CENSUS of cities: LCZ classification of cities (level 0) – workflow and initial results from various cities (2015)
- Authors:
- Bechtel,bejaminl
- Foley, Micheál
- Mills, Gerald
- Ching, Jason
- See, Linda
- Alexander, Paul
- O’Connor, Martin
- Albuquerque, Taciana
- Andrade, Maria de Fátima
- Brovelli, Maria
- Das, Debasish
- Fonte, Cidália C.
- Petit, Gwendall
- Hanif, Uzma
- Jimenez, José
- Lackner, Stefan
- Liu, Weibo
- Perera, Narein
- Rosni, Nur Aulia
- Theeuwes, Nathalie
- Gál, Tamás
- Autor USP: ANDRADE, MARIA DE FATIMA - IAG
- Unidade: IAG
- Subjects: CLIMATOLOGIA; CIDADES; CENSOS
- Language: Inglês
- Imprenta:
- Publisher: American Meteorological Society
- Publisher place: Boston
- Date published: 2015
- Source:
- Título: icuc9
- Conference titles: International Conference on Urban Climate
-
ABNT
BECHTEL, Bejaminl et al. CENSUS of cities: LCZ classification of cities (level 0) – workflow and initial results from various cities. 2015, Anais.. Boston: American Meteorological Society, 2015. . Acesso em: 11 jan. 2026. -
APA
Bechtel, bejaminl, Foley, M., Mills, G., Ching, J., See, L., Alexander, P., et al. (2015). CENSUS of cities: LCZ classification of cities (level 0) – workflow and initial results from various cities. In icuc9. Boston: American Meteorological Society. -
NLM
Bechtel bejaminl, Foley M, Mills G, Ching J, See L, Alexander P, O’Connor M, Albuquerque T, Andrade M de F, Brovelli M, Das D, Fonte CC, Petit G, Hanif U, Jimenez J, Lackner S, Liu W, Perera N, Rosni NA, Theeuwes N, Gál T. CENSUS of cities: LCZ classification of cities (level 0) – workflow and initial results from various cities. icuc9. 2015 ;[citado 2026 jan. 11 ] -
Vancouver
Bechtel bejaminl, Foley M, Mills G, Ching J, See L, Alexander P, O’Connor M, Albuquerque T, Andrade M de F, Brovelli M, Das D, Fonte CC, Petit G, Hanif U, Jimenez J, Lackner S, Liu W, Perera N, Rosni NA, Theeuwes N, Gál T. CENSUS of cities: LCZ classification of cities (level 0) – workflow and initial results from various cities. icuc9. 2015 ;[citado 2026 jan. 11 ] - Assessing the impact of PM2.5 on respiratory disease using artificial neural networks.
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