| Autor: |
Haofan Ran, Fei Zhang, Ngai Weng Chan, Mou Leong Tan, Hsiang-Te Kung, Jingchao Shi |
| Jazyk: |
angličtina |
| Rok vydání: |
2023 |
| Předmět: |
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| Zdroj: |
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 3418-3434 (2023) |
| Druh dokumentu: |
article |
| ISSN: |
2151-1535 |
| DOI: |
10.1109/JSTARS.2023.3258754 |
| Popis: |
This article employs the 2018 National Polar-Orbiting Partnership/Visible Infrared Imaging Radiometer Suite (NPP/VIIRS) and Luojia_01 nighttime light imagery to construct a New Composite Nighttime Light Index, which is NCNTL. The reliability of NCNTL is verified based on the analysis of urban road network, population, and Landsat normalized difference vegetation index auxiliary data. The research found some differences between the NPP/VIIRS and the Luojia_01 nighttime light imagery in detecting urban areas by comparing and analyzing the urban area factor of the Xinjiang region. Therefore, NCNTL was developed to solve this issue. First, a more significant improvement of correlation was found between NCNTL and the city-related factors than that in a single nighttime light imagery source. Second, the conformation of the NCNTL integration of the characteristics of multisource nighttime light was achieved to a certain extent by using NPP/VIIRS and Luojia_01 to extract urban area features. Third, NCNTL outperformed the single-source data in extracting small- and medium-sized cities in southern Xinjiang. With the application of the new nighttime index, researchers can now fuse nighttime light imagery easily to perform urban analysis. Although the quality of NCNTL is similar to nighttime light imagery processed using multisource auxiliary data, it can greatly reduce the workload in urban analysis and decrease the complex task requirement of collecting data from multiple sources. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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