scholarly journals Where Does Nighttime Light Come From? Insights from Source Detection and Error Attribution

2020 ◽  
Vol 12 (12) ◽  
pp. 1922 ◽  
Author(s):  
Zhehao Ren ◽  
Yufu Liu ◽  
Bin Chen ◽  
Bing Xu
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Method Development ◽  
Infrared Imaging ◽  
Urban Land Use ◽  
Light Sources ◽  
Socioeconomic Indicators ◽  
Linear Unmixing ◽  
Nighttime Light ◽  
Urban Planning And Management

Nighttime light remote sensing has aroused great popularity because of its advantage in estimating socioeconomic indicators and quantifying human activities in response to the changing world. Despite many advances that have been made in method development and implementation of nighttime light remote sensing over the past decades, limited studies have dived into answering the question: Where does nighttime light come from? This hinders our capability of identifying specific sources of nighttime light in urbanized regions. Addressing this shortcoming, here we proposed a parcel-oriented temporal linear unmixing method (POTLUM) to identify specific nighttime light sources with the integration of land use data. Ratio of root mean square error was used as the measure to assess the unmixing accuracy, and parcel purity index and source sufficiency index were proposed to attribute unmixing errors. Using the Visible Infrared Imaging Radiometer Suite (VIIRS) nighttime light dataset from the Suomi National Polar-Orbiting Partnership (NPP) satellite and the newly released Essential Urban Land Use Categories in China (EULUC-China) product, we applied the proposed method and conducted experiments in two China cities with different sizes, Shanghai and Quzhou. Results of the POTLUM showed its relatively robust applicability of detecting specific nighttime light sources, achieving an rRMSE of 3.38% and 1.04% in Shanghai and Quzhou, respectively. The major unmixing errors resulted from using impure land parcels as endmembers (i.e., parcel purity index for Shanghai and Quzhou: 54.48%, 64.09%, respectively), but it also showed that predefined light sources are sufficient (i.e., source sufficiency index for Shanghai and Quzhou: 96.53%, 99.55%, respectively). The method presented in this study makes it possible to identify specific sources of nighttime light and is expected to enrich the estimation of structural socioeconomic indicators, as well as better support various applications in urban planning and management.

Environmental, Social, and Economic Indicators of Urban Land Use Conflicts

2018 ◽  
pp. 285-308
Author(s):  
Ufuk Fatih Kucukali ◽  
Lütfiye Kuşak
Keyword(s):  
Land Use ◽  
Social Indicators ◽  
Pairwise Comparison ◽  
Comparison Method ◽  
Environmental Indicators ◽  
Urban Land Use ◽  
Economic Indicators ◽  
Socioeconomic Indicators ◽  
Analytic Hierarchy ◽  
Land Use Conflicts

Due to the recent increase in population, urbanization in developing countries progressed to the outer fringes of the city and resulted in ecological and social problems. Especially land use conflicts resulting in such phenomena are characterized by pressures on the environment caused by ever-increasing anthropogenic factors subject to unplanned settlement, notably in heavily populated metropolitan areas. Despite the fact that Turkey is one of the countries, which this conflict intensively occurred. Studies on compliance of land use in Turkey with the zoning plans mainly consider socioeconomic indicators. This, in return, raises concerns over applicability and the rationality of the plans created. Three main indicators: environmental indicators, social indicators and economic indicators were selected and then estimated to retrieve the relative weights of the indicators was determined using Analytic Hierarchy Process (AHP) pairwise comparison method. Weighted linear combination (WLC) was carried out in the study.

Urban land use intensity assessment: The potential of spatio-temporal spectral traits with remote sensing

2018 ◽  
Vol 85 ◽  
pp. 190-203 ◽  
Author(s):  
Thilo Wellmann ◽  
Dagmar Haase ◽  
Sonja Knapp ◽  
Christoph Salbach ◽  
Peter Selsam ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Urban Land ◽  
Urban Land Use ◽  
Land Use Intensity ◽  
Intensity Assessment ◽  
Spatio Temporal

scholarly journals Land Use Simulation of Guangzhou Based on Nighttime Light Data and Planning Policies

2020 ◽  
Vol 12 (10) ◽  
pp. 1675
Author(s):  
Jieying Lao ◽  
Cheng Wang ◽  
Jinliang Wang ◽  
Feifei Pan ◽  
Xiaohuan Xi ◽  
...  
Keyword(s):  
Land Use ◽  
Infrared Imaging ◽  
Land Development ◽  
Urban Land ◽  
Scientific Basis ◽  
Land Use Patterns ◽  
Implementation Processes ◽  
Development Trajectory ◽  
Nighttime Light ◽  
Planning Policies

With the implementation processes of strategies such as Guangdong-Hong Kong-Macau Greater Bay Area’s coordinated development and “Belt and Road Initiative” initiative, the planning policies had produced a significant influence on land use distributions in Guangzhou. In this paper, we employ nighttime light (NTL) information as a proxy indicator of gross domestic product(GDP), and a future land use simulation model (FLUS) to simulate the land use patterns in Guangzhou from 2015 to 2018 and 2018 to 2035 by incorporating planning policies. The results show that: (1) the accuracy of simulation result from 2015 to 2018 based on National Polar-orbiting Partnership, Visible Infrared Imaging Radiometer Suite (NPP/VIIRS) is higher than that based on GDP; (2) by incorporating planning policies into the model can better identify the potential spatial distribution of urban land and make the simulated results more consistent with the actual urban land development trajectory. This study demonstrates that NTL is a suitable and feasible proxy indicator of GDP for the land use simulations, providing a scientific basis for the development of urban planning and construction policy.

scholarly journals The Exploration of Urban Material Anabolism Based on RS and GIS Methods: Case Study in Jinchang, China

2020 ◽  
Vol 12 (3) ◽  
pp. 370
Author(s):  
Shuqi He ◽  
Xingpeng Chen ◽  
Zilong Zhang ◽  
Zhaoyue Wang ◽  
Mengran Hu
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Metabolic Response ◽  
Land Use Changes ◽  
Central Business District ◽  
Urban Land ◽  
Urban Land Use ◽  
Urban Systems ◽  
Building Stock ◽  
High Resolution Satellite Images

As an open artificial ecosystem, the development of a city requires the continuous input and output of material and energy, which is called urban metabolism, and includes catabolic (material-flow) and anabolic (material-accumulation) processes. Previous studies have focused on the catabolic and ignored the anabolic process due to data and technology problems. The combination of remote-sensing technology and high-resolution satellite images facilitates the estimation of cumulative material amounts in urban systems. This study focused on persistent accumulation, which is the metabolic response of urban land use/urban land expansion, building stock, and road stock to land-use changes. Building stock is an extremely cost-intensive and long-lived component of cumulative metabolism. The study measured building stocks of Jinchang, China’s nickel capital by using remote-sensing images and field-research data. The development of the built environment could be analyzed by comparing the stock of buildings on maps representing different time periods. The results indicated that material anabolism in Jinchang is a distance-dependent function, where the amounts and rates of material anabolism decrease with changes in distance to the central business district (CBD) and city administration center (CAC). The cumulative metabolic rate and cumulative total metabolism were observed to be increasing, however, the growth rate has decreased.

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