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Open AccessEditorial

Remote Sensing of Night Lights—Beyond DMSP

1
Department of Geography, The Hebrew University of Jerusalem, Mount Scopus, Jerusalem 91905, Israel
2
German Research Center for Geosciences (GFZ), Telegrafenberg, 14473 Potsdam, Germany
3
Leibniz-Institute of Freshwater Ecology and Inland Fisheries (IGB), Müggelseedamm 310, 12587 Berlin, Germany
4
Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
5
School of Aeronautics and Astronautics, Sun Yat-Sen University, Guangzhou 510275, China
*
Author to whom correspondence should be addressed.
Remote Sens. 2019, 11(12), 1472; https://doi.org/10.3390/rs11121472
Received: 8 June 2019 / Accepted: 17 June 2019 / Published: 21 June 2019
(This article belongs to the Special Issue Remote Sensing of Night Lights – Beyond DMSP)
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PDF [204 KB, uploaded 21 June 2019]

Abstract

Remote sensing of night lights differs from other sources of remote sensing in its ability to directly observe human activity from space as well as in informing us on a new type of anthropogenic threat, that of light pollution. This special issue focuses on studies which used newer sensors than the Defense Meteorological Satellite Program - Operational Line-Scan System (DMSP/OLS). Most of the analyses focused on data from the Visible Infrared Imaging Radiometer Suite (VIIRS) nighttime sensor (also called the Day/Night Band, or VIIRS/DNB in short), for which the first instrument in the series was launched in 2011. In this editorial, we provide an overview of the 12 papers published in this special issue, and offer suggestions for future research directions in this field, both with respect to the remote sensing platforms and algorithms, and with respect to the development of new applications. View Full-Text
Keywords: night lights; VIIRS/DNB; urban night lights; VIIRS/DNB; urban
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Levin, N.; Kyba, C.C.; Zhang, Q. Remote Sensing of Night Lights—Beyond DMSP. Remote Sens. 2019, 11, 1472.

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