High-Spatial-Resolution Nighttime Light Dataset Acquisition Based on Volunteered Passenger Aircraft Remote Sensing

Liu, Cuiling; Tang, Qifeng; Xu, Yaping; Wang, Chisheng; Wang, Shuying; Wang, Hao; Li, Weidong; Cui, Hongxing; Zhang, Qin; Li, Qingquan

doi:10.1109/tgrs.2021.3139011

Cited by 12 publications

(2 citation statements)

References 37 publications

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“…The spatial resolution was initially 2700 m [15], which was increased to 740 m 10 years later with the launch of the Suomi National Polar-Orbiting Partnership (NPP) [16]. In recent years, China has made a breakthrough in remote sensing technology, and the spatial resolution of the Luojia-101 developed by Wuhan University reached 130 m. Recently, researchers in [17] used a crewless aircraft as the remote sensing platform and a portable camera device as the sensor to obtain a set of voluntary passenger aircraft night remote sensing (VPAN-RS) images with a spatial resolution of less than 15 m. As a result of the NTL-RS data's increasing spatial resolution, studies in various monitoring fields have moved to smaller scales with improved accuracy. Table 3 shows the current significant global NTL-RS data and the main parameters [18].…”

Section: Ntl-rs Data Setmentioning

confidence: 99%

Radio Monitoring Coverage Assessment Based on Nighttime Light Remote Sensing Data

2023

RSL

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Improving coverage has been one of the main objectives of radio monitoring network construction, and radio monitoring coverage assessment has become a matter of concern. This article uses a graph model to associate nighttime light remote sensing (NTL-RS) data of a particular area with the corresponding spatial field strength (SFS) data obtained from an elastic wave propagation simulation. The geographic coverage and population coverage of the radio monitoring station are characterized through adjacency matrix calculation. Taking Wuhua District, Kunming, Yunnan Province, as an example, two radio services are available. Results showed that the geographic coverage of digital TV and FM radio was 21.06% and 27.96%, respectively, while the respective population coverage was 48.1% and 57.5%. When considering the light intensity weight, the weighted population coverage was 92.9% and 94.3%. The method proposed in this article is vital for the scientific assessment of radio monitoring coverage.

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Section: Ntl-rs Data Setmentioning

confidence: 99%

Radio Monitoring Coverage Assessment Based on Nighttime Light Remote Sensing Data

2023

RSL

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“…Nighttime light (NTL) remote sensing offers a unique perspective on the intensity and scope of human socioeconomic activities on the Earth's surface, owing to its high-frequency acquisition cycle, cost-effectiveness, and extensive coverage [19,20]. It is widely used in various fields, such as urban expansion [21], economic development [22], population distribution [23], conflict and war analysis [24], and monitoring of natural disasters [25].…”

Section: Introductionmentioning

confidence: 99%

Assessment of Earthquake Damage and Economic Recovery in Hatay Province, Turkey Using Nighttime Light Data

Li,

Liao,

Zhang

et al. 2024

Preprint

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The catastrophic twin earthquakes that struck southern Turkey and northern Syria on February 6 2023, caused massive casualties and extensive damage to infrastructure, with the province of Hatay bearing the brunt of the impact. To investigate the potential of nighttime light (NTL) data for earthquake disaster assessment, we performed an analysis of pre- and post-earthquake NPP-VIIRS and SDGSAT-1 NTL data. The NTL change ratio (NCR) was employed to identify the extent of damage in Hatay Province following the earthquake to assess the impact on affected buildings and populations. NPP-VIIRS daily NTL Time-series data was used to establish an economic recovery framework for earthquake disasters in Hatay Province, assessing regional economic recovery after earthquake. The results revealed a strong correlation between the total reduced NTLs of NPP-VIIRS and SDGSAT-1 and the presence of severely and moderately damaged buildings. Conversely, the correlation with slightly damaged buildings was relatively weaker. Furthermore, the reduced NTLs of NPP-VIIRS provide a more precise identification of all earthquake damage compared to the SDGSAT-1 data, achieving an overall accuracy of 86.21% in earthquake damage identification and a Kappa coefficient of 0.72. In accordance with the earthquake economic recovery framework, as of the end of March 2024, neither the provincial economy nor any of its districts have fully restored to their pre-earthquake levels. The findings offered new and valuable insights into earthquake disaster assessment, assisting decision-makers in accurately assessing the level of disaster risk following an earthquake and efficiently allocating post-earthquake relief funds.

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Improving seismic resolution based on enhanced multi-channel variational mode decomposition

Tian

Gao

Wang

2022

Journal of Applied Geophysics

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High-Spatial-Resolution Nighttime Light Dataset Acquisition Based on Volunteered Passenger Aircraft Remote Sensing

Cited by 12 publications

References 37 publications

Radio Monitoring Coverage Assessment Based on Nighttime Light Remote Sensing Data

Radio Monitoring Coverage Assessment Based on Nighttime Light Remote Sensing Data

Assessment of Earthquake Damage and Economic Recovery in Hatay Province, Turkey Using Nighttime Light Data

Improving seismic resolution based on enhanced multi-channel variational mode decomposition

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