Energy and urban form. The growth of European cities on the basis of night-time brightness

Nel·lo, Oriol; López, Joan Manuel Soriano; Martín, Jordi; Checa, Joan

doi:10.1016/j.landusepol.2016.11.007

Cited by 20 publications

(12 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…In view of both our intention to study the intensity of urban land uses and the common practice in research involving this type of image [18,30], we considered it appropriate to determine the threshold value at which the brightness of a lit surface area most accurately reflects the artificialization of the land. The images show that not all the pixels with light values above zero correspond to an area with uses that involve a permanent artificialization of the land.…”

Section: Methodology To Establish the Threshold Of Urban Lightmentioning

confidence: 99%

“…The methodology established in [18,30] was used to define this threshold. This procedure contrasts the light values of the satellite images with information about land cover derived from a reliable source.…”

Section: Methodology To Establish the Threshold Of Urban Lightmentioning

confidence: 99%

“…In order to explore this subject, our research takes advantage of a relatively new source that is particularly suited to a study of the intensity of the urbanization process: the nighttime satellite images of the Earth issued by the USA's National Oceanic and Atmospheric Administration (NOAA). Various authors have pointed out the potential of this source [14][15][16][17][18][19]. Starting from the assumption that the nighttime brightness revealed by these means is an anthropogenic phenomenon, then its analysis makes it possible to detect the presence of settlements and human activities (urban areas, communication routes and bridges, traces of fishing boats and ships, and other) and establish the relationships between the intensity of nighttime light, land use and a wide range of socioeconomic variables [14][15][16][17][18][19].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Urban Intensities. The Urbanization of the Iberian Mediterranean Coast in the Light of Nighttime Satellite Images of the Earth

Checa¹,

Nel·lo²

2018

Urban Science

Self Cite

View full text Add to dashboard Cite

The contribution shares the approach of critical urban studies that have conceptualized urbanization more as a process than as a sum of spatial forms. Thus, the contribution studies the urbanization process not only from the point of view of the physical occupation of land but also considers changes in the intensity of the uses of space. To fulfill this aim, the new sources of nocturnal satellite images are particularly useful. These allow us to observe the intensity of urban uses both in terms of their distribution over space and their recurrence over time. The research focuses on the Iberian Mediterranean coast and permits the verification of the intensity of the urban uses of the space for the whole of this area and their seasonal variations throughout the year. The source of the study are the nighttime satellite images of the Earth for the 2012–2017 period from the NASA SNPP satellite equipped with the VIIRS-DNB instrument. By establishing a threshold of urban light the research shows that those districts with the greatest extensions of urban light do not necessarily correspond with the most densely populated areas. Similarly the absence of urban light does not necessarily indicate the absence of urban uses. Finally, the variations of intensity of light prove to be a good indicator of seasonal variations of activity in tourist areas.

show abstract

Section: Methodology To Establish the Threshold Of Urban Lightmentioning

confidence: 99%

Section: Methodology To Establish the Threshold Of Urban Lightmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Urban Intensities. The Urbanization of the Iberian Mediterranean Coast in the Light of Nighttime Satellite Images of the Earth

Checa¹,

Nel·lo²

2018

Urban Science

Self Cite

View full text Add to dashboard Cite

show abstract

“…Though most urban TAOIs have noticeable NTL, it is not the case in the rural TAOIs. However, NTL presence ensures the existence of better infrastructure and facilities in the neighborhood [83,86]. Hence, NTL availability indicates crucial information useful for identifying prime touristic locations.…”

Section: Significance Of the Data Sources Usedmentioning

confidence: 99%

Using Volunteered Geographic Information and Nighttime Light Remote Sensing Data to Identify Tourism Areas of Interest

et al. 2019

View full text Add to dashboard Cite

Easy, economical, and near-real-time identification of tourism areas of interest is useful for tourism planning and management. Numerous studies have been accomplished to analyze and evaluate the tourism conditions of a place using free and near-real-time data sources such as social media. This study demonstrates the potential of volunteered geographic information, mainly Twitter and OpenStreetMap, for discovering tourism areas of interest. Active tweet clusters generated using Density-Based Spatial Clustering of Applications with Noise (DBSCAN) clustering algorithm and building footprint information are used to identify touristic places that ensure the availability of basic essential facilities for travelers. Furthermore, an investigation is made to examine the usefulness of nighttime light remotely sensed data to recognize such tourism areas. The study successfully discovered important tourism areas in urban and remote regions in Nepal which have relatively low social media penetration. The effectiveness of the proposed framework is examined using the F1 measure. The accuracy assessment showed F1 score of 0.72 and 0.74 in the selected regions. Hence, the outcomes of this study can provide a valuable reference for various stakeholders such as tourism planners, urban planners, and so on.

show abstract

“…At the same time, the space-time continuity of nighttime light data can effectively compensate for the shortcomings of incomplete traditional counting data and statistical gaps, and the processing of such data is more convenient. Currently, nighttime light data are widely used in urban spatial data mining, for example, in population estimation [22][23][24], GDP estimation [25,26], urban expansion monitoring [27][28][29], urban economic efficiency evaluation [30,31], the spatial characterization of urban development [32][33][34], and the spatiotemporal characterization of urbanization dynamics [35,36]. Various research results have shown that nighttime light correlates well with the various socioeconomic indicators of a city and can reflect the degree of economic activity in a city.…”

Section: Introductionmentioning

confidence: 99%

Urban Land Intensive Use Evaluation Study Based on Nighttime Light—A Case Study of the Yangtze River Economic Belt

et al. 2019

View full text Add to dashboard Cite

Urban land intensive use meets the requirements for the sustainable development of urban land and is an important part of urban sustainable development. The Yangtze River Economic Belt (YREB) spans the three major regions of China, which are the most active areas of China's economy. The contradiction between humans and land is becoming more acute. There are also regional differences in land use patterns affecting the coordinated development of the YREB and the construction of an ecological civilization. Therefore, the scientific evaluation of urban land intensive use is a key area in the current research field of urban sustainable development. In this study, the YREB is chosen as the research object, and urban land intensive use is studied using nighttime light data and statistical data on the urban built-up area. An evaluation model based on urban nighttime light intensity and land urbanization is constructed with an allometric growth model. Considering that the impact of land urbanization on urban nighttime light has a possible lag effect, an evaluation model of land intensive use that considers the lag effect between urban nighttime light and the land urbanization level is proposed. Using urban agglomerations and some typical cities in the study area as research samples, the characteristics of urban nighttime light and land urbanization are analyzed to reveal the spatial and temporal characteristics of land development in the YREB. The results show that nighttime light remote-sensing data can better reflect the level of urban land use, the allometric growth model can better fit the intensity of urban light and the land urbanization level, and the allometric growth characteristics can reflect the land use characteristics of different cities and urban agglomerations. In regional experiments with typical cities and with urban agglomerations, compared to the original allometric growth model, the goodness of fit of the allometric growth model with the lag effect improves, on average, by 3.2% and 2%, respectively, with the highest increases being by 9.9% and 4.9%, respectively. The level of intensive land use in the YREB gradually decreases from east to west, and there are great differences among different cities in the provinces and urban agglomerations. The lower reaches of the Yangtze River have high land intensive use on the whole. In the middle reaches, multicenter cities have a greater efficiency of land use than the surrounding cities. In the upper reaches, only Chengdu and Chongqing have clear advantages in urban land intensive use. The results of this study can be helpful in providing an important reference for the sustainable development of land in the YREB and can provide a basis for future urban land optimization and sustainable development. Realizing the coordination and linkage between key cities and major cities is the key to enhancing the overall sustainable development ability of the core cities in the YREB.

show abstract

Energy and urban form. The growth of European cities on the basis of night-time brightness

Cited by 20 publications

References 24 publications

Urban Intensities. The Urbanization of the Iberian Mediterranean Coast in the Light of Nighttime Satellite Images of the Earth

Urban Intensities. The Urbanization of the Iberian Mediterranean Coast in the Light of Nighttime Satellite Images of the Earth

Using Volunteered Geographic Information and Nighttime Light Remote Sensing Data to Identify Tourism Areas of Interest

Urban Land Intensive Use Evaluation Study Based on Nighttime Light—A Case Study of the Yangtze River Economic Belt

Contact Info

Product

Resources

About