ArticleSensors (Basel, Switzerland)2019
Evaluating the Potential of LJ1-01 Nighttime Light Data for Modeling Socio-Economic Parameters.
Article in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Selection and prediction of metro station sites based on spatial data and random forest: a study of Lanzhou, China.Scientific reports · 2023Article
- Association of Catastrophic Health Expenditure With the Risk of Depression in Chinese Adults: Population-Based Cohort Study.JMIR public health and surveillance · 2023Article
- Refined Carbon Emission Measurement Based on NPP-VIIRS Nighttime Light Data: A Case Study of the Pearl River Delta Region, China.Sensors (Basel, Switzerland) · 2022Article
- Regression Analysis and Comparison of Economic Parameters with Different Light Index Models under Various Constraints.Sensors (Basel, Switzerland) · 2021Article
- Pervasiveness of Biological Impacts of Artificial Light at Night.Integrative and comparative biology · 2021Article
- Detection of County Economic Development Using LJ1-01 Nighttime Light Imagery: A Comparison with NPP-VIIRS Data.Sensors (Basel, Switzerland) · 2020Article
- Night-light Image Restoration Method Based on Night Scattering Model for Luojia 1-01 Satellite.Sensors (Basel, Switzerland) · 2019Article
- Assessing the Ability of Luojia 1-01 Imagery to Detect Feeble Nighttime Lights.Sensors (Basel, Switzerland) · 2019Article
- Potentiality of Using Luojia1-01 Night-Time Light Imagery to Estimate Urban Community Housing Price-A Case Study in Wuhan, China.Sensors (Basel, Switzerland) · 2019Article
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4 authors.
Funding
Abstract
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.
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