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Título

Colour remote sensing of the impact of artificial light at night (II): Calibration of DSLR-based images from the International Space Station

AutorSánchez de Miguel, A.; Zamorano, Jaime; Aubé, Martin; Bennie, Jonathan; Gallego, Jesús; Ocaña, Francisco; Pettit, Donald R.; Stefanov, William L.; Gaston, Kevin J.
Palabras claveArtificial lighting
Light pollution
Night
Remote sensing
Urban
Fecha de publicaciónoct-2021
EditorElsevier
CitaciónRemote Sensing of Environment 264: 112611 (2021)
ResumenNighttime images taken with DSLR cameras from the International Space Station (ISS) can provide valuable information on the spatial and temporal variation of artificial nighttime lighting on Earth. In particular, this is the only source of historical and current visible multispectral data across the world (DMSP/OLS and SNPP/VIIRS-DNB data are panchromatic and multispectral in the infrared but not at visible wavelengths). The ISS images require substantial processing and proper calibration to exploit intensities and ratios from the RGB channels. Here we describe the different calibration steps, addressing in turn Decodification, Linearity correction (ISO dependent), Flat field/Vignetting, Spectral characterization of the channels, Astrometric calibration/georeferencing, Photometric calibration (stars)/Radiometric correction (settings correction - by exposure time, ISO, lens transmittance, etc) and Transmittance correction (window transmittance, atmospheric correction). We provide an example of the application of this processing method to an image of Spain. © 2021 The Author(s).
DescripciónThis is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
Versión del editorhttp://dx.doi.org/10.1016/j.rse.2021.112611
URIhttp://hdl.handle.net/10261/255326
DOI10.1016/j.rse.2021.112611
ISSN0034-4257
E-ISSN1879-0704
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Este item está licenciado bajo una Licencia Creative Commons Creative Commons