scholarly journals Identification of Polycentric Cities in China Based on NPP-VIIRS Nighttime Light Data

2020 ◽  
Vol 12 (19) ◽  
pp. 3248
Author(s):  
Mingguo Ma ◽  
Qin Lang ◽  
Hong Yang ◽  
Kaifang Shi ◽  
Wei Ge
Keyword(s):  
Spatial Scale ◽  
City Planning ◽  
Infrared Imaging ◽  
Terrain Analysis ◽  
Urban Centers ◽  
Large Spatial Scale ◽  
Nighttime Light Data ◽  
Digital Elevation ◽  
Nighttime Light ◽  
Elevation Model

Nighttime light data play an important role in the research on cities, while the urban centers over a large spatial scale are still far from clearly understood. Aiming at the current challenges in monitoring the spatial structure of cities using nighttime light data, this paper proposes a new method for identifying urban centers for massive cities at the large spatial scale based on the brightness information captured by the Suomi National Polar-Orbiting Partnership’s Visible Infrared Imaging Radiometer Suite (NPP-VIIRS) sensor. Based on the method for extracting the peak point based on digital elevation model (DEM) data in terrain analysis, the maximum neighborhood and difference algorithms were applied to the NPP-VIIRS data to extract the pixels with the peak nighttime light intensity to identify the potential locations of urban centers. The results show 7239 urban centers in 2200 cities in China in 2017, with an average of 3.3 urban centers per city. Approximately 68% of the cities had significant polycentric structures. The developed method in this paper is useful for identifying the urban centers and can provide the reference to the city planning and construction.

scholarly journals Identification of Shrinkage and Growth Patterns of a Shrinking City in China Based on Nighttime Light Data: A Case Study of Yichun

2019 ◽  
Vol 11 (24) ◽  
pp. 6906 ◽  
Author(s):  
Ying Zhou ◽  
Chenggu Li ◽  
Zuopeng Ma ◽  
Shuju Hu ◽  
Jing Zhang ◽  
...  
Keyword(s):  
Satellite Images ◽  
Infrared Imaging ◽  
Demographic Data ◽  
Growth Patterns ◽  
Nighttime Light Data ◽  
Nighttime Light ◽  
Urban Science ◽  
New Perspective ◽  
Shrinking City

Urban shrinkage has become a topic of major concern to scholars of geography and urban science. However, the methods of identifying urban shrinkage and growth have mostly focused on traditional statistical methods, and studies based on nighttime light (NTL) data are rare. Here, we use the NTL data for 56 months from 2012 to 2019 obtained by the Visible Infrared Imaging Radiometer Suite (VIIRS) on board the Suomi National Polar Orbiting Partnership (NPP) to identify the shrinkage and growth patterns of Yichun in China, by calculating the slope of the NTL radiance value after denoising. At the same time, by combining high-resolution Google satellite images and traditional demographic data, we analyzed the shrinkage characteristics of Yichun. The results of the study confirmed the characteristics of partial shrinkage in China’s shrinking cities. In addition, the use of NPP-VIIRS NTL data was able to more accurately identify the urban shrinkage and growth patterns, and may also be seen to present a more objective picture of reality, thus providing a new perspective for studies of urban shrinkage.

scholarly journals Does China’s Urban Development Satisfy Zipf’s Law? A Multiscale Perspective from the NPP-VIIRS Nighttime Light Data

2020 ◽  
Vol 17 (4) ◽  
pp. 1460 ◽  
Author(s):  
Yizhen Wu ◽  
Mingyue Jiang ◽  
Zhijian Chang ◽  
Yuanqing Li ◽  
Kaifang Shi
Keyword(s):  
Urban Development ◽  
Infrared Imaging ◽  
Multiple Scales ◽  
Decision Makers ◽  
Zipf’S Law ◽  
Zipf's Law ◽  
Nighttime Light Data ◽  
Nighttime Light ◽  
Zipf Law ◽  
The Ideal

Currently, whether the urban development in China satisfies Zipf’s law across different scales is still unclear. Thus, this study attempted to explore whether China’s urban development satisfies Zipf’s law across different scales from the National Polar-Orbiting Partnership’s Visible Infrared Imaging Radiometer Suite (NPP-VIIRS) nighttime light data. First, the NPP-VIIRS data were corrected. Then, based on the Zipf law model, the corrected NPP-VIIRS data were used to evaluate China’s urban development at multiple scales. The results showed that the corrected NPP-VIIRS data could effectively reflect the state of urban development in China. Additionally, the Zipf index (q) values, which could express the degree of urban development, decreased from 2012 to 2018 overall in all provinces, prefectures, and counties. Since the value of q was relatively close to 1 with an R2 value > 0.70, the development of the provinces and prefectures was close to the ideal Zipf’s law state. In all counties, q > 1 with an R2 value > 0.70, which showed that the primate county had a relatively stronger monopoly capacity. When the value of q < 1 with a continuous declination in the top 2000 counties, the top 250 prefectures, and the top 20 provinces in equilibrium, there was little difference in the scale of development at the multiscale level with an R2 > 0.90. The results enriched our understanding of urban development in terms of Zipf’s law and had valuable implications for relevant decision-makers and stakeholders.

scholarly journals Spatiotemporal Variations of City-Level Carbon Emissions in China during 2000–2017 Using Nighttime Light Data

2020 ◽  
Vol 12 (18) ◽  
pp. 2916
Author(s):  
Yu Sun ◽  
Sheng Zheng ◽  
Yuzhe Wu ◽  
Uwe Schlink ◽  
Ramesh P. Singh
Keyword(s):  
Carbon Emissions ◽  
Infrared Imaging ◽  
Yangtze River Delta ◽  
Chinese Government ◽  
Low Carbon ◽  
Spatiotemporal Variations ◽  
Nighttime Light Data ◽  
Low Emission ◽  
High Emission ◽  
Nighttime Light

China is one of the largest carbon emitting countries in the world. Numerous strategies have been considered by the Chinese government to mitigate carbon emissions in recent years. Accurate and timely estimation of spatiotemporal variations of city-level carbon emissions is of vital importance for planning of low-carbon strategies. For an assessment of the spatiotemporal variations of city-level carbon emissions in China during the periods 2000–2017, we used nighttime light data as a proxy from two sources: Defense Meteorological Satellite Program’s Operational Linescan System (DMSP-OLS) data and the Suomi National Polar-orbiting Partnership satellite’s Visible Infrared Imaging Radiometer Suite (NPP-VIIRS). The results show that cities with low carbon emissions are located in the western and central parts of China. In contrast, cities with high carbon emissions are mainly located in the Beijing-Tianjin-Hebei region (BTH) and Yangtze River Delta (YRD). Half of the cities of China have been making efforts to reduce carbon emissions since 2012, and regional disparities among cities are steadily decreasing. Two clusters of high-emission cities located in the BTH and YRD followed two different paths of carbon emissions owing to the diverse political status and pillar industries. We conclude that carbon emissions in China have undergone a transformation to decline, but a very slow balancing between the spatial pattern of high-emission versus low-emission regions in China can be presumed.

scholarly journals Environmental Pressure from Pig Farming to Surface Water Quality Management in Yen Dung District Bac Giang Province

2020 ◽  
Vol 36 (1) ◽  
Author(s):  
Ngo The An ◽  
Ngo Phuong Lan ◽  
Vo Huu Cong ◽  
Nong Huu Duong ◽  
Nguyen Thi Huong Giang
Keyword(s):  
Water Quality Management ◽  
Surface Water Quality ◽  
Local Environment ◽  
Terrain Analysis ◽  
Livestock Waste ◽  
Pollutant Load ◽  
Environmental Pressure ◽  
Pig Farming ◽  
Digital Elevation ◽  
Elevation Model

This study focuses on the environmental pressure of waste generated from pig farming in Yen Dung district. Terrain analysis of the digital elevation model (DEM) was used to delineate the sub-basin map where pollutants accumulated. Then we combined this map with land use map and statistical data for determining the distribution of pollutant discharged sources. Based on the pollution load coefficient prescribed by the Vietnam Environment Administration, the loads from all sources, including pig farming, were estimated for entire sub-basins within the district. The results show that the pollutant load from pig farming accounts for a large proportion and creates a major pressure on the local environment. The pollutant from pig farming greatly influences the spatial distribution of pollutant loads across sub-basins. Therefore, special attention should be paid to the waste management at pig farms (households and farm) to ensure the effectiveness of the environmental protection for the communities. Keywords: livestock waste, pollutant load mapping, pig farming.

scholarly journals Using Nighttime Light Data and POI Big Data to Detect the Urban Centers of Hangzhou

2019 ◽  
Vol 11 (15) ◽  
pp. 1821 ◽  
Author(s):  
Ge Lou ◽  
Qiuxiao Chen ◽  
Kang He ◽  
Yue Zhou ◽  
Zhou Shi
Keyword(s):  
Spatial Structure ◽  
Urban Space ◽  
Space Structure ◽  
Master Plan ◽  
Urban Centers ◽  
Evaluation Report ◽  
Large Cities ◽  
Nighttime Light Data ◽  
Nighttime Light ◽  
The City

The worldwide development of multi-center structures in large cities is a prevailing development trend. In recent years, China’s large cities developed from a predominantly mono-centric to a multi-center urban space structure. However, the definition and identification city centers is complex. Both nighttime light data and point of interest (POI) data are important data sources for urban spatial structure research, but there are few integrated applications for these two kinds of data. In this study, visible infrared imaging radiometer suite (NPP-VIIRS) nighttime imagery and POI data were combined to identify the city centers in Hangzhou, China. First, the optimal parameters of multi-resolution segmentation were determined by experiments. The POI density was then calculated with the segmentation results as the statistical unit. High–high clustering units were then defined as the main centers by calculating the Anselin Local Moran’s I, and a geographically weighted regression model was used to identify the subcenters according to the square root of the POI density and the distances between the units and the city center. Finally, a comparison experiment was conducted between the proposed method and the relative cut-off_threshold method, and the experiment results were compared with the evaluation report of the master plan. The results showed that the optimal segmentation parameters combination was 0.1 shape and 0.5 compactness factors. Two main city centers and ten subcenters were detected. Comparison with the evaluation report of the master plan indicated that the combination of nighttime light data and POI data could identify the urban centers accurately. Combined with the characteristics of the two kinds of data, the spatial structure of the city could be characterized properly. This study provided a new perspective for the study of the spatial structure of polycentric cities.

scholarly journals China’s city-level carbon emissions during 1992–2017 based on the inter-calibration of nighttime light data

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Jiandong Chen ◽  
Ming Gao ◽  
Shulei Cheng ◽  
Xin Liu ◽  
Wenxuan Hou ◽  
...  
Keyword(s):  
Carbon Emissions ◽  
Infrared Imaging ◽  
Carbon Intensity ◽  
Nighttime Light Data ◽  
Reduction Strategies ◽  
Nighttime Light ◽  
Novel Method ◽  
Data Source ◽  
Emission Reduction Strategies

AbstractAccurate, long-term, full-coverage carbon dioxide (CO2) data in units of prefecture-level cities are necessary for evaluations of CO2 emission reductions in China, which has become one of the world’s largest carbon-emitting countries. This study develops a novel method to match satellite-based Defense Meteorological Satellite Program’s Operational Landscan System (DMSP/OLS) and Suomi National Polar-orbiting Partnership’s Visible Infrared Imaging Radiometer Suite (NPP/VIIRS) nighttime light data, and estimates the CO2 emissions of 334 prefecture-level cities in China from 1992 to 2017. Results indicated that the eastern and coastal regions had higher carbon emissions, but their carbon intensity decreased more rapidly than other regions. Compared to previous studies, we provide the most extensive and long-term CO2 dataset to date, and these data will be of great value for further socioeconomic research. Specifically, this dataset provides a foundational data source for China’s future CO2 research and emission reduction strategies. Additionally, the methodology can be applied to other regions around the world.

The Establishment of the Digital Elevation Model

2013 ◽  
Vol 380-384 ◽  
pp. 1567-1570
Author(s):  
Chun Di Ni ◽  
Shen Kui Liu ◽  
Xiao Wei Yin
Keyword(s):  
Rapid Development ◽  
Digital Terrain Model ◽  
Quantitative Information ◽  
Contour Line ◽  
Terrain Analysis ◽  
Qualitative And Quantitative ◽  
Terrain Model ◽  
Digital Terrain ◽  
Digital Elevation ◽  
Elevation Model

Contour line map and digital terrain model are widely used in practical work. With the rapid development of computer technology, computer graphics and geographic information system, they become more and more practical and their roles have become more prominent. Contour line has incomparable advantage of expressing both qualitative and quantitative information especially in the terrain analysis. Many algorithms of contour line map are automatically generated based on the digital terrain model.

scholarly journals Evaluating the Potential of LJ1-01 Nighttime Light Data for Modeling Socio-Economic Parameters

Sensors ◽  
2019 ◽  
Vol 19 (6) ◽  
pp. 1465 ◽  
Author(s):  
Guo Zhang ◽  
Xueyao Guo ◽  
Deren Li ◽  
Boyang Jiang
Keyword(s):  
Infrared Imaging ◽  
Electricity Consumption ◽  
The United States ◽  
Gross Regional Product ◽  
Linear Regression Models ◽  
Nighttime Light Data ◽  
Economic Parameters ◽  
Nighttime Light ◽  
Positive Correlations ◽  
Regional Product

The LJ1-01 satellite is the first dedicated nighttime light remote sensing satellite in the world and offers a higher spatial resolution than the Defense Meteorological Satellite Program’s Operational Linescan System (DMSP/OLS) and the Visible Infrared Imaging Radiometer Suite (VIIRS) sensor on the Suomi National Polar-orbiting Partnership (NPP) satellites of the United States. This study compared the LJ1-01 nighttime light data with NPP/VIIRS data in the context of modeling socio-economic parameters. In the eastern and central regions of China, 10 parameters from the four aspects of gross regional product (annual average population, electricity consumption, and area of land in use) were selected to build linear regression models. The results showed that the LJ1-01 nighttime light data offered better potential for modeling socio-economic parameters than the equivalent NPP/VIIRS data; the former can be an effective tool for establishing models for socio-economic parameters. There were significant positive correlations between the two types of nighttime light data and the 10 socio-economic parameters; that for the gross regional product was the highest.

scholarly journals Digital terrain analysis of the Haute-Mentue catchment an scale effect for hydrological modelling with TOPMODEL

2000 ◽  
Vol 4 (2) ◽  
pp. 225-237 ◽  
Author(s):  
C. Higy ◽  
A. Musy
Keyword(s):  
Digital Elevation Model ◽  
Scale Effects ◽  
Digital Terrain Model ◽  
Hydrological Modelling ◽  
Terrain Analysis ◽  
Topographic Index ◽  
Terrain Model ◽  
Digital Terrain ◽  
Digital Elevation ◽  
Elevation Model

Abstract. It is widely recognised that topography plays an important role in the generation of runoff. The scale of a digital elevation model has been found to have some impacts on the results of hydrological modelling in several studies. In particular it has been shown that the representation of the statistical distribution of the topographic index used by TOPMODEL is sensitive to the scale of the digital terrain model. The objectives of this study are to develop an analysis of the topography and scale effects for the Haute-Mentue catchment and to test the role of different spatial resolution on parameter calibration. The major result is that the spatial scale is important for the parameter values, but not determinant for the modelling results if a pertinent methodology is adopted for the determination of digital watershed representation. Keywords: digital elevation model, topographic index, scale problems, TOPMODEL

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