Imaging Spectroscopy and the Airborne Visible/Infrared Imaging Spectrometer (AVIRIS)

1998 ◽  
Vol 65 (3) ◽  
pp. 227-248 ◽  
Author(s):  
Robert O Green ◽  
Michael L Eastwood ◽  
Charles M Sarture ◽  
Thomas G Chrien ◽  
Mikael Aronsson ◽  
...  
Keyword(s):  
Infrared Imaging ◽  
Imaging Spectroscopy ◽  
Imaging Spectrometer

scholarly journals Use of Imaging Spectroscopy for Mapping and Quantifying the Weathering Degree of Tropical Soils in Central Brazil

2011 ◽  
Vol 2011 ◽  
pp. 1-7 ◽  
Author(s):  
Gustavo M. M. Baptista ◽  
Rodrigo S. Corrêa ◽  
Perseu F. dos Santos ◽  
José S. Madeira Netto ◽  
Paulo R. Meneses
Keyword(s):  
Infrared Imaging ◽  
Imaging Spectroscopy ◽  
Tropical Soils ◽  
Gravimetric Analysis ◽  
Spectral Absorption ◽  
Imaging Spectrometer ◽  
Central Brazil ◽  
Weathering Degree ◽  
Brazilian Soils ◽  
Absorption Features

The purpose of this study was to test the feasibility of applying AVIRIS sensor (Airborne Visible/InfraRed Imaging Spectrometer) for mapping and quantifying mineralogical components of three Brazilian soils, a reddish Oxisol in São João D'Aliança area (SJA) and a dark reddish brown Oxisol and Ultisol in Niquelândia (NIQ) counties, Goiás State. The study applied the spectral index RCGb [kaolinite/(kaolinite + gibbsite) ratio] and was based on spectral absorption features of these two minerals.The RCGb index was developed for the evaluation of weathering degrees of various Brazilian soils and was validated by the analysis of soil samples spectra imaged by AVIRIS and checked against laboratory mineralogical quantification (TGA:Thermal Gravimetric Analysis). Results showed to be possible mapping and quantifying the weathering degree of the studied soils and that the two selected areas presented different weathering degrees of their soils even for a same soil type.

Validation airborne visible-infrared imaging spectrometer data at Ray Mine, Arizona

2000 ◽  
Vol 6 (3) ◽  
pp. 187-200 ◽  
Author(s):  
Harold R. Lang ◽  
Steven M. Baloga
Keyword(s):  
Infrared Imaging ◽  
Imaging Spectroscopy ◽  
Reflectance Spectra ◽  
Open Pit ◽  
Imaging Spectrometer ◽  
Diagnostic Statistics ◽  
Field Reflectance ◽  
Surface Mineralogy ◽  
Spectrometer Data ◽  
Comparable Quality

Abstract The fundamental promise of imaging spectroscopy is to provide surface mineralogy based on remotely-acquired, gridded reflectance spectra of comparable quality to those from high resolution laboratory and field spectrometers. For regulatory and environmental monitoring, validating imaging spectrometer data is a major issue with this emerging technology. In this paper we validate 1997 Airborne Visible-Infrared Imaging Spectrometer (AVIRIS) reflectance spectra covering 0.4 mu m-2.4 mu m at a stable, flat, manmade target at Ray Mine, Arizona, for EPA/NASA assessment of the utility of remote sensing for monitoring acid drainage from an active open pit copper mine. For validation, we a) compare qualitatively, laboratory and field reflectance spectra with corresponding AVIRIS spectra; b) compare quantitatively, mineralogically diagnostic statistics from field spectra with the same statistics from field spectra with the same statistics from AVIRIS spectra; and c) demonstrate a methodology for validating imaging spectrometer data for environmental applications.

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).

Shortwave Infrared Imaging Spectroscopy for Analysis of Ancient Paintings

2016 ◽  
Vol 71 (5) ◽  
pp. 977-987 ◽  
Author(s):  
Taixia Wu ◽  
Guanghua Li ◽  
Zehua Yang ◽  
Hongming Zhang ◽  
Yong Lei ◽  
...  
Keyword(s):  
Infrared Imaging ◽  
Imaging Spectroscopy ◽  
Principal Component ◽  
Hyperspectral Data ◽  
Favorable Effect ◽  
Imaging Spectrometer ◽  
Spectral Technique ◽  
Swir Band ◽  
Line Features ◽  
Shortwave Infrared

Spectral analysis is one of the main non-destructive techniques used to examine cultural relics. Hyperspectral imaging technology, especially on the shortwave infrared (SWIR) band, can clearly extract information from paintings, such as color, pigment composition, damage characteristics, and painting techniques. All of these characteristics have significant scientific and practical value in the study of ancient paintings and other relics and in their protection and restoration. In this study, an ancient painting, numbered Gu-6541, which had been found in the Forbidden City, served as a sample. A ground-based SWIR imaging spectrometer was used to produce hyperspectral images with high spatial and spectral resolution. Results indicated that SWIR imaging spectral data greatly facilitates the extraction of line features used in drafting, even using a single band image. It can be used to identify and classify mineral pigments used in paintings. These images can detect alterations and traces of daub used in painting corrections and, combined with hyperspectral data analysis methods such as band combination or principal component analysis, such information can be extracted to highlight outcomes of interest. In brief, the SWIR imaging spectral technique was found to have a highly favorable effect on the extraction of line features from drawings and on the identification of colors, classification of paintings, and extraction of hidden information.

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.

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