Evaluation of LJ1-01 Nighttime Light Imagery for Estimating Monthly PM2.5 Concentration: A Comparison With NPP-VIIRS Nighttime Light Data

The Luojia1-01 satellite provides high-resolution, high-sensitivity nighttime light data at a resolution of 130 m. To effectively use the Luojia1-01 nighttime light data for global applications, the problems of relative and absolute positioning accuracy should be solved. This paper proposes a high accuracy regional geometric processing method of nighttime light imagery. We utilized a nighttime light image matching algorithm to obtain tie points, which are used in the planar block adjustment with ground control points. Then, orthorectification of all images is implemented. Finally, we obtain the nighttime light map of China by mosaicking all the nighttime light orthoimages. According to the experimental results for 275 Luojia1-01 images, the root mean square error of the tie points is 0.983 pixels and the root mean square error of independent checkpoints is 195.491 m (less than 1.5 pixels) after the planar block adjustment. The experimental results prove the validity and feasibility of the proposed method.

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Evaluating Urbanization and Spatial-Temporal Pattern Using the DMSP/OLS Nighttime Light Data: A Case Study in Zhejiang Province

Mathematical Problems in Engineering ◽

10.1155/2016/9850890 ◽

2016 ◽

Vol 2016 ◽

pp. 1-8 ◽

Cited By ~ 1

Author(s):

Pengfei Xu ◽

Pingbin Jin ◽

Yangfan Yang ◽

Quan Wang

Keyword(s):

Rapid Development ◽

Urban Expansion ◽

Zhejiang Province ◽

Effective Measure ◽

Nighttime Light Data ◽

Economic Statistics ◽

Urban Planning And Development ◽

Nighttime Light ◽

High Level ◽

Nighttime Light Imagery

The application of DMSP/OLS nighttime light data provides an effective measure for characterizing urbanization and its spatial-temporal changes. Combined with the social economic statistics and calibrated nighttime data, the nighttime light imagery of Zhejiang province was fully intercalibrated during the period 1992–2013. The backgrounds were explained and the model of region light index (RLI) was built to make further research. The methods of mutation detection, regression analysis, and spatial analysis were adopted in this study. The results show that the urbanization progress of Zhejiang experienced a transformation from rapid development to steady improvement and was accompanied by a changing direction of urban expansion from coastal to inland areas from 2000. Further research indicated that Zhejiang province possessed a relative high level of urbanization, where a spatial pattern of urbanization with one center and four axes was initially formed. It is a novel attempt to investigate the urbanization of Zhejiang province on the basis of the DMSP/OLS night-lighting data, which may provide a significant guideline for the urban planning and development.

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Housing Vacancy Rate in Major Cities in China: Perspectives from Nighttime Light Data

Complexity ◽

10.1155/2020/5104578 ◽

2020 ◽

Vol 2020 ◽

pp. 1-12

Author(s):

Zhiru Tan ◽

Donglan Wei ◽

Zixu Yin

Keyword(s):

Data Center ◽

Housing Prices ◽

Vacancy Rate ◽

Nighttime Light Data ◽

Building Information ◽

Nighttime Light ◽

Vacancy Rates ◽

Second Tier ◽

Nighttime Light Imagery ◽

Housing Vacancy

In recent years, the phenomenon of housing vacancy rate (HVR) has attracted considerable attention, especially concerning unjustified expansions of Chinese cities. The aforementioned trend is disadvantageous in that it will ultimately lead to tremendous wastage of valuable land that could otherwise be more productively utilized. Consequently, the methods for accurately determining the HVR are of great importance. Based on nighttime light data from the Luojia 1-01 nighttime light imagery provided by Wuhan University in June 2018 and the building data obtained from the Resources and Environmental Sciences Data Center, we estimated the HVRs of 49 cities in China by determining the building areas and considering the floor height. The results revealed that (1) the lowest (15%) and highest (24.3%) HVRs occur in Shenzhen and Nanning, respectively. (2) The urban HVR correlates positively with the three production structures (0.3143) but is significantly negatively correlated with population (0.3841), GDP (0.6139), and urban average housing prices (0.5083). (3) The first-tier, new first-tier, and second-tier cities showed the lowest (16.9%), relatively concentrated (20.5%), and highest (21.3%) average vacancy rates, respectively. (4) The vacancy rate is relatively low in the eastern coastal areas, whereas high in the northeast and western inland areas. The proposed method can help urban planners by identifying vacant areas and providing building information.

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Correlation Analysis between NPP-VIIRS Nighttime Light Data and POIs Data —a Comparison Study in Different Districts and Counties of Nanchang

IOP Conference Series Earth and Environmental Science ◽

10.1088/1755-1315/693/1/012103 ◽

2021 ◽

Vol 693 (1) ◽

pp. 012103

Author(s):

Yuqian Wang ◽

Yue Li ◽

Xuepeng Song ◽

Xin Zou ◽

Jiajun Xiao

Keyword(s):

Correlation Analysis ◽

Comparison Study ◽

Nighttime Light Data ◽

Nighttime Light

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How does the urbanization level change in the Yangtze River economic belt, China? A multi-scale evaluation using DMSP/OLS nighttime light data

IOP Conference Series Earth and Environmental Science ◽

10.1088/1755-1315/675/1/012112 ◽

2021 ◽

Vol 675 (1) ◽

pp. 012112

Author(s):

Zhiyu Xu ◽

Xiujuan He ◽

Lin Chen ◽

Xunxun Hu ◽

Weiming Tang ◽

...

Keyword(s):

Yangtze River ◽

The Yangtze River ◽

Urbanization Level ◽

Scale Evaluation ◽

Multi Scale ◽

Level Change ◽

Nighttime Light Data ◽

Nighttime Light

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Delineating the Urban Areas of a Cross-Boundary City with Open-Access Data: Guangzhou–Foshan, South China

Sustainability ◽

10.3390/su13052930 ◽

2021 ◽

Vol 13 (5) ◽

pp. 2930

Author(s):

Pengfei Ban ◽

Wei Zhan ◽

Qifeng Yuan ◽

Xiaojian Li

Keyword(s):

Urban Area ◽

Urban Areas ◽

City Size ◽

Border City ◽

Point Of Interest ◽

Nighttime Light Data ◽

Profile Line ◽

Point Analysis ◽

Nighttime Light ◽

Single Data

Cities defined mainly from the administrative aspect can create impact and problems especially in the case of China. However, only a few researchers from China have attempted to identify urban areas from the morphology dimension. In addition, previous studies have been mostly based on the national and regional scales or a single prefecture city and have completely ignored cross-boundary cities. Defining urban areas on the basis of a single data type also has limitations. To address these problems, this study integrates point of interest and nighttime light data, applies the breaking point analysis method to determine the physical geographic scope of the Guangzhou–Foshan cross-border city, and then compares this city with Beijing and Shanghai. Results show that Guangzhou–Foshan comprises one core urban area and six suburban counties, among which the core urban area extends across the administrative boundaries of Guangzhou and Foshan. The urban area and average urban radius of Guangzhou–Foshan are larger than those of Beijing and Shanghai, and this finding contradicts the city size measurements based on the administrative division system of China and those published on traditional official statistical yearbooks. In terms of urban density value, Shanghai has the steepest profile followed by Guangzhou–Foshan and Beijing, and the profile line of Guangzhou–Foshan has a bimodal shape.

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