Fine-scale spatial variability of heat-related mortality in Philadelphia County, USA, from 1983–2008: a case-series analysis. Environ Health 11(1):1–11 · DOI
  10. Li X, Ratti C (2019) Mapping the spatio-temporal distribution of solar radiation within street canyons of Boston using Google Street View panoramas and building height model. Landsc Urban Plann 191:103387 · DOI
  11. Li X, Ratti C, Seiferling I (2017) Mapping urban landscapes along streets using google street view. In International cartographic conference. Springer, Cham, pp. 341–356 · DOI
  12. Li X, Ratti C, Seiferling I (2018a) Quantifying the shade provision of street trees in urban landscape: a case study in Boston, USA, using Google Street View. Landsc Urban Plan 169:81–91 · DOI
  13. Li X, Cai BY, Ratti C (2018b) Using street-level images and deep learning for urban landscape studies. Landsc Architect Fron 6(2):20–30 · DOI
  14. Liang J, Gong J, Sun J, Zhou J, Li W, Li Y, ..., Shen S (2017) Automatic sky view factor estimation from street view photographs—a big data approach. Remote Sens 9(5): 411 · DOI
  15. Lindberg F, Grimmond CSB (2010) Continuous sky view factor maps from high resolution urban digital elevation models. Climate Res 42(3):177–183 · DOI
  16. Lindberg F, Grimmond CSB, Gabey A, Huang B, Kent CW, Sun T, ..., Zhang Z (2018) Urban Multi-scale Environmental Predictor (UMEP): an integrated tool for city-based climate services. Environ Model Softw 99:70-87 · DOI
  17. Matzarakis A, Rutz F, Mayer H (2007) Modelling radiation fluxes in simple and complex environments—application of the RayMan model. Int J Biometeorol 51(4):323–334 · DOI
  18. Matzarakis A, Rutz F, Mayer H (2010) Modelling radiation fluxes in simple and complex environments: basics of the RayMan model. Int J Biometeorol 54(2):131–139 · DOI
  19. Middel A, Lukasczyk J, Maciejewski R (2017) Sky view factors from synthetic fisheye photos for thermal comfort routing—a case study in Phoenix, Arizona. Urban Plan 2(1):19–30 · DOI
  20. Middel A, Lukasczyk J, Maciejewski R, Demuzere M, Roth M (2018) Sky View Factor footprints for urban climate modeling. Urban Clim 25:120–134 · DOI
  21. Middel A, Lukasczyk J, Zakrzewski S, Arnold M, Maciejewski R (2019) Urban form and composition of street canyons: a human-centric big data and deep learning approach. Landsc Urban Plan 183:122–132 · DOI
  22. Oke TR (1981) Canyon geometry and the nocturnal urban heat island: comparison of scale model and field observations. J Climatol 1(3):237–254 · DOI
  23. Ratti C, Richens P (2004) Raster analysis of urban form. Environ Plann B Plann Des 31(2):297–309 · DOI
  24. Ratti CF, Richens P (1999) Urban texture analysis with image processing techniques Proc CAADFutures99, Atlanta, GA · DOI
  25. Steyn DG (1980) The calculation of view factors from fisheye-lens photographs. Atmos Ocean 18(1980):254–258 · DOI
  26. Thorsson S, Rocklöv J, Konarska J, Lindberg F, Holmer B, Dousset B, Rayner D (2014) Mean radiant temperature–a predictor of heat related mortality. Urban Clim 10:332–345 · DOI
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Metadata

Authors
Li, X., & Wang, G.
Affiliations
  • Temple University (US)
  • Goddard Space Flight Center (US)
Corresponding author
Li, Xiaojiang
ORCID
Venue
Theoretical and Applied Climatology
Publisher
Springer Science and Business Media LLC
Published
2021-06-17
Volume
145
Issue
3-4
Pages
1101-1111
ISSN
  • 0066-6424 (ISSN-L)
  • 0177-798X
  • 1434-4483
DOI
10.1007/s00704-021-03692-z
OpenAlex
W3174622350
Cited by
30
References
1
Citations by year
2026: 10 · 2025: 9 · 2024: 6 · 2023: 2 · 2022: 3
FWCI
0.89
Type
journal article
Language
en
Open access
closed
Licence
Locations
Theoretical and Applied Climatology (publishedVersion)
Topics
  • Physical Sciences › Environmental Science › Environmental Engineering › Urban Heat Island Mitigation
  • Physical Sciences › Environmental Science › Environmental Engineering › Wind and Air Flow Studies
  • Physical Sciences › Engineering › Building and Construction › Building Energy and Comfort Optimization
Keywords
urban heat exposure, sky view factor, GPU parallel computing, mean radiant temperature, digital surface model, tree canopy cover, Philadelphia

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