Records |
Author |
Downey, J.W. |
Title |
Determination of minimum light sense and retinal dark adaptation with presentation of a new type of photometer |
Type |
Journal Article |
Year |
1919 |
Publication |
American Journal of Ophthalmology |
Abbreviated Journal |
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Volume |
2 |
Issue |
1 |
Pages |
13-20 |
Keywords |
Vision; Instrumentation |
Abstract |
This paper reviews the principal hypotheses with reference to light and dark adaptation, and suggests a practical photometer, using a radioactive substance as a standard of comparison. With three illustrations, and experimental findings with this instrument. |
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GFZ @ kyba @ |
Serial  |
2418 |
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Author |
Elvey, C.T.; Roach, F.E. |
Title |
A Photoelectric Study of the Light from the Night Sky |
Type |
Journal Article |
Year |
1937 |
Publication |
The Astrophysical Journal |
Abbreviated Journal |
ApJL |
Volume |
85 |
Issue |
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Pages |
213 |
Keywords |
Instrumentation; Sky Brightness |
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0004-637X |
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GFZ @ kyba @ |
Serial  |
2399 |
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Author |
Rayleigh, L. |
Title |
A Photoelectric Method of Measuring the Light of the Night Sky with Studies of the Course of Variation through the Night |
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Journal Article |
Year |
1929 |
Publication |
Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences |
Abbreviated Journal |
Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences |
Volume |
124 |
Issue |
794 |
Pages |
395-408 |
Keywords |
Instrumentation; Night Sky Brightness |
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1364-5021 |
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GFZ @ kyba @ |
Serial  |
2396 |
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Author |
Zheng, Q.; Weng, Q.; Wang, K. |
Title |
Developing a new cross-sensor calibration model for DMSP-OLS and Suomi-NPP VIIRS night-light imageries |
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Journal Article |
Year |
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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Pages |
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 @ |
Serial  |
2361 |
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Author |
Gu, Y., Uprety, S., Blonski, S., Zhang, B., & Cao, C. |
Title |
Improved algorithm for determining the Visible Infrared Imaging Radiometer Suite Day/Night Band high-gain stage dark offset free from light contamination |
Type |
Journal Article |
Year |
2019 |
Publication |
Applied Optics |
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Volume |
58 |
Issue |
6 |
Pages |
1400-1407 |
Keywords |
Remote Sensing; Instrumentation |
Abstract |
Dark offset is one of the key parameters for Visible Infrared Imaging Radiometer Suite (VIIRS) Day/Night Band (DNB) high-gain stage (HGS) radiometric calibration, whose accuracy strongly impacts applications of DNB low-light detection for Earth observation at nighttime. Currently, DNB observation of the VIIRS onboard calibrator blackbody (OBCBB) view, together with its observation of deep space during the spacecraft pitch maneuver performed early in the mission, has been used to compute the HGS dark offset continuously. However, the relationship between the DNB OBCBB data and the Earth view (EV) data is unclear due to electronic timing differences between these two views. It is questionable whether the DNB OBCBB data can monitor the EV HGS dark offset change. Through comprehensive analysis of the DNB OBCBB data and EV data acquired from the monthly special acquisitions known as the VIIRS recommended operating procedures (VROPs), we have shown that the OBCBB data can only track the dark current component of the DNB HGS EV dark offset, instead of the total dark offset. The DNB observation of deep space during the spacecraft pitch maneuver was also contaminated by starlight. With such background, in this paper we propose an improved algorithm for determining the DNB HGS dark offset. By combined use of the DNB OBCBB data and the DNB VROP data, the generated DNB HGS dark offset is both free from light contamination and capable of tracking continuous drift. The improved algorithm could potentially improve the DNB radiometric performance at low radiance level. Our results provide a solid theoretical basis for dark offset calibration of the VIIRS DNB onboard Suomi National Polar-Orbiting Partnership satellite and the following Joint Polar Satellite System satellites. |
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Call Number |
IDA @ intern @ |
Serial  |
2358 |
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