2022
DOI: 10.1029/2021jd036382
|View full text |Cite
|
Sign up to set email alerts
|

Multiple Angle Observations Would Benefit Visible Band Remote Sensing Using Night Lights

Abstract: The spatial and angular emission patterns of artificial and natural light emitted, scattered, and reflected from the Earth at night are far more complex than those for scattered and reflected solar radiation during daytime. In this commentary, we use examples to show that there is additional information contained in the angular distribution of emitted light. We argue that this information could be used to improve existing remote sensing retrievals based on night lights, and in some cases could make entirely ne… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1

Citation Types

1
11
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
6
1

Relationship

2
5

Authors

Journals

citations
Cited by 20 publications
(12 citation statements)
references
References 63 publications
(70 reference statements)
1
11
0
Order By: Relevance
“…Measuring light pollution remains a complex challenge, which can be seen from a number of recent publications (Kolláth et al, 2021 ; Kyba et al, 2022 ; Levin et al, 2019 ; Masana et al, 2021 ). For example, investigating the impact of ecological light pollution on the behavior of living organisms is challenging since ambient lighting conditions can change rapidly and vary considerably between places (Cinzano & Falchi, 2012 ; Jechow et al, 2017 ; Vandersteen et al, 2020 ).…”
Section: From Surface To Volumementioning
confidence: 99%
See 2 more Smart Citations
“…Measuring light pollution remains a complex challenge, which can be seen from a number of recent publications (Kolláth et al, 2021 ; Kyba et al, 2022 ; Levin et al, 2019 ; Masana et al, 2021 ). For example, investigating the impact of ecological light pollution on the behavior of living organisms is challenging since ambient lighting conditions can change rapidly and vary considerably between places (Cinzano & Falchi, 2012 ; Jechow et al, 2017 ; Vandersteen et al, 2020 ).…”
Section: From Surface To Volumementioning
confidence: 99%
“…For example, investigating the impact of ecological light pollution on the behavior of living organisms is challenging since ambient lighting conditions can change rapidly and vary considerably between places (Cinzano & Falchi, 2012 ; Jechow et al, 2017 ; Vandersteen et al, 2020 ). Therefore, it is extremely challenging that the resolution in time and place is not a strength of today's satellite‐based remote sensing systems (Kolláth et al, 2021 ; Kyba et al, 2022 ; Levin et al, 2019 ; Vandersteen et al, 2020 ). Additionally, it is problematic that today's systems cannot detect light visible to birds, insects, and bats (Briscoe & Chittka, 2001 ; Cuthill et al, 2000 ; de Miguel et al, 2021 ; Winter et al, 2003 ).…”
Section: From Surface To Volumementioning
confidence: 99%
See 1 more Smart Citation
“…Nighttime light remote sensing is an optical remote sensing technology that detects and obtains information on nighttime lights, providing a quick, accurate, and objective view of the surface and human activities [14][15][16]. Unlike daytime remote sensing, nighttime light remote sensing can reveal information that is not visible during the day [17,18]. Since most of the stable light at night comes from artificial sources in urban areas, remote sensing images of nighttime lights can more intuitively reflect differences in human activity at night [19][20][21][22].…”
Section: Introductionmentioning
confidence: 99%
“…The contributions to ground-observed skyglow and satellite-observed surface radiance depend on the lighting type. Most satellite radiometers have little to no sensitivity to light emitted toward the horizon (e.g., from a window or self-luminous sign) ( 30 ). However, light propagating toward the horizon is the largest contributor to skyglow because of its longer path length (by an order of magnitude) from ground to space at such angles.…”
mentioning
confidence: 99%