2022
DOI: 10.1016/j.scitotenv.2022.154570
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Does urban climate follow urban form? Analysing intraurban LST trajectories versus urban form trends in 3 cities with different background climates

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Cited by 31 publications
(15 citation statements)
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“…A good number of studies focused on LST trends in the landscapes [17]- [32], along with other trends like evapotranspiration [33,34], rainfall and vegetation [35], and water balance components like precipitation, snow cover and stream flows [34]. Studies of MODIS LST trends in urban areas or cities, especially larger in size, were also found [36]- [39]. In the urban/city, studies focused on UHI-urban heat island [40]- [43], SUHI-surface UHI [44]- [50], and urban expansion [51].…”
Section: A Modismentioning
confidence: 99%
“…A good number of studies focused on LST trends in the landscapes [17]- [32], along with other trends like evapotranspiration [33,34], rainfall and vegetation [35], and water balance components like precipitation, snow cover and stream flows [34]. Studies of MODIS LST trends in urban areas or cities, especially larger in size, were also found [36]- [39]. In the urban/city, studies focused on UHI-urban heat island [40]- [43], SUHI-surface UHI [44]- [50], and urban expansion [51].…”
Section: A Modismentioning
confidence: 99%
“…Thermal infrared remote sensing data is the basis for spatio-temporal urban hotspot analysis, contributing to more effective and targeted urban planning processes [43]. Urban hotspots were identified and calculated in conjunction with urban form dynamics and LST trajectories [44]; urban sprawl and LULC change patterns in the case of Indian metropolises [45]; as well as local climate zones to formulate potential heat mitigation zones during the urban planning phase [46]; or predicting urban hotspots contributes to sustainable resource management in future smart cities [47], to name just a few examples of the application of this phenomenon in various areas of urban research. Finally, the literature uses a generally accepted categorization of UTFVI zones [48] and converts these values into ecological assessment indices based on the local LST characteristics, ranging from the 'excellent' to 'worst' categories [49].…”
Section: Introductionmentioning
confidence: 99%
“…El análisis de dinámicas de cambio con sensores remotos puede hacer una potente contribución para monitorear el desarrollo urbano y sus implicaciones (Figura 1; Inostroza et al, 2013;. En la última década, un número creciente de trabajos científicos ha demostrado que el uso de imágenes de satélite y métodos de análisis geoestadístico permite identificar las tendencias y la heterogeneidad espacial de distintas dinámicas interrelacionadas de las ciudades, tales como la expansión física urbana, los cambios en la cobertura vegetal y la evolución de las islas de calor urbano (K. Huang et al, 2019;Lemoine-Rodríguez, Inostroza y Zepp, 2022a). En un escenario ideal, la información generada mediante este tipo de estudios debe ser considerada por los tomadores de decisiones para planear el desarrollo de las ciudades con base en evidencia empírica.…”
Section: Introductionunclassified