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

2020 ◽  
Vol 28 (11) ◽  
pp. 16616
Author(s):  
Qinghua Yang
Keyword(s):  
Theoretical Analysis ◽  
Spectral Resolution ◽  
Infrared Imaging ◽  
Imaging Spectrometer

VIRTIS-H: a high-spectral-resolution channel for the Rosetta infrared imaging spectrometer

2000 ◽  
Author(s):  
Pierre Drossart ◽  
Alain Semery ◽  
Marc Bouye ◽  
Yann Hello ◽  
Gerard Huntzinger ◽  
...  
Keyword(s):  
Spectral Resolution ◽  
Infrared Imaging ◽  
High Spectral Resolution ◽  
Imaging Spectrometer

Near-Infrared Imaging Spectroscopy of the Seyfert Nucleus of the Circinus Galaxy

1997 ◽  
Vol 159 ◽  
pp. 351-352
Author(s):  
R. Maiolino ◽  
N. Thatte ◽  
H. Kroker ◽  
J.F. Gallimore ◽  
R. Genzel
Keyword(s):  
Adaptive Optics ◽  
Spectral Resolution ◽  
Near Infrared ◽  
Infrared Imaging ◽  
Imaging Spectroscopy ◽  
Near Infrared Imaging ◽  
Imaging Spectrometer ◽  
First Order ◽  
Seyfert Nucleus ◽  
Adaptive Optics System

The Circinus galaxy is a nearby (4 Mpc) spiral that hosts a Seyfert nucleus as deduced by the emission of intense coronal lines (Oliva et al. 1994) and by the prominent ionization cone observed in [O III] images (Marconi et al. 1994).We present K-band imaging spectroscopy of the nucleus of this galaxy obtained by means of 3D, the MPE imaging spectrometer (Weitzel et al. 1996), and ROGUE, a first-order adaptive-optics system (Thatte et al. 1995), mounted on the 2.2-m ESO telescope. The spectral resolution is 1000 and the average optical seeing was about 0”.6 (= 12 pc at the source).

scholarly journals Potential of next-generation imaging spectrometers to detect and quantify methane point sources from space

2019 ◽  
Vol 12 (10) ◽  
pp. 5655-5668 ◽  
Author(s):  
Daniel H. Cusworth ◽  
Daniel J. Jacob ◽  
Daniel J. Varon ◽  
Christopher Chan Miller ◽  
Xiong Liu ◽  
...  
Keyword(s):  
Spectral Resolution ◽  
Infrared Imaging ◽  
Signal To Noise Ratio ◽  
Optimal Estimation ◽  
Estimation Algorithm ◽  
Point Sources ◽  
Atmospheric Methane ◽  
Next Generation ◽  
Pixel Resolution ◽  
Imaging Spectrometer

Abstract. We examine the potential for global detection of methane plumes from individual point sources with the new generation of spaceborne imaging spectrometers (EnMAP, PRISMA, EMIT, SBG, CHIME) scheduled for launch in 2019–2025. These instruments are designed to map the Earth's surface at high spatial resolution (30 m×30 m) and have a spectral resolution of 7–10 nm in the 2200–2400 nm band that should also allow useful detection of atmospheric methane. We simulate scenes viewed by EnMAP (10 nm spectral resolution, 180 signal-to-noise ratio) using the EnMAP end-to-end simulation tool with superimposed methane plumes generated by large-eddy simulations. We retrieve atmospheric methane and surface reflectivity for these scenes using the IMAP-DOAS optimal estimation algorithm. We find an EnMAP precision of 3 %–7 % for atmospheric methane depending on surface type. This allows effective single-pass detection of methane point sources as small as 100 kg h−1 depending on surface brightness, surface homogeneity, and wind speed. Successful retrievals over very heterogeneous surfaces such as an urban mosaic require finer spectral resolution. We tested the EnMAP capability with actual plume observations over oil/gas fields in California from the Airborne Visible/Infrared Imaging Spectrometer – Next Generation (AVIRIS-NG) sensor (3 m×3 m pixel resolution, 5 nm spectral resolution, SNR 200–400), by spectrally and spatially downsampling the AVIRIS-NG data to match EnMAP instrument specifications. Results confirm that EnMAP can successfully detect point sources of ∼100 kg h−1 over bright surfaces. Source rates inferred with a generic integrated mass enhancement (IME) algorithm were lower for EnMAP than for AVIRIS-NG. Better agreement may be achieved with a more customized IME algorithm. Our results suggest that imaging spectrometers in space could play an important role in the future for quantifying methane emissions from point sources worldwide.

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

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.

scholarly journals Detection and Quantification of Snow Algae with an Airborne Imaging Spectrometer

2001 ◽  
Vol 67 (11) ◽  
pp. 5267-5272 ◽  
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.

Sacrificial charge and the spectral resolution performance of the Chandra advanced CCD imaging spectrometer

2003 ◽  
Author(s):  
Catherine E. Grant ◽  
Gregory Y. Prigozhin ◽  
Beverly LaMarr ◽  
Mark W. Bautz
Keyword(s):  
Spectral Resolution ◽  
Imaging Spectrometer ◽  
Ccd Imaging

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

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.  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.  Twenty-four study sites were measured across Germany, Italy, and Switzerland.  All measurements were rapidly calibrated, atmospherically corrected, and made available to NASA and ESA investigators.  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)  grow international science collaboration in support of ESA CHIME and NASA SBG; 3) test/demonstrate calibration, validation, and uncertainty quantification approaches;  4) collect strategic cross-comparison under flights of space missions: DESIS, PRISMA, Sentinels, etc.  In this paper, we present an overview of the key results from the 2018 campaign and plans for the 2021 campaign.</p><p> </p>

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