Astronaut Photography: Handheld Camera Imagery from Low Earth Orbit

Stefanov, William L.; Evans, Cynthia A.; Runco, Susan; Wilkinson, M. Justin; Higgins, Melissa; Willis, Kim

doi:10.1007/978-1-4614-6423-5_39-3

Cited by 6 publications

(6 citation statements)

References 21 publications

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“…The emissions of the artificial light sources can be partially monitored using instruments on Earth orbiting platforms, like the Visible Infrared Imaging Radiometer Suite Day/Night Band (VIIRS-DNB) onboard the Suomi National Polar-orbiting Partnership (Suomi-NPP) satellite [14], the digital single-lens reflex (DSLR) RGB images captured by the Crew Earth Observation facility of the International Space Station [15,16], or the new generations of nighttime Earth monitoring satellites [17,18]. However, evaluating the effects of these emissions on the night sky brightness under changing meteorological conditions requires extensive ground-based observations.…”

Section: Introductionmentioning

confidence: 99%

Absolute Radiometric Calibration of TESS-W and SQM Night Sky Brightness Sensors

Bará

Tapia

Zamorano

2019

Sensors

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We develop a general optical model and describe the absolute radiometric calibration of the readings provided by two widely-used night sky brightness sensors based on irradiance-to-frequency conversion. The calibration involves the precise determination of the overall spectral sensitivity of the devices and also the constant G relating the output frequency of the light-to-frequency converter chip to the actual band-weighted and field-of-view averaged spectral radiance incident on the detector (brightness). From these parameters, we show how to define a rigorous astronomical absolute photometric system in which the sensor measurements can be reported in units of magnitudes per square arcsecond with precise physical meaning.

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Section: Introductionmentioning

confidence: 99%

Absolute Radiometric Calibration of TESS-W and SQM Night Sky Brightness Sensors

Bará

Tapia

Zamorano

2019

Sensors

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“…Astronauts have been photographing the Earth surface from low Earth orbit since the Mercury missions of the 1960s to the present ISS crews (Stefanov et al, 2013). The astronaut photography dataset (available online at http://eol.jsc.nasa.gov) covers much of the earth's land and coastal surface, as well as atmospheric phenomena such as hurricanes and aurora.…”

Section: Crew Earth Observations Facilitymentioning

confidence: 99%

Data Collection for Disaster Response from the International Space Station

Stefanov

Evans

2015

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:Remotely sensed data acquired by orbital sensor systems has emerged as a vital tool to identify the extent of damage resulting from a natural disaster, as well as providing near-real time mapping support to response efforts on the ground and humanitarian aid efforts. The International Space Station (ISS) is a unique terrestrial remote sensing platform for acquiring disaster response imagery. Unlike automated remote-sensing platforms it has a human crew; is equipped with both internal and externally-mounted remote sensing instruments; and has an inclined, low-Earth orbit that provides variable views and lighting (day and night) over 90 percent of the inhabited surface of the Earth. As such, it provides a useful complement to autonomous sensor systems in higher altitude polar orbits. NASA remote sensing assets on the station began collecting International Charter, Space and Major Disasters, also known informally as the International Disaster Charter (IDC) response data in May 2012. Since the start of IDC response in 2012, and as of late March 2015, there have been 123 IDC activations; NASA sensor systems have collected data for thirty-four of these events. Of the successful data collections, eight involved two or more ISS sensor systems responding to the same event.

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“…The connection between breast cancer incidence rate and artificial light-at-night intensities was modeled by VIIRS/DNB and DMSP/OLS data, and the model built by VIIRS/DNB better predicts the distribution than that of DMSP/OLS [11]. Astronaut photography from the International Space Station (ISS) is another fine spatial resolution NTL data source [12]. Due to its fine resolution and its multi-spectral band characteristics, it is used in assessing light pollution at the regional scale.…”

Section: Introductionmentioning

confidence: 99%

Assessing Light Pollution Using POI and Luojia1-01 Night-Time Imagery From a Quantitative Perspective at City Scale

Zhao

Chu

et al. 2021

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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In previous studies using night-time light (NTL) image in analyzing light pollution, most of the researchers focused on national or regional scale analysis. While in this article we focus on the perception of light pollution's influence to the environment of human settlement. We propose an analysis method mainly utilizing NTL images and a city's point of interest (POI) data to assess the light pollution from the aspect of its impact on the environment of city residents. The method quickly provides light pollution analysis at a fine spatial scale. We also address the POI data in a novel aggregating algorithm to better construct the area of interest, which can conquer the limitation of spatial resolution of NTL data in some extent. By doing the assessment in two Chinese medium-size cities, light pollution sources, the pollution level for each residence are found and analyzed. Furthermore, several light pollution patterns are discovered and interpreted. The result of the experiment demonstrates our assessment method provides a fast way to analyze light pollution patterns and can show the detailed light pollution situation in a city. Index Terms-Night-time light (NTL), point of interest (POI), remote monitoring, urban light pollution.

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Astronaut Photography: Handheld Camera Imagery from Low Earth Orbit

Cited by 6 publications

References 21 publications

Absolute Radiometric Calibration of TESS-W and SQM Night Sky Brightness Sensors

Absolute Radiometric Calibration of TESS-W and SQM Night Sky Brightness Sensors

Data Collection for Disaster Response from the International Space Station

Assessing Light Pollution Using POI and Luojia1-01 Night-Time Imagery From a Quantitative Perspective at City Scale

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