On-orbit calibration of an ocean color sensor with an underflight of the airborne visible/infrared imaging spectrometer (AVIRIS)

To calibrate the low signal response of the ocean color (OC) bands and test the stability of the Fengyun-3D (FY-3D)/Medium Resolution Spectral Imager II (MERSI-II), an absolute radiometric calibration field test of FY-3D/MERSI-II at the Lake Qinghai Radiometric Calibration Site (RCS) was carried out in August 2018. The lake surface and atmospheric parameters were mainly measured by advanced observation instruments, and the MODerate spectral resolution atmospheric TRANsmittance algorithm and computer model (MODTRAN4.0) was used to simulate the multiple scattering radiance value at the altitude of the sensor. The results showed that the relative deviations between bands 9 and 12 are within 5.0%, while the relative deviations of bands 8, and 13 are 17.1%, and 12.0%, respectively. The precision of the calibration method was verified by calibrating the Aqua/Moderate-resolution Imaging Spectroradiometer (MODIS) and National Polar-orbiting Partnership (NPP)/Visible Infrared Imaging Radiometer (VIIRS), and the deviation of the calibration results was evaluated with the results of the Dunhuang RCS calibration and lunar calibration. The results showed that the relative deviations of NPP/VIIRS were within 7.0%, and the relative deviations of Aqua/MODIS were within 4.1% from 400 nm to 600 nm. The comparisons of three on-orbit calibration methods indicated that band 8 exhibited a large attenuation after launch and the calibration results had good consistency at the other bands except for band 13. The uncertainty value of the whole calibration system was approximately 6.3%, and the uncertainty brought by the field surface measurement reached 5.4%, which might be the main reason for the relatively large deviation of band 13. This study verifies the feasibility of the vicarious calibration method at the Lake Qinghai RCS and provides the basis and reference for the subsequent on-orbit calibration of FY-3D/MERSI-II.

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The short life of the volcanic island New Late’iki (Tonga) analyzed by multi-sensor remote sensing data

Scientific Reports ◽

10.1038/s41598-020-79261-7 ◽

2020 ◽

Vol 10 (1) ◽

Author(s):

Simon Plank ◽

Francesco Marchese ◽

Nicola Genzano ◽

Michael Nolde ◽

Sandro Martinis

Keyword(s):

Infrared Imaging ◽

Rapid Change ◽

Monitoring Network ◽

Remote Sensing Data ◽

Volcanic Island ◽

Imaging Spectrometer ◽

Remote Areas ◽

Moderate Resolution ◽

Satellite Sensors ◽

Resolution Imaging

AbstractSatellite-based Earth observation plays a key role for monitoring volcanoes, especially those which are located in remote areas and which very often are not observed by a terrestrial monitoring network. In our study we jointly analyzed data from thermal (Moderate Resolution Imaging Spectrometer MODIS and Visible Infrared Imaging Radiometer Suite VIIRS), optical (Operational Land Imager and Multispectral Instrument) and synthetic aperture radar (SAR) (Sentinel-1 and TerraSAR-X) satellite sensors to investigate the mid-October 2019 surtseyan eruption at Late’iki Volcano, located on the Tonga Volcanic Arc. During the eruption, the remains of an older volcanic island formed in 1995 collapsed and a new volcanic island, called New Late’iki was formed. After the 12 days long lasting eruption, we observed a rapid change of the island’s shape and size, and an erosion of this newly formed volcanic island, which was reclaimed by the ocean two months after the eruption ceased. This fast erosion of New Late’iki Island is in strong contrast to the over 25 years long survival of the volcanic island formed in 1995.

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Calibration of Airborne Visible/Infrared Imaging Spectrometer Data (AVIRIS) to reflectance and mineral mapping in hydrothermal alteration zones: An example from the “Cuprite mining district”

Geocarto International ◽

10.1080/10106049409354457 ◽

1994 ◽

Vol 9 (3) ◽

pp. 23-37 ◽

Cited By ~ 10

Author(s):

Freek van der Meer

Keyword(s):

Hydrothermal Alteration ◽

Infrared Imaging ◽

Mining District ◽

Imaging Spectrometer ◽

Alteration Zones ◽

Mineral Mapping ◽

Hydrothermal Alteration Zones ◽

Spectrometer Data

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Analyzing Satellite Ocean Color Match-Up Protocols Using the Satellite Validation Navy Tool (SAVANT) at MOBY and Two AERONET-OC Sites

Remote Sensing ◽

10.3390/rs13142673 ◽

2021 ◽

Vol 13 (14) ◽

pp. 2673

Author(s):

Adam Lawson ◽

Jennifer Bowers ◽

Sherwin Ladner ◽

Richard Crout ◽

Christopher Wood ◽

...

Keyword(s):

Infrared Imaging ◽

Ocean Color ◽

Visible Spectrum ◽

Ground Truth ◽

Naval Research ◽

Satellite Validation ◽

The Difference ◽

Stability And Accuracy ◽

Satellite Ocean Color

The satellite validation navy tool (SAVANT) was developed by the Naval Research Laboratory to help facilitate the assessment of the stability and accuracy of ocean color satellites, using numerous ground truth (in situ) platforms around the globe and support methods for match-up protocols. The effects of varying spatial constraints with permissive and strict protocols on match-up uncertainty are evaluated, in an attempt to establish an optimal satellite ocean color calibration and validation (cal/val) match-up protocol. This allows users to evaluate the accuracy of ocean color sensors compared to specific ground truth sites that provide continuous data. Various match-up constraints may be adjusted, allowing for varied evaluations of their effects on match-up data. The results include the following: (a) the difference between aerosol robotic network ocean color (AERONET-OC) and marine optical Buoy (MOBY) evaluations; (b) the differences across the visible spectrum for various water types; (c) spatial differences and the size of satellite area chosen for comparison; and (d) temporal differences in optically complex water. The match-up uncertainty analysis was performed using Suomi National Polar-orbiting Partnership (SNPP) Visible Infrared Imaging Radiometer Suite (VIIRS) SNPP data at the AERONET-OC sites and the MOBY site. It was found that the more permissive constraint sets allow for a higher number of match-ups and a more comprehensive representation of the conditions, while the restrictive constraints provide better statistical match-ups between in situ and satellite sensors.

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Detection and Quantification of Snow Algae with an Airborne Imaging Spectrometer

Applied and Environmental Microbiology ◽

10.1128/aem.67.11.5267-5272.2001 ◽

2001 ◽

Vol 67 (11) ◽

pp. 5267-5272 ◽

Cited By ~ 73

Author(s):

Thomas H. Painter ◽

Brian Duval ◽

William H. Thomas ◽

Maria Mendez ◽

Sara Heintzelman ◽

...

Keyword(s):

Sierra Nevada ◽

Wavelength Range ◽

Spectral Reflectance ◽

Infrared Imaging ◽

Spectral Signature ◽

Absorption Feature ◽

Imaging Spectrometer ◽

Algal Concentration ◽

Airborne Imaging ◽

Spectrometer Data

ABSTRACT We describe spectral reflectance measurements of snow containing the snow alga Chlamydomonas nivalis and a model to retrieve snow algal concentrations from airborne imaging spectrometer data. Because cells of C. nivalis absorb at specific wavelengths in regions indicative of carotenoids (astaxanthin esters, lutein, β-carotene) and chlorophylls a and b, the spectral signature of snow containing C. nivalis is distinct from that of snow without algae. The spectral reflectance of snow containing C. nivalis is separable from that of snow without algae due to carotenoid absorption in the wavelength range from 0.4 to 0.58 μm and chlorophyll a and babsorption in the wavelength range from 0.6 to 0.7 μm. The integral of the scaled chlorophyll a and b absorption feature (I 0.68) varies with algal concentration (Ca ). Using the relationshipCa = 81019.2 I 0.68+ 845.2, we inverted Airborne Visible Infrared Imaging Spectrometer reflectance data collected in the Tioga Pass region of the Sierra Nevada in California to determine algal concentration. For the 5.5-km2 region imaged, the mean algal concentration was 1,306 cells ml−1, the standard deviation was 1,740 cells ml−1, and the coefficient of variation was 1.33. The retrieved spatial distribution was consistent with observations made in the field. From the spatial estimates of algal concentration, we calculated a total imaged algal biomass of 16.55 kg for the 0.495-km2 snow-covered area, which gave an areal biomass concentration of 0.033 g/m2.

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Visible and Infrared Imaging Spectrometer Applied in Small Solar System Body Exploration

5th International Symposium of Space Optical Instruments and Applications - Springer Proceedings in Physics ◽

10.1007/978-3-030-27300-2_15 ◽

2020 ◽

pp. 147-158

Author(s):

Bicen Li ◽

Baohua Wang ◽

Tong Wang ◽

Hao Zhang ◽

Weigang Wang

Keyword(s):

Solar System ◽

Infrared Imaging ◽

Imaging Spectrometer ◽

Solar System Body ◽

System Body

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Theoretical analysis of compact ultrahigh-spectral-resolution infrared imaging spectrometer

Optics Express ◽

10.1364/oe.395475 ◽

2020 ◽

Vol 28 (11) ◽

pp. 16616

Author(s):

Qinghua Yang

Keyword(s):

Theoretical Analysis ◽

Spectral Resolution ◽

Infrared Imaging ◽

Imaging Spectrometer

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Joint ESA and NASA Imaging Spectrometer Airborne Campaign to Support CHIME and SBG

10.5194/egusphere-egu21-13053 ◽

2021 ◽

Author(s):

Robert Green ◽

Michael Rast ◽

Michael Schaepman ◽

Andreas Hueni ◽

Michael Eastwood

Keyword(s):

Uncertainty Quantification ◽

Hyperspectral Imaging ◽

Infrared Imaging ◽

State Of The Art ◽

Atmospheric Correction ◽

Imaging Spectrometer ◽

Science Collaboration ◽

Study Sites ◽

University Of Zurich ◽

The University

<p>In 2018 a joint ESA and NASA airborne campaign was orchestrated with the University of Zurich to advance cooperation and harmonization of algorithms and products from imaging spectrometer measurements.&#160; This effort was intended to benefit the future candidate European Copernicus Hyperspectral Imaging Mission for the Environment (CHIME) and NASA Surface Biology and Geology mission. For this campaign, the Airborne Visible/Infrared Imaging Spectrometer Next Generation was deployed from May to July 2018.&#160; Twenty-four study sites were measured across Germany, Italy, and Switzerland.&#160; All measurements were rapidly calibrated, atmospherically corrected, and made available to NASA and ESA investigators.&#160; An expanded 2021 campaign is now planned with goals to: 1) further test and evaluate new state-of-the-art science algorithms: atmospheric correction, etc; 2) &#160;grow international science collaboration in support of ESA CHIME and NASA SBG; 3) test/demonstrate calibration, validation, and uncertainty quantification approaches;&#160; 4) collect strategic cross-comparison under flights of space missions: DESIS, PRISMA, Sentinels, etc.&#160; In this paper, we present an overview of the key results from the 2018 campaign and plans for the 2021 campaign.</p><p>&#160;</p>

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