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Dimensional Analysis of Regional Environmental Planning Based on NPP/VIIRS Lighting Data
1School of Computer Science and Technology, Xidian University, Xi'an 71000, China.
Computational Intelligence and Neuroscience
|August 19, 2022
Summary
Remote sensing technology, specifically NPP/VIIRS, offers a new way to assess China
Area of Science:
- Environmental Science
- Remote Sensing Technology
- Geospatial Analysis
Background:
- Traditional statistical methods are insufficient for assessing current regional environmental planning status.
- Remote sensing identification technology is crucial for acquiring accurate environmental data.
- China's regional environmental planning requires innovative data collection and analysis methods.
Purpose of the Study:
- To identify and analyze China's regional environment using NPP/VIIRS technology.
- To conduct a dimensional analysis of regional environmental planning and verify the feasibility of NPP/VIIRS.
- To link light intensity and carbon emissions for improved environmental planning and carbon reduction strategies.
Main Methods:
- Utilizing NPP/VIIRS (National Polar-orbiting Partnership/Visible Infrared Imaging Radiometer Suite) technology for environmental identification and analysis.
- Integrating night-light data with traditional energy consumption data.
- Performing dimensional analysis on regional environmental planning data.
Main Results:
- The NPP/VIIRS technology proves feasible for regional environmental planning and analysis in China.
- A correlation between light intensity and carbon emissions was established using night-light data.
- The study provides new solutions for carbon emission research with time and space continuity.
Conclusions:
- The proposed remote sensing method effectively analyzes regional environments and aids in environmental planning.
- This approach offers a solid scientific foundation for developing and implementing carbon emission reduction strategies.
- The integration of NPP/VIIRS data enhances the understanding of environmental dynamics and carbon emissions.
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