Evidence map›Paper›PMID 30200485›Full record

ArticleSensors (Basel, Switzerland)2018

Potentiality of Using Luojia 1-01 Nighttime Light Imagery to Investigate Artificial Light Pollution.

Wei Jiang, Guojin He, Tengfei Long, Hongxiang Guo, Ranyu Yin, Wanchun Leng, Huichan Liu, Guizhou Wang

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Wei JiangInstitute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China. jiangwei@radi.ac.cn.ORCID 0000-0003-4253-3019
Guojin HeInstitute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China. hegj@radi.ac.cn.
Tengfei LongInstitute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China. longtf@radi.ac.cn.
Hongxiang GuoInstitute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China. 17888827308@163.com.
Ranyu YinInstitute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China. yinry@radi.ac.cn.
Wanchun LengInstitute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China. lengwch@radi.ac.cn.
Huichan LiuInstitute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China. liuhc@radi.ac.cn.
Guizhou WangInstitute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China. wanggz01@radi.ac.cn.

Funding

National Natural Science Foundation of China 61731022 and 61701495Strategic Priority Research Program of the Chinese Academy of Sciences XDA190090300
6 · The paper itself

Abstract

The successful launch of Luojia 1-01 complements the existing nighttime light data with a high spatial resolution of 130 m. This paper is the first study to assess the potential of using Luojia 1-01 nighttime light imagery for investigating artificial light pollution. Eight Luojia 1-01 images were selected to conduct geometric correction. Then, the ability of Luojia 1-01 to detect artificial light pollution was assessed from three aspects, including the comparison between Luojia 1-01 and the Suomi National Polar-Orbiting Partnership Visible Infrared Imaging Radiometer Suite (NPP-VIIRS), the source of artificial light pollution and the patterns of urban light pollution. Moreover, the advantages and limitations of Luojia 1-01 were discussed. The results showed the following: (1) Luojia 1-01 can detect a higher dynamic range and capture the finer spatial details of artificial nighttime light. (2) The averages of the artificial light brightness were different between various land use types. The brightness of the artificial light pollution of airports, streets, and commercial services is high, while dark areas include farmland and rivers. (3) The light pollution patterns of four cities decreased away from the urban core and the total light pollution is highly related to the economic development. Our findings confirm that Luojia 1-01 can be effectively used to investigate artificial light pollution. Some limitations of Luojia 1-01, including its spectral range, radiometric calibration and the effects of clouds and moonlight, should be researched in future studies.

Indexed as

human activitylight pollutionLuojia 1-01nighttime light imageryNPP/VIIRS

Identifiers

PMID30200485
PMCPMC6165281

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.