Income Driven Patterns of the Urban Environment

Gusso, Anibal; Silva, André; Boland, John; Lenz, Leticia; Philipp, Conrad H.

doi:10.3390/su9020275

Cited by 3 publications

(4 citation statements)

References 57 publications

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“…Based on the correlation analyses, global studies have looked at a limited number of spectral indices, to analyze the influence of land cover on temperature since vegetation cover, surface soil water content and impervious surface cover are known to be determinants of LST (Leconte et al, 2015;Van Hove et al, 2015;Gusso et al, 2017;Alexander, 2020). Although vegetation cover is known to reduce LST, vegetation types may differ in their ability to reduce surface temperature (Sussman et al, 2019) because trees lower surface and air temperature by shading in addition to evapotranspiration.…”

Section: Discussionmentioning

confidence: 99%

Spatiotemporal variability of urban heat island: Influence of urbanization on seasonal pattern of land surface temperature in the Metropolitan Region of Belém, Brazil

Souto

Cohen

2021

urbe, Rev. Bras. Gest. Urbana

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Cities experience the extensive urban heat island effect (UHI), which continue to pose challenges for humanity's increasingly urban population, where tropical cities have experienced a continued and rapid urbanization process in the past few decades. We present the evolution of surface UHI and its controlling factors in the Metropolitan Region of Belém, over the last 16 years (2003-2018), which has experienced unique consolidated economic growth and urban transformation under wet equatorial climate. We incorporate MODIS and Landsat satellite data and evaluate statistical techniques for estimates the variation in the land surface temperature (LST) during two seasons: wet season and dry season. Our result revealed that the regions of fast urbanization resulted in a decrease of normalized difference vegetation index and increase of LST. In addition, annual maps showed the spatial pattern of surface UHI intensities were produced based on daytime and nighttime temperature, and the analysis result indicated that the spatial distribution of high heat capacity was closely related with the densely built-up areas. These findings are helpful for understanding the urbanization process as well as urban ecology, which both have significant implications for urban planning and minimize the potential environmental impacts of urbanization in Metropolitan Region of Belém.

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Section: Discussionmentioning

confidence: 99%

Spatiotemporal variability of urban heat island: Influence of urbanization on seasonal pattern of land surface temperature in the Metropolitan Region of Belém, Brazil

Souto

Cohen

2021

urbe, Rev. Bras. Gest. Urbana

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“…Se ha elegido como factor explicativo de LST por el alto grado de sensibilidad ocasionado por la interacción entre la radiación solar y la cubierta vegetal (Le & Liou, 2021). De acuerdo con Gusso et al, (2017) Las propiedades térmicas del suelo varían según el contenido de humedad, así mismo, las superficies impermeables poseen alta capacidad calórica y conductividad térmica que pueden generar desequilibrios en el control de temperatura de los cuerpos con su entorno, por este motivo se han elegido NDBI y NDWI. También se produjeron mapas de proximidad a cuerpos de agua (PW) y al centro urbano (PUC), el primero justificado porque su influencia resulta significativa en la transformación del calor latente, proporcionando enfriamiento a través de la evaporación (Gupta et al, 2019).…”

Section: Definición De Factores Biofísicosunclassified

Análisis Espaciotemporal Del Fenómeno Islas De Calor Urbano Y Su Relación Con Factores Biofísicos Extraídos De Imágenes Multiespectrales Usando Técnicas Pca — MLR

Garzón

Molina

Velasco

2021

Encuentro Internacional De Educación en Ingeniería ACOFI 2021

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Los estudios que relacionan el creciente fenómeno de urbanización y medio ambiente térmico atraen la mirada de muchos científicos alrededor del mundo. La temperatura de la superficie terrestre es considerada una variable biofísica fundamentales para una amplia variedad de estudios de la atmósfera superficial. El fenómeno de Islas de Calor Urbano Superficial (SUHI) se refiere al aumento térmico de las áreas urbanas frente a las rurales circundantes, asociado a la capacidad de retención de energía calórica de los materiales de construcción. Este estudio investigó la influencia de la urbanización en el entorno térmico urbano, así como las relaciones de la temperatura superficial terrestre con otras variables biofísicas en Cartago-Colombia, usando 37 imágenes de las series Landsat TM/ETM + y OLI/TIRS adquiridas entre 2001 y 2020. La metodología para la caracterización del fenómeno utilizó técnicas estadísticas de Análisis de Componentes Principales (PCA) y Regresión Lineal Múltiple (MLR), que permitieron detectar las tendencias térmicas espaciotemporales y definir el aporte de cada variable sobre el modelo. Se evaluaron las técnicas de Aprendizaje Automático: Support Vector Machine y Random Forest para la identificación de zonas con propiedades térmicas similares. La ciudad ha experimentado un aumento de 2.7 °C entre la última década y la anterior. Los resultados de las métricas de calidad de los clasificadores indicaron que la caracterización del fenómeno fue confiable. La información de los patrones térmicos multitemporales, y la identificación de zonas extremadamente calientes sobre los paisajes urbanos, podrían ser de interés para los planificadores del territorio que buscan minimizar los efectos del fenómeno SUHI.

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“…According to the World Urbanization Prospects, 55% of the world’s people live in urban areas in today’s world [1]. Urban growth induces the modification of natural land cover and the biophysical environment [2,3], which significantly influences the local and global ecosystems and the services they provide to human and other life on earth [4,5]. China, as a developing country and a major emerging economy in the world, had been urbanizing at a record speed with rapid economic development during the past three decades, which had also led to a range of environmental issues [6].…”

Section: Introductionmentioning

confidence: 99%

“…The growth of cities and towns together with the associated increase in their ecological footprint are the most serious ecological problems facing the world [10]. Improving human well-being and preserving the ecological conditions within and beyond urban areas is a great challenge [4]. Thus, understanding the variation patterns of ecological conditions during the past and present at both local and global scales is necessary to address sustainable development and to avoid negative consequences [11].…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal Characteristics of Ecological Conditions and Its Response to Natural Conditions and Human Activities during 1990–2010 in the Yangtze River Delta, China

Meng

Liu

She

et al. 2018

IJERPH

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The Yangtze River Delta (YRD) region, including Shanghai City and the Jiangsu and Zhejiang Provinces, is the largest metropolitan region in China. In the past three decades, the region has experienced an unprecedented process of rapid and massive urbanization, which has dramatically altered the landscape and detrimentally affected the ecological environments in the region. In this paper, we analyzed the spatiotemporal variations of ecological conditions (Eco_C) via a synthetic index with analytic hierarchy processes in the YRD during 1990–2010. The relative contributions of influencing factors, including two natural conditions (i.e., elevation (Elev) and land-sea gradient (Dis_coa)), three indicators of human activities (i.e., urbanization rate (Urb_rate), per capita GDP (Per_gdp), the percentage of secondary and tertiary industry employment (Per_ind)), to the total variance of regional Eco_C were also investigated. The results showed that: (1) The Eco_C over YRD region was “Moderately High”, which was better than the national average and demonstrated obvious spatial variations between south and north. There existed fluctuations and an overall increasing trend for Eco_C during the study period, with 20% of the area being deteriorated and 40% being improved. (2) The areas with elevation below 10 m was relatively poor in Eco_C, while the regions above 1000 m showed the best Eco_C and had the most obvious changes (9.33%) during the study period. (3) The selected five influencing factors could explain 91.0–94.4% of the Eco_C spatial variability. Elevation was the dominant factor for about 42.4–52.9%, while urbanization rate and per capita GDP were about 32.5% and 9.3%.

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Income Driven Patterns of the Urban Environment

Cited by 3 publications

References 57 publications

Spatiotemporal variability of urban heat island: Influence of urbanization on seasonal pattern of land surface temperature in the Metropolitan Region of Belém, Brazil

Spatiotemporal variability of urban heat island: Influence of urbanization on seasonal pattern of land surface temperature in the Metropolitan Region of Belém, Brazil

Análisis Espaciotemporal Del Fenómeno Islas De Calor Urbano Y Su Relación Con Factores Biofísicos Extraídos De Imágenes Multiespectrales Usando Técnicas Pca — MLR

Spatiotemporal Characteristics of Ecological Conditions and Its Response to Natural Conditions and Human Activities during 1990–2010 in the Yangtze River Delta, China

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