Evidence map›Paper›PMID 27929391›Full record

ArticleSensors (Basel, Switzerland)2016

A Hyperspectral Survey of New York City Lighting Technology.

Gregory Dobler, Masoud Ghandehari, Steven E Koonin, Mohit S Sharma

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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.

Gregory DoblerNYU Center for Urban Science and Progress, 1 MetroTech Center, Brooklyn, NY 11201, USA. greg.dobler@nyu.edu.
Masoud GhandehariNYU Center for Urban Science and Progress, 1 MetroTech Center, Brooklyn, NY 11201, USA. masoud@nyu.edu.
Steven E KooninNYU Center for Urban Science and Progress, 1 MetroTech Center, Brooklyn, NY 11201, USA. sek9@nyu.edu.
Mohit S SharmaNYU Center for Urban Science and Progress, 1 MetroTech Center, Brooklyn, NY 11201, USA. mohit.sharma@nyu.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Using side-facing observations of the New York City (NYC) skyline, we identify lighting technologies via spectral signatures measured with Visible and Near Infrared (VNIR) hyperspectral imaging. The instrument is a scanning, single slit spectrograph with 872 spectral channels from 0.4-1.0 μ m. With a single scan, we are able to clearly match the detected spectral signatures of 13 templates of known lighting types. However, many of the observed lighting spectra do not match those that have been measured in the laboratory. We identify unknown spectra by segmenting our observations and using Template-Activated Partition (TAP) clustering with a variety of underlying unsupervised clustering methods to generate the first empirically-determined spectral catalog of roughly 40 urban lighting types. We show that, given our vantage point, we are able to determine lighting technology use for both interior and exterior lighting. Finally, we find that the total brightness of our scene shows strong peaks at the 570 nm Na - II , 595 nm Na - II and 818 nm Na - I lines that are common in high pressure sodium lamps, which dominate our observations.

Indexed as

hyperspectrallighting technologyurban science

Identifiers

PMID27929391
PMCPMC5191028

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.