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Crowdsourced air temperatures contrast satellite measures of the urban heat island and its mechanisms
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Satellites overestimate urban heat islands.
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Cites
Breiman, L. (2001) · Machine Learning · doi:10.1023/a:1010933404324 · Cited by 133,538
Google Earth Engine: Planetary-scale geospatial analysis for everyone
Gorelick, N., Hancher, M., Dixon, M., Ilyushchenko, S., Thau, D., & Moore, R. (2017) · Remote Sensing of Environment · doi:10.1016/j.rse.2017.06.031 · Cited by 14,719
A protocol for data exploration to avoid common statistical problems: Data exploration
Zuur, A. F., Ieno, E. N., & Elphick, C. S. (2010) · Methods in Ecology and Evolution · doi:10.1111/j.2041-210x.2009.00001.x · Cited by 8,228
MODIS Collection 5 global land cover: Algorithm refinements and characterization of new datasets
Friedl, M. A., Sulla-Menashe, D., Tan, B., Schneider, A., Ramankutty, N., Sibley, A., & Huang, X. (2010) · Remote Sensing of Environment · doi:10.1016/j.rse.2009.08.016 · Cited by 3,473
Estimation and Inference of Heterogeneous Treatment Effects using Random Forests
Wager, S., & Athey, S. (2018) · Journal of the American Statistical Association · doi:10.1080/01621459.2017.1319839 · Cited by 2,917
Relative Importance for Linear Regression in R : The Package relaimpo
Grömping, U. (2006) · Journal of Statistical Software · doi:10.18637/jss.v017.i01 · Cited by 2,615
Death toll exceeded 70,000 in Europe during the summer of 2003
Robine, J.-M., Cheung, S. L. K., Le Roy, S., Van Oyen, H., Griffiths, C., Michel, J.-P., & Herrmann, F. R. (2007) · Comptes Rendus. Biologies · doi:10.1016/j.crvi.2007.12.001 · Cited by 2,127
A review on the generation, determination and mitigation of Urban Heat Island
RIZWAN, A. M., DENNIS, L. Y. C., & LIU, C. (2008) · Journal of Environmental Sciences · doi:10.1016/s1001-0742(08)60019-4 · Cited by 1,950
Strong contributions of local background climate to urban heat islands
Zhao, L., Lee, X., Smith, R. B., & Oleson, K. (2014) · Nature · doi:10.1038/nature13462 · Cited by 1,577
Self-citationOke, T. R., Mills, G., Christen, A., & Voogt, J. A. (2017) · Cambridge University Press eBooks · doi:10.1017/9781139016476 · Cited by 1,516
Surface Urban Heat Island Across 419 Global Big Cities
Peng, S., Piao, S., Ciais, P., Friedlingstein, P., Ottle, C., Bréon, F.-M., Nan, H., Zhou, L., & Myneni, R. B. (2012) · Environmental Science & Technology · doi:10.1021/es2030438 · Cited by 1,456
Global multi-resolution terrain elevation data 2010 (GMTED2010)
Danielson, J. J., & Gesch, D. B. (2011) · Open-File Report · doi:10.3133/ofr20111073 · Cited by 1,181
Satellite Remote Sensing of Surface Urban Heat Islands: Progress, Challenges, and Perspectives
Zhou, D., Xiao, J., Bonafoni, S., Berger, C., Deilami, K., Zhou, Y., Frolking, S., Yao, R., Qiao, Z., & Sobrino, J. A. (2018) · Remote Sensing · doi:10.3390/rs11010048 · Cited by 1,059
Copernicus Global Land Cover Layers—Collection 2
Buchhorn, M., Lesiv, M., Tsendbazar, N.-E., Herold, M., Bertels, L., & Smets, B. (2020) · Remote Sensing · doi:10.3390/rs12061044 · Cited by 884
Approaches to study Urban Heat Island – Abilities and limitations
Mirzaei, P. A., & Haghighat, F. (2010) · Building and Environment · doi:10.1016/j.buildenv.2010.04.001 · Cited by 764
A systematic review and scientific critique of methodology in modern urban heat island literature
Stewart, I. D. (2011) · International Journal of Climatology · doi:10.1002/joc.2141 · Cited by 752
Observed increase in local cooling effect of deforestation at higher latitudes
Lee, X., Goulden, M. L., Hollinger, D. Y., Barr, A., Black, T. A., Bohrer, G., Bracho, R., Drake, B., Goldstein, A., Gu, L., et al. (2011) · Nature · doi:10.1038/nature10588 · Cited by 725
Self-citationOn the energy impact of urban heat island and global warming on buildings
Santamouris, M. (2014) · Energy and Buildings · doi:10.1016/j.enbuild.2014.07.022 · Cited by 676
A review of remote sensing based actual evapotranspiration estimation
Zhang, K., Kimball, J. S., & Running, S. W. (2016) · WIREs Water · doi:10.1002/wat2.1168 · Cited by 676
Land management and land-cover change have impacts of similar magnitude on surface temperature
Luyssaert, S., Jammet, M., Stoy, P. C., Estel, S., Pongratz, J., Ceschia, E., Churkina, G., Don, A., Erb, K., Ferlicoq, M., et al. (2014) · Nature Climate Change · doi:10.1038/nclimate2196 · Cited by 624
Lawrimore, J. H., Menne, M. J., Gleason, B. E., Williams, C. N., Wuertz, D. B., Vose, R. S., & Rennie, J. (2011) · Journal of Geophysical Research · doi:10.1029/2011jd016187 · Cited by 598
Methods to Calculate the Heat Index as an Exposure Metric in Environmental Health Research
Anderson, G. B., Bell, M. L., & Peng, R. D. (2013) · Environmental Health Perspectives · doi:10.1289/ehp.1206273 · Cited by 573
Impact of urban heat island on regional atmospheric pollution
SARRAT, C., LEMONSU, A., MASSON, V, & GUEDALIA, D. (2006) · Atmospheric Environment · doi:10.1016/j.atmosenv.2005.11.037 · Cited by 559
MODIS detected surface urban heat islands and sinks: Global locations and controls
Clinton, N., & Gong, P. (2013) · Remote Sensing of Environment · doi:10.1016/j.rse.2013.03.008 · Cited by 521
Chakraborty, T., & Lee, X. (2019) · International Journal of Applied Earth Observation and Geoinformation · doi:10.1016/j.jag.2018.09.015 · Cited by 507
Self-citationInteractions between urban heat islands and heat waves
Zhao, L., Oppenheimer, M., Zhu, Q., Baldwin, J. W., Ebi, K. L., Bou-Zeid, E., Guan, K., & Liu, X. (2018) · Environmental Research Letters · doi:10.1088/1748-9326/aa9f73 · Cited by 488
Causal Interpretations of Black-Box Models
Zhao, Q., & Hastie, T. (2021) · Journal of Business & Economic Statistics · doi:10.1080/07350015.2019.1624293 · Cited by 462
Rozenfeld, H. D., Rybski, D., Andrade, J. S., Batty, M., Stanley, H. E., & Makse, H. A. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0807435105 · Cited by 426
Projecting global urban land expansion and heat island intensification through 2050
Huang, K., Li, X., Liu, X., & Seto, K. C. (2019) · Environmental Research Letters · doi:10.1088/1748-9326/ab4b71 · Cited by 414
Courault, D., Séguin, B., & Olioso, A. (2005) · Irrigation and Drainage Systems · doi:10.1007/s10795-005-5186-0 · Cited by 401
Mildrexler, D. J., Zhao, M., & Running, S. W. (2011) · Journal of Geophysical Research · doi:10.1029/2010jg001486 · Cited by 384
Urban heat island: Aerodynamics or imperviousness?
Li, D., Liao, W., Rigden, A. J., Liu, X., Wang, D., Malyshev, S., & Shevliakova, E. (2019) · Science Advances · doi:10.1126/sciadv.aau4299 · Cited by 383
Land surface skin temperature climatology: benefitting from the strengths of satellite observations
Jin, M., & Dickinson, R. E. (2010) · Environmental Research Letters · doi:10.1088/1748-9326/5/4/044004 · Cited by 378
Urban Heat Island: Mechanisms, Implications, and Possible Remedies
Phelan, P. E., Kaloush, K., Miner, M., Golden, J., Phelan, B., Silva, H., & Taylor, R. A. (2015) · Annual Review of Environment and Resources · doi:10.1146/annurev-environ-102014-021155 · Cited by 361
Ecologically-Relevant Maps of Landforms and Physiographic Diversity for Climate Adaptation Planning
Theobald, D. M., Harrison-Atlas, D., Monahan, W. B., & Albano, C. M. (2015) · PLOS ONE · doi:10.1371/journal.pone.0143619 · Cited by 303
A review of supervised machine learning algorithms and their applications to ecological data
Crisci, C., Ghattas, B., & Perera, G. (2012) · Ecological Modelling · doi:10.1016/j.ecolmodel.2012.03.001 · Cited by 297
Crowdsourcing air temperature from citizen weather stations for urban climate research
Meier, F., Fenner, D., Grassmann, T., Otto, M., & Scherer, D. (2017) · Urban Climate · doi:10.1016/j.uclim.2017.01.006 · Cited by 272
Urban impacts on precipitation
Han, J.-Y., Baik, J.-J., & Lee, H. (2014) · Asia-Pacific Journal of Atmospheric Sciences · doi:10.1007/s13143-014-0016-7 · Cited by 253
Hyperlocal mapping of urban air temperature using remote sensing and crowdsourced weather data
Venter, Z. S., Brousse, O., Esau, I., & Meier, F. (2020) · Remote Sensing of Environment · doi:10.1016/j.rse.2020.111791 · Cited by 245
Self-citationCooling hot cities: a systematic and critical review of the numerical modelling literature
Krayenhoff, E. S., Broadbent, A. M., Zhao, L., Georgescu, M., Middel, A., Voogt, J. A., Martilli, A., Sailor, D. J., & Erell, E. (2021) · Environmental Research Letters · doi:10.1088/1748-9326/abdcf1 · Cited by 241
Reachability Checking of Finite Precision Timed Automata
YAN, R.-J. (2006) · Journal of Software · doi:10.1360/jos170001 · Cited by 218
Impacts of temperature and its variability on mortality in New England
Shi, L., Kloog, I., Zanobetti, A., Liu, P., & Schwartz, J. D. (2015) · Nature Climate Change · doi:10.1038/nclimate2704 · Cited by 215
Amplified Urban Heat Islands during Heat Wave Periods
Jiang, S., Lee, X., Wang, J., & Wang, K. (2019) · Journal of Geophysical Research: Atmospheres · doi:10.1029/2018jd030230 · Cited by 208
Self-citationHo, H. C., Knudby, A., Xu, Y., Hodul, M., & Aminipouri, M. (2016) · Science of The Total Environment · doi:10.1016/j.scitotenv.2015.12.021 · Cited by 206
UrbClim – A fast urban boundary layer climate model
De Ridder, K., Lauwaet, D., & Maiheu, B. (2015) · Urban Climate · doi:10.1016/j.uclim.2015.01.001 · Cited by 201
Masson, V., Heldens, W., Bocher, E., Bonhomme, M., Bucher, B., Burmeister, C., de Munck, C., Esch, T., Hidalgo, J., Kanani-Sühring, F., et al. (2020) · Urban Climate · doi:10.1016/j.uclim.2019.100536 · Cited by 201
Linking green infrastructure to urban heat and human health risk mitigation in Oslo, Norway
Venter, Z. S., Krog, N. H., & Barton, D. N. (2020) · Science of The Total Environment · doi:10.1016/j.scitotenv.2019.136193 · Cited by 191
Self-citationWang, K., Jiang, S., Wang, J., Zhou, C., Wang, X., & Lee, X. (2017) · Journal of Geophysical Research: Atmospheres · doi:10.1002/2016jd025304 · Cited by 160
Self-citationHammerberg, K., Brousse, O., Martilli, A., & Mahdavi, A. (2018) · International Journal of Climatology · doi:10.1002/joc.5447 · Cited by 160
Lefèbvre, A., Sannier, C., & Corpetti, T. (2016) · Remote Sensing · doi:10.3390/rs8070606 · Cited by 156
Seasonal hysteresis of surface urban heat islands
Manoli, G., Fatichi, S., Bou-Zeid, E. R., & Katul, G. G. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1917554117 · Cited by 150
Cui, Y. Y., & de Foy, B. (2012) · Journal of Applied Meteorology and Climatology · doi:10.1175/jamc-d-11-0104.1 · Cited by 147
Assessment of urban heat islands: a satellite perspective
Gallo, K. P., Tarpley, J. D., McNab, A. L., & Karl, T. R. (1995) · Atmospheric Research · doi:10.1016/0169-8095(94)00066-m · Cited by 146
Napoly, A., Grassmann, T., Meier, F., & Fenner, D. (2018) · Frontiers in Earth Science · doi:10.3389/feart.2018.00118 · Cited by 136
Hass, A. L., Ellis, K. N., Mason, L. R., Hathaway, J. M., & Howe, D. (2016) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph13010117 · Cited by 104
Armstrong, B., Bell, M. L., Coêlho, M. D. S. Z. S., Guo, Y. L., Guo, Y., Goodman, P., Hashizume, M., Honda, Y., Kim, H., Lavigne, É., et al. (2017) · Environmental Health Perspectives · doi:10.1289/ehp1756 · Cited by 94
Carter, C., & Liang, S. (2019) · International Journal of Applied Earth Observation and Geoinformation · doi:10.1016/j.jag.2019.01.020 · Cited by 93
Zhang, P., Bounoua, L., Imhoff, M. L., Wolfe, R. E., & Thome, K. (2014) · Canadian Journal of Remote Sensing · doi:10.1080/07038992.2014.935934 · Cited by 89
Understanding Diurnality and Inter-Seasonality of a Sub-tropical Urban Heat Island
Chakraborty, T., Sarangi, C., & Tripathi, S. N. (2016) · Boundary-Layer Meteorology · doi:10.1007/s10546-016-0223-0 · Cited by 73
Self-citationAtmospheric changes in a growing community (the Columbia, Maryland experience)
Landsberg, H. E. (1979) · Urban Ecology · doi:10.1016/0304-4009(79)90023-8 · Cited by 58
Li, D., Malyshev, S. L., & Shevliakova, E. (2016) · Journal of Advances in Modeling Earth Systems · doi:10.1002/2015ms000578 · Cited by 54
Kwok, Y. T., & Ng, E. (2021) · Urban Climate · doi:10.1016/j.uclim.2021.100785 · Cited by 47
Choi, Y., Lee, S., & Moon, H. (2018) · Sustainability · doi:10.3390/su10124837 · Cited by 37
An approach to evaluate the intra-urban thermal variability in summer using an urban indicator
Massetti, L., Petralli, M., Brandani, G., & Orlandini, S. (2014) · Environmental Pollution · doi:10.1016/j.envpol.2014.04.026 · Cited by 21
Cited by
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Ge, S., Zhan, W., Li, J., Li, L., Dong, P., Li, X., Wang, C., Wang, C., & Gao, Y. (2025) · Sustainable Cities and Society · doi:10.1016/j.scs.2025.106701 · Cited by 4
Metadata
- Authors
- Venter, Z. S., Chakraborty, T., & Lee, X.
- Venue
- Science Advances
- Published
- 2021-05-28
- Volume
- 7
- Issue
- 22
- ISSN
- 2375-2548 (ISSN-L)
- OpenAlex
- W3164212919
- Cited by
- 317
- References
- 64
- FWCI
- 14.13
- Type
- journal article
- Language
- en
- Open access
- gold
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