| Records |
| Author |
Jechow, A.; Kolláth, Z.; Lerner, A.; Hänel, A.; Shashar, N.; Hölker, F.; Kyba, C.C.M. |
| Title |
Measuring Light Pollution with Fisheye Lens Imagery from A Moving Boat–A Proof of Concept |
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Journal Article |
| Year |
2017 |
Publication |
International Journal of Sustainable Lighting |
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| Volume |
19 |
Issue |
1 |
Pages |
15-25 |
| Keywords |
Skyglow; Instrumentation |
| Abstract |
Near all-sky imaging photometry was performed from a boat on the Gulf of Aqaba to measure the night sky brightness in a coastal environment. The boat was not anchored, and therefore drifted and rocked. The camera was mounted on a tripod without any inertia/motion stabilization. A commercial digital single lens reflex (DSLR) camera and fisheye lens were used with ISO setting of 6400, with the exposure time varied between 0.5 s and 5 s. We find that despite movement of the vessel the measurements produce quantitatively comparable results apart from saturation effects. We discuss the potential and limitations of this method for mapping light pollution in marine and freshwater systems. This work represents the proof of concept that all-sky photometry with a commercial DSLR camera is a viable tool to determine light pollution in an ecological context from a moving boat. |
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GFZ @ kyba @ |
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2151 |
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Sánchez de Miguel, A.; Kyba, C.C.M.; Aubé, M.; Zamorano, J.; Cardiel, N.; Tapia, C.; Bennie, J.; Gaston, K.J. |
| Title |
Colour remote sensing of the impact of artificial light at night (I): The potential of the International Space Station and other DSLR-based platforms |
Type |
Journal Article |
| Year |
2019 |
Publication |
Remote Sensing of Environment |
Abbreviated Journal |
Remote Sensing of Environment |
| Volume |
224 |
Issue |
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Pages |
92-103 |
| Keywords |
Remote Sensing; Instrumentation |
| Abstract |
Sensors on remote sensing satellites have provided useful tools for evaluation of the environmental impacts of nighttime artificial light pollution. However, due to their panchromatic nature, the data available from these sensors (VIIRS/DNB and DMSP/OLS) has a limited capacity accurately to assess this impact. Moreover, in some cases, recorded variations can be misleading. Until new satellite platforms and sensors are available, only nighttime images taken with DSLR cameras from the International Space Station (ISS), airplanes, balloons or other such platforms can provide the required information. Here we describe a theoretical approach using colour-colour diagrams to analyse images taken by astronauts on the ISS to estimate spatial and temporal variation in the spectrum of artificial lighting emissions. We then evaluate how this information can be used to determine effects on some key environmental indices: photopic vision, the Melatonin Suppression Index, the Star Light Index, the Induced Photosynthesis Index, production of NO2-NO radicals, energy efficiency and CO2 emissions, and Correlated Colour Temperature. Finally, we use the city of Milan as a worked example of the approach. |
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0034-4257 |
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GFZ @ kyba @ |
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2189 |
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Li, X.; Li, X.; Li, D.; He, X.; Jendryke, M. |
| Title |
A preliminary investigation of Luojia-1 night-time light imagery |
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Journal Article |
| Year |
2019 |
Publication |
Remote Sensing Letters |
Abbreviated Journal |
Remote Sensing Letters |
| Volume |
10 |
Issue |
6 |
Pages |
526-535 |
| Keywords |
Remote Sensing; Instrumentation |
| Abstract |
Launched on 2 June 2018, Luojia-1 satellite records night-time light imagery at 130 m resolution, which is higher than most of the existing night-time light images to date. This study evaluated radiometric and spatial properties of the Luojia-1 satellite imagery for cities of Los Angeles, Wuhan and Rome as well as the change detection capability for Zunyi city. For the radiometric property, the analysis shows that the Luojia-1 images correlate well with the radiance of the Visible Infrared Imaging Radiometer Suite (VIIRS)’s Day and Night Band (DNB), and that the Luojia-1 images have a wider range of radiance values, as well as higher radiance values (e.g., 40%–90% higher) than the VIIRS DNB images. Using wavelet decomposition and change detection analysis to evaluate spatial property and change detection capability, it was found that the Luojia-1 images provide abundant spatial detail information, with about 20%–54% energy of wavelet component of the images stored in 100–400 m resolutions, and they can help to track the electrification of new roads and buildings at a fine resolution. This study shows that the Luojia-1 images are an effective data source for analysing spatiotemporal distribution of night-time light and its associated socioeconomic attributes. |
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2150-704X |
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GFZ @ kyba @ |
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2199 |
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Tauc, M.J.; Fristrup, K.M.; Repasky, K.S.; Shaw, J.A. |
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Field demonstration of a wing-beat modulation lidar for the 3D mapping of flying insects |
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Journal Article |
| Year |
2019 |
Publication |
OSA Continuum |
Abbreviated Journal |
OSA Continuum |
| Volume |
2 |
Issue |
2 |
Pages |
332 |
| Keywords |
Instrumentation; Animals |
| Abstract |
We describe a wing-beat modulation lidar system designed for the 3D mapping of flying insects in ecological or entomological studies. To better understand the signals from this instrument, we analyzed simulated signals to identify how they were affected by various imperfections, such as variations in the spacing and amplitude of each individual wing-beat reflection. In addition, a radiometric model was used to estimate signal-to-noise ratio to gain insight into the relationships between the optical system design and insect parameters (e.g., wing size, reflectivity, or diffusivity). |
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2578-7519 |
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GFZ @ kyba @ |
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2209 |
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Zheng, Q.; Weng, Q.; Wang, K. |
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Developing a new cross-sensor calibration model for DMSP-OLS and Suomi-NPP VIIRS night-light imageries |
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Journal Article |
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2019 |
Publication |
ISPRS Journal of Photogrammetry and Remote Sensing |
Abbreviated Journal |
ISPRS Journal of Photogrammetry and Remote Sensing |
| Volume |
153 |
Issue |
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36-47 |
| Keywords |
Remote Sensing; Instrumentation |
| Abstract |
Night-time light (NTL) data provides a great opportunity to monitor human activities and settlements. Currently, global-scale NTL data are acquired by two satellite sensors, i.e., DMSP-OLS and VIIRS, but the data collected by the satellites are not compatible. To address this issue, we proposed a method for generating long-term and consistent NTL data. First, a logistic model was employed to estimate and smooth the missing DMSP-OLS data. Second, the Lomb-Scargle Periodogram technique was used to statistically examine the presence of seasonality of monthly VIIRS time series. The seasonal effect, noisy and unstable observations in VIIRS were eliminated by the BFAST time-series decomposition algorithm. Then, we proposed a residuals corrected geographically weighted regression model (GWRc) to generate DMSP-like VIIRS data. A consistent NTL time series from 1996 to 2017 was formed by combining the DMSP-OLS and synthetic DMSP-like VIIRS data. Our assessment shows that the proposed GWRc model outperformed existing methods (e.g., power function model), yielding a lower regression RMSE (6.36), a significantly improved pixel-level NTL intensity consistency (SNDI = 82.73, R2 = 0.986) and provided more coherent results when used for urban area extraction. The proposed method can be used to extend NTL time series, and in conjunction with the upcoming yearly VIIRS data and Black Marble daily VIIRS data, it is possible to support long-term NTL-based studies such as monitoring light pollution in ecosystems, and mapping human activities. |
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0924-2716 |
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GFZ @ kyba @ |
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2361 |
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