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Article: Analyzing the Sources and Variations of Nighttime Lights in Hong Kong from VIIRS Monthly Data
| Title | Analyzing the Sources and Variations of Nighttime Lights in Hong Kong from VIIRS Monthly Data |
|---|---|
| Authors | |
| Issue Date | 18-Apr-2025 |
| Publisher | MPDI |
| Citation | Remote Sensing, 2025, v. 17, n. 8 How to Cite? |
| Abstract | The long-term monitoring of nighttime lights is essential for understanding sources of light pollution. Nighttime lights observed in space are affected by atmospheric conditions as they transmit from the Earth surface through clouds and aerosols to the top of the atmosphere. In this study, based on the monthly cloud-free VIIRS/DNB products, we analyzed the long-term nighttime lights in Hong Kong (2012–2020). We found that the monthly variations in nighttime lights were large, especially in bright regions. The 12-month average of nighttime lights ranged from 13.0 to 18.9 nWcm−2sr−1. Public transportation facilities, such as port facilities and the airport, were the brightest, twice as bright as other urban areas. Public residential areas were slightly brighter than private ones. These urban areas were at least four times brighter than undeveloped regions, showing a significant alteration in light at night due to artificial facilities. Further, we used an unsupervised clustering method to identify specific patterns. While nighttime lights were stable in most regions, increasing trends were found at construction sites of a new artificial island and the airport expansion. Abnormal patterns, such as wildfires, were also recognized. We found that the background nighttime lights were brighter in wet months (e.g., April) and dimmer in dry months (e.g., January). The amount of water in the atmosphere affects nighttime light scattering, with a linear correlation (R = 0.68) between humidity and the occurrence of bright nighttime lights each month. The diverse sources and variations in nighttime lights call for continuous monitoring and advanced analytical methods to better understand their environmental and societal impacts. |
| Persistent Identifier | http://hdl.handle.net/10722/355666 |
| ISSN | 2023 Impact Factor: 4.2 2023 SCImago Journal Rankings: 1.091 |
| ISI Accession Number ID |
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Liu, Shengjie | - |
| dc.contributor.author | So, Chu Wing | - |
| dc.contributor.author | Pun, Chun Shing Jason | - |
| dc.date.accessioned | 2025-04-26T00:35:28Z | - |
| dc.date.available | 2025-04-26T00:35:28Z | - |
| dc.date.issued | 2025-04-18 | - |
| dc.identifier.citation | Remote Sensing, 2025, v. 17, n. 8 | - |
| dc.identifier.issn | 2072-4292 | - |
| dc.identifier.uri | http://hdl.handle.net/10722/355666 | - |
| dc.description.abstract | <p>The long-term monitoring of nighttime lights is essential for understanding sources of light pollution. Nighttime lights observed in space are affected by atmospheric conditions as they transmit from the Earth surface through clouds and aerosols to the top of the atmosphere. In this study, based on the monthly cloud-free VIIRS/DNB products, we analyzed the long-term nighttime lights in Hong Kong (2012–2020). We found that the monthly variations in nighttime lights were large, especially in bright regions. The 12-month average of nighttime lights ranged from 13.0 to 18.9 nWcm<sup>−2</sup>sr<sup>−1</sup>. Public transportation facilities, such as port facilities and the airport, were the brightest, twice as bright as other urban areas. Public residential areas were slightly brighter than private ones. These urban areas were at least four times brighter than undeveloped regions, showing a significant alteration in light at night due to artificial facilities. Further, we used an unsupervised clustering method to identify specific patterns. While nighttime lights were stable in most regions, increasing trends were found at construction sites of a new artificial island and the airport expansion. Abnormal patterns, such as wildfires, were also recognized. We found that the background nighttime lights were brighter in wet months (e.g., April) and dimmer in dry months (e.g., January). The amount of water in the atmosphere affects nighttime light scattering, with a linear correlation (R = 0.68) between humidity and the occurrence of bright nighttime lights each month. The diverse sources and variations in nighttime lights call for continuous monitoring and advanced analytical methods to better understand their environmental and societal impacts.<br></p> | - |
| dc.language | eng | - |
| dc.publisher | MPDI | - |
| dc.relation.ispartof | Remote Sensing | - |
| dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | - |
| dc.title | Analyzing the Sources and Variations of Nighttime Lights in Hong Kong from VIIRS Monthly Data | - |
| dc.type | Article | - |
| dc.description.nature | published_or_final_version | - |
| dc.identifier.doi | 10.3390/rs17081447 | - |
| dc.identifier.volume | 17 | - |
| dc.identifier.issue | 8 | - |
| dc.identifier.isi | WOS:001474675200001 | - |
| dc.identifier.issnl | 2072-4292 | - |
