| Records |
| 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 |
Type |
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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| Call Number |
GFZ @ kyba @ |
Serial |
2361 |
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| Author |
Allik, T.; Ramboyong, L.; Roberts, M.; Walters, M.; Soyka, T.; Dixon, R.; Cho, J. |
| Title |
Enhanced oil spill detection sensors in low-light environments |
Type |
Conference Article |
| Year |
2016 |
Publication |
Proc. SPIE 9827, Ocean Sensing and Monitoring VIII, 98270B (May 17, 2016) |
Abbreviated Journal |
Proc. SPIE 9827 |
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Issue |
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Pages |
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| Keywords |
Instrumentation; Sensors; Cameras; Long wavelength infrared; Short wave infrared radiation; Spectroscopy; Calibration; Remote sensing; Water; Near infrared; Night vision |
| Abstract |
Although advances have been made in oil spill remote detection, many electro-optic sensors do not provide real-time images, do not work well under degraded visual environments, nor provide a measure of extreme oil thickness in marine environments. A joint program now exists between BSEE and NVESD that addresses these capability gaps in remote sensing of oil spills. Laboratory experiments, calibration techniques, and field tests were performed at Fort Belvoir, Virginia; Santa Barbara, California; and the Ohmsett Test Facility in Leonardo, New Jersey. Weathered crude oils were studied spectroscopically and characterized with LWIR, and low-light-level visible/NIR, and SWIR cameras. We designed and fabricated an oil emulsion thickness calibration cell for spectroscopic analysis and ground truth, field measurements. Digital night vision cameras provided real-time, wide-dynamic-range imagery, and were able to detect and recognize oil from full sun to partial moon light. The LWIR camera provided quantitative oil analysis (identification) for >1 mm thick crude oils both day and night. Two filtered, co-registered, SWIR cameras were used to determine whether oil thickness could be measured in real time. Spectroscopic results revealed that oil emulsions vary with location and weathered state and some oils (e.g., ANS and Santa Barbara seeps) do not show the spectral rich features from archived Deep Water Horizon hyperspectral data. Multi-sensor imagery collected during the 2015 USCG Airborne Oil Spill Remote Sensing and Reporting Exercise and the design of a compact, multiband imager are discussed. |
| Address |
Active EO Inc. |
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| Publisher |
SPIE |
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| Language |
English |
Summary Language |
English |
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IDA @ john @ |
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1475 |
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Sánchez de Miguel, A.; Bará, S.; Aubé, M.; Cardiel, N.; Tapia, C.E.; Zamorano, J.; Gaston, K.J. |
| Title |
Evaluating Human Photoreceptoral Inputs from Night-Time Lights Using RGB Imaging Photometry |
Type |
Journal Article |
| Year |
2019 |
Publication |
Journal of Imaging |
Abbreviated Journal |
J. Imaging |
| Volume |
5 |
Issue |
4 |
Pages |
49 |
| Keywords |
Human Health; Remote Sensing; Instrumentation |
| Abstract |
Night-time lights interact with human physiology through different pathways starting at the retinal layers of the eye; from the signals provided by the rods; the S-, L- and M-cones; and the intrinsically photosensitive retinal ganglion cells (ipRGC). These individual photic channels combine in complex ways to modulate important physiological processes, among them the daily entrainment of the neural master oscillator that regulates circadian rhythms. Evaluating the relative excitation of each type of photoreceptor generally requires full knowledge of the spectral power distribution of the incoming light, information that is not easily available in many practical applications. One such instance is wide area sensing of public outdoor lighting; present-day radiometers onboard Earth-orbiting platforms with sufficient nighttime sensitivity are generally panchromatic and lack the required spectral discrimination capacity. In this paper, we show that RGB imagery acquired with off-the-shelf digital single-lens reflex cameras (DSLR) can be a useful tool to evaluate, with reasonable accuracy and high angular resolution, the photoreceptoral inputs associated with a wide range of lamp technologies. The method is based on linear regressions of these inputs against optimum combinations of the associated R, G, and B signals, built for a large set of artificial light sources by means of synthetic photometry. Given the widespread use of RGB imaging devices, this approach is expected to facilitate the monitoring of the physiological effects of light pollution, from ground and space alike, using standard imaging technology. |
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2313-433X |
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no |
| Call Number |
GFZ @ kyba @ |
Serial |
2294 |
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| Author |
Qiu, S.; Shao, X.; Cao, C.; Uprety, S. |
| Title |
Feasibility demonstration for calibrating Suomi-National Polar-Orbiting Partnership Visible Infrared Imaging Radiometer Suite day/night band using Dome C and Greenland under moon light |
Type |
Journal Article |
| Year |
2016 |
Publication |
Journal of Applied Remote Sensing |
Abbreviated Journal |
J. Appl. Remote Sens |
| Volume |
10 |
Issue |
1 |
Pages |
016024 |
| Keywords |
Remote Sensing; Instrumentation |
| Abstract |
The day/night band (DNB) of the Visible Infrared Imaging Radiometer Suite (VIIRS) onboard Suomi National Polar-orbiting Partnership (Suomi-NPP) represents a major advancement in night time imaging capabilities. DNB covers almost seven orders of magnitude in its dynamic range from full sunlight to half-moon. To achieve this large dynamic range, it uses four charge-coupled device arrays in three gain stages. The low gain stage (LGS) gain is calibrated using the solar diffuser. In operations, the medium and high gain stage values are determined by multiplying the gain ratios between the medium gain stage, and LGS, and high gain stage (HGS) and LGS, respectively. This paper focuses on independently verifying the radiometric accuracy and stability of DNB HGS using DNB observations of ground vicarious calibration sites under lunar illumination at night. Dome C in Antarctica in the southern hemisphere and Greenland in the northern hemisphere are chosen as the vicarious calibration sites. Nadir observations of these high latitude regions by VIIRS are selected during perpetual night season, i.e., from April to August for Dome C and from November to January for Greenland over the years 2012 to 2013. Additional selection criteria, such as lunar phase being more than half-moon and no influence of straylight effects, are also applied in data selection. The lunar spectral irradiance model, as a function of Sun–Earth–Moon distances and lunar phase, is used to determine the top-of-atmosphere reflectance at the vicarious site. The vicariously derived long-term reflectance from DNB observations agrees with the reflectance derived from Hyperion observations. The vicarious trending of DNB radiometric performance using DOME-C and Greenland under moon light shows that the DNB HGS radiometric variability (relative accuracy to lunar irradiance model and Hyperion observation) is within 8%. Residual variability is also discussed. |
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1931-3195 |
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LoNNe @ kyba @ |
Serial |
1372 |
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| Author |
Tauc, M.J.; Fristrup, K.M.; Repasky, K.S.; Shaw, J.A. |
| Title |
Field demonstration of a wing-beat modulation lidar for the 3D mapping of flying insects |
Type |
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 @ |
Serial |
2209 |
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