Understanding an urbanizing planet: Strategic directions for remote sensing

Zhu, Zhe; Zhou, Yuyu; Seto, Karen C.; Stokes, Eleanor; Deng, Chengbin; Pickett, Steward T. A.; Taubenböck, Hannes

doi:10.1016/j.rse.2019.04.020

Cited by 287 publications

(191 citation statements)

References 251 publications

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“…PLANHEAT's HD and CD dataset is an example of solution-oriented research that provides place-based results with practical utility. This, according to Zhu et al [51], is an important precondition for practitioners to use urban science and urban remote sensing. To that end, PLANHEAT's HD and CD have already been used in [5] so as to calculate the current hourly thermal energy demand of each building in Antwerp's historic city center.…”

Section: Discussionmentioning

confidence: 99%

PLANHEAT’s Satellite-Derived Heating and Cooling Degrees Dataset for Energy Demand Mapping and Planning

et al. 2019

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The urban heat island (UHI) effect influences the heating and cooling (H&C) energy demand of buildings and should be taken into account in H&C energy demand simulations. To provide information about this effect, the PLANHEAT integrated tool—which is a GIS-based, open-source software tool for selecting, simulating and comparing alternative low-carbon and economically sustainable H&C scenarios—includes a dataset of 1 × 1 km hourly heating and cooling degrees (HD and CD, respectively). HD and CD are energy demand proxies that are defined as the deviation of the outdoor surface air temperature from a base temperature, above or below which a building is assumed to need heating or cooling, respectively. PLANHEAT’s HD and CD are calculated from a dataset of gridded surface air temperatures that have been derived using satellite thermal data from Meteosat-10 Spinning Enhanced Visible and Near-Infrared Imager (SEVIRI). This article describes the method for producing this dataset and presents the results for Antwerp (Belgium), which is one of the three validation cities of PLANHEAT. The results demonstrate the spatial and temporal information of PLANHEAT’s HD and CD dataset, while the accuracy assessment reveals that they agree well with reference values retrieved from in situ surface air temperatures. This dataset is an example of application-oriented research that provides location-specific results with practical utility.

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Section: Discussionmentioning

confidence: 99%

PLANHEAT’s Satellite-Derived Heating and Cooling Degrees Dataset for Energy Demand Mapping and Planning

et al. 2019

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“…Despite the plethora of new urban typologies, most of them have either focused on or utilized information on outward, 2D growth (Wentz et al 2014, Andrade-Núñez and Aide 2018, Zhu et al 2019. Likewise, most remote sensing algorithms developed to map urban land expansion have focused on outward urban growth and not volumetric growth or growth in vertical structure (Reba and Seto 2019).…”

Section: Introductionmentioning

confidence: 99%

Building up or spreading out? Typologies of urban growth across 478 cities of 1 million+

Mahtta

Mahendra

Seto

2019

Environ. Res. Lett.

140

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Urban form in both two-(2D) and three-dimensions (3D) has significant impacts on local and global environments. Here we developed the largest global dataset characterizing 2D and 3D urban growth for 478 cities with populations of one million or larger. Using remote sensing data from the SeaWinds scatterometer for 2001 and 2009, and the Global Human Settlement Layer for 2000 and 2014, we applied a cluster analysis and found five urban growth typologies: stabilized, outward, mature upward, budding outward, upward and outward. Budding outward is the dominant typology worldwide, per the largest total area. Cities characterized by upward and outward growth are few in number and concentrated primarily in China and South Korea, where there has been a large increase in high-rises during the study period. With the exception of East Asia, cities within a geographic region exhibit remarkably similar patterns of urban growth. Our results show that every city exhibits multiple urban growth typologies concurrently. Thus, while it is possible to describe a city by its dominant urban growth typology, a more accurate and comprehensive characterization would include some combination of the five typologies. The implications of the results for urban sustainability are multifold. First, the results suggest that there is considerable opportunity to shape future patterns of urbanization, given that most of the new urban growth is nascent and low magnitude outward expansion. Second, the clear geographic patterns and wide variations in the physical form of urban growth, within country and city, suggest that markets, national and subnational policies, including the absence of, can shape how cities grow. Third, the presence of different typologies within each city suggests the need for differentiated strategies for different parts of a single city. Finally, the new urban forms revealed in this analysis provide a first glimpse into the carbon lock-in of recently constructed energy-demanding infrastructure of urban settlements.

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“…Often analyses in geography [118] and medicine [2] focus on the largest urban entities on different scales. Thus, studies are mainly conducted in well-known cities, such as Dhaka, Mumbai, or Nairobi, and in well-known slums, such as Kibera in Nairobi or Dharavi in Mumbai.…”

Section: Conclusion Of Reviewsmentioning

confidence: 99%

“…Thus, studies are mainly conducted in well-known cities, such as Dhaka, Mumbai, or Nairobi, and in well-known slums, such as Kibera in Nairobi or Dharavi in Mumbai. However, this does not take into account the majority of the population, since urbanization processes mainly take place in medium-sized cities [118] or medium-sized slums [37].…”

Section: Conclusion Of Reviewsmentioning

confidence: 99%

Slums, Space, and State of Health—A Link between Settlement Morphology and Health Data

Friesen

Dietrich

et al. 2020

IJERPH

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Approximately 1 billion slum dwellers worldwide are exposed to increased health risks due to their spatial environment. Recent studies have therefore called for the spatial environment to be introduced as a separate dimension in medical studies. Hence, this study investigates how and on which spatial scale relationships between the settlement morphology and the health status of the inhabitants can be identified. To this end, we summarize the current literature on the identification of slums from a geographical perspective and review the current literature on slums and health of the last five years (376 studies) focusing on the considered scales in the studies. We show that the majority of medical studies are restricted to certain geographical regions. It is desirable that the number of studies be adapted to the number of the respective population. On the basis of these studies, we develop a framework to investigate the relationship between space and health. Finally, we apply our methodology to investigate the relationship between the prevalence of slums and different health metrics using data of the global burden of diseases for different prefectures in Brazil on a subnational level.

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Understanding an urbanizing planet: Strategic directions for remote sensing

Cited by 287 publications

References 251 publications

PLANHEAT’s Satellite-Derived Heating and Cooling Degrees Dataset for Energy Demand Mapping and Planning

PLANHEAT’s Satellite-Derived Heating and Cooling Degrees Dataset for Energy Demand Mapping and Planning

Building up or spreading out? Typologies of urban growth across 478 cities of 1 million+

Slums, Space, and State of Health—A Link between Settlement Morphology and Health Data

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