Feasibility of a specialized ground light source for night-time low-light calibration

Hu, Shensen; Ma, Shuo; Yan, Wei; Wei, Lixiang; Zhao, Xianbin

doi:10.1080/01431161.2018.1430915

Cited by 12 publications

(3 citation statements)

References 18 publications

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“…A temporally consistent NTL time series extending from DMSP/OLS to VIIRS/DNB is highly desirable, yet still a huge challenge, due to differences in passing time, onboard calibration, spatial resolution, and other considerations (see , as well as Zheng et al, 2019, for examples of inter-calibration between DMSP/OLS and VIIRS/DNB). Ground-based stable and radiometrically calibrated light sources may offer a useful approach for inter-calibration between night-time lights sensors, as well as for validating the performance of these sensors, as attempted by Hu et al (2018b) and Ryan et al (2019).…”

Section: Consistent Nightlight Time Series Across Different Platforms and Sensorsmentioning

confidence: 99%

Remote sensing of night lights: A review and an outlook for the future

Levin

Kyba

Zhang³

et al. 2020

Remote Sensing of Environment

547

247

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Remote sensing of night light emissions in the visible band offers a unique opportunity to directly observe human activity from space. This has allowed a host of applications including mapping urban areas, estimating population and GDP, monitoring disasters and conflicts. More recently, remotely sensed night lights data have found use in understanding the environmental impacts of light emissions (light pollution), including their impacts on human health. In this review, we outline the historical development of night-time optical sensors up to the current state of the art sensors, highlight various applications of night light data, discuss the special challenges associated with remote sensing of night lights with a focus on the limitations of current sensors, and provide an outlook for the future of remote sensing of night lights. While the paper mainly focuses on space borne remote sensing, ground based sensing of night-time brightness for studies on astronomical and ecological light pollution, as well as for calibration and validation of space borne data, are also discussed. Although the development of night light sensors lags behind day-time sensors, we demonstrate that the field is in a stage of rapid development.The worldwide transition to LED lights poses a particular challenge for remote sensing of night lights, and strongly highlights the need for a new generation of space borne night lights instruments. This work shows that future sensors are needed to monitor temporal changes during the night (for example from a geostationary platform or constellation of satellites), and to better understand the angular patterns of light emission (roughly analogous to the BRDF in daylight sensing). Perhaps most importantly, we make the case that higher spatial resolution and multispectral sensors covering the range from blue to NIR are needed to more effectively identify lighting technologies, map urban functions, and monitor energy use.

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Section: Consistent Nightlight Time Series Across Different Platforms and Sensorsmentioning

confidence: 99%

Remote sensing of night lights: A review and an outlook for the future

Levin

Kyba

Zhang³

et al. 2020

Remote Sensing of Environment

547

247

View full text Add to dashboard Cite

show abstract

“…Therefore, ground light source-active calibration methods require light sources with long-term stability and direct upward radiation emission capabilities. Hu et al [13] conducted long-term monitoring of Dunhuang radiation correction field light sources, analyzed DNB imaging rules of target pixels under different observation geometric conditions, and developed a ground light source with stable radiation intensity and uniform directionality in all directions. However, these ground light sources are easily influenced by other light sources, and the type, position, and other factors of ground light sources are difficult to measure directly.…”

Section: Introductionmentioning

confidence: 99%

Applicability Analysis of Three Atmospheric Radiative Transfer Models in Nighttime

He,

Zhang,

Liu

et al. 2024

Atmosphere

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The relatively stable lunar illumination may be used to realize radiometric calibration under low light. However, there is still an insufficient understanding of the accuracy of models and the influence of parameters when conducting research on low-light radiometric calibration. Therefore, this study explores the applicability of three atmospheric radiative transfer models under different nighttime conditions. The simulation accuracies of three nighttime atmospheric radiative transfer models (Night-SCIATRAN, Night-MODTRAN, and Night-6SV) were evaluated using the visible-infrared imaging radiometer suite day/night band (VIIRS/DNB) data. The results indicate that Night-MODTRAN has the highest simulation accuracy under DNB. The consistency between simulated top-of-atmosphere (TOA) radiance and DNB radiance is approximately 3.1%, and uncertainty is 2.5%. This study used Night-MODTRAN for parameter sensitivity analysis. The results indicate that for the lunar phase angle, aerosol optical depth, surface reflectance, lunar zenith angle, satellite zenith angle, and relative azimuth angle, the average change rates are 68%, 100%, 2561%, 75%, 20%, and 0%. This paper can help better understand the performance of models under different atmospheric and geographical conditions, as well as whether existing models can simulate the complex processes of atmospheric radiation.

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“…On-orbit calibration measures the surface radiometric characteristics and atmospheric parameters synchronously at the transit time of the satellite to calibrate the radiance of the remote sensing sensor. Hu et al [19] used a ground active light source synchronized with the satellite to calibrate the DNB (day/night band) radiometric response of the Suomi-NPP satellite at the high gain band. However, the on-orbit calibration method requires synchronous observation of the satellite, which is both material and labor-intensive.…”

Section: Introductionmentioning

confidence: 99%

On-Orbit Radiance Calibration of Nighttime Sensor of LuoJia1-01 Satellite Based on Lunar Observations

Jiang

Shi

et al. 2019

Remote Sensing

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The high-resolution nighttime light (NTL) data of the LuoJia1-01 NTL remote sensing satellite has enriched the available data of NTL remote sensing applications. The radiance calibration used as a reference to convert the digital number (DN) recorded by the nighttime sensor into the radiance of the corresponding ground object is the basic premise to the effective application of the NTL data. Owing to the lack of on-board calibration equipment and the absence of an absolute radiometric calibration light source at night, it is difficult for LuoJia1-01 to carry out on-orbit radiance calibration. The moon, as an exoatmospheric stable radiation source, is widely used for the radiometric calibration of remote sensing satellite sensors and to monitor the stability of the visible and near-infrared sensors. This study, based on lunar observation of the LuoJia1-01 NTL sensor, focused on on-orbit radiometric calibration and included monitoring changes in the nighttime sensor radiometric response for nearly a year by using the Robotic Lunar Observatory (ROLO) lunar irradiance model (Version 311 g). The results showed that: (1) the consistency of the radiometric calibration results based on the ROLO model and the laboratory calibration results of LuoJia1-01 exceeded 90%; (2) the nighttime sensor of LuoJia1-01 radiometric response underwent approximately 6% degradation during the observation period of nearly one year (353 days).

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Feasibility of a specialized ground light source for night-time low-light calibration

Cited by 12 publications

References 18 publications

Remote sensing of night lights: A review and an outlook for the future

Remote sensing of night lights: A review and an outlook for the future

Applicability Analysis of Three Atmospheric Radiative Transfer Models in Nighttime

On-Orbit Radiance Calibration of Nighttime Sensor of LuoJia1-01 Satellite Based on Lunar Observations

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