Evidence map›Paper›PMID 31455021›Full record

ArticleSensors (Basel, Switzerland)2019

Assessing the Ability of Luojia 1-01 Imagery to Detect Feeble Nighttime Lights.

Xue Li, Zhumei Liu, Xiaolin Chen, Jie Sun

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
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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

4 authors.

Xue LiKey Laboratory of Earthquake Geodesy, Institute of Seismology, China Earthquake Administration, NO. 40 Hongshance Road, Wuhan 430071, China.
Zhumei LiuKey Laboratory of Earthquake Geodesy, Institute of Seismology, China Earthquake Administration, NO. 40 Hongshance Road, Wuhan 430071, China.
Xiaolin ChenKey Laboratory of Earthquake Geodesy, Institute of Seismology, China Earthquake Administration, NO. 40 Hongshance Road, Wuhan 430071, China.
Jie SunSchool of Geography and Information Engineering, China University of Geosciences, Wuhan 430074, China. jsun20@gmu.edu.

Funding

National Natural Science Foundation of China 41401428the foundation of director of Institute of Seismology, CEA IS201616248the foundation of director of Institute of Seismology, CEA IS201716155
6 · The paper itself

Abstract

The Luojia1-01 (LJ1-01) satellite launched on June 2, 2018 provides a new option for nighttime light (NTL) application research. In this paper, four types of human settlements, such as cities, counties, towns and villages, are sampled to evaluate the potential of LJ1-01 to detect feeble NTL by comparing with the NTL images from the Defense Meteorological Satellite Program's Operational Linescan System (DMSP/OLS) and the Visible Infrared Imaging Radiometer Suite (VIIRS) on the Suomi National Polar-Orbiting Partnership Satellite. First, the landscape indices and cutoff threshold method are applied to enhance signal-noise ratio (SNR). Then, the detection accuracy of samples is evaluated to determine the optimal cutoff threshold for each NTL data source. After that, the spatial correspondence of different NTL images and the area consistency between the samples and NTL footprints are compared. Finally, after the discussion of feeble NTL detection and the influence of clouds, moonlight and image composites, it can be concluded that LJ1-01 is more suitable for detection feeble NTL objects, while great importance should be attached to the measures to eliminate the noise in LJ1-01 image and make LJ1-01 more widely used: (1) In the study area, a suitable cutoff threshold of LJ1-01 image can be set to 0.1 nano-Wcm

Indexed as

area consistencybackground noisecutoff thresholdfeeble nighttime lightimage compositionLuojia1-01 satellitespatial correspondence

Identifiers

PMID31455021
PMCPMC6749461

What OpenQuestion holds

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Registered trials

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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.