Assessing fire severity using imaging spectroscopy data from the Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) and comparison with multispectral capabilities

The soil minerals determine essential soil properties such as the cation exchange capacity, texture, structure, and their capacity to form bonds with organic matter. Any alteration of these organo-mineral interactions due to the soil moisture variations needs attention. Visible near-infrared imaging spectroscopy is capable of assessing spectral soil constituents that are responsible for the organo-mineral interactions. In this study, we hypothesized that the alterations of the surface soil mineralogy occur due to the moisture variations. For eight weeks, under laboratory conditions, imaging spectroscopy data were collected on a 72 h basis for three Silty Loam soils varying in the organic matter (no, low and high) placed at the drying-field capacity, field capacity and waterlogging-field capacity treatments. Using the Spectral Information Divergence image classifier, the image area occupied by the Mg-clinochlore, goethite, quartz coated 50% by goethite, hematite dimorphous with maghemite was detected and quantified (percentage). Our results showed these minerals behaved differently, depending on the soil type and soil treatment. While for the soils with organic matter, the mineralogical alterations were evident at the field capacity state, for the one with no organic matter, these changes were insignificant. Using imaging spectroscopy data on the Silty Loam soil, we showed that the surface mineralogy changes over time due to the moisture conditions.

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Thermal removal from near-infrared imaging spectroscopy data of the Moon

Journal of Geophysical Research Atmospheres ◽

10.1029/2010je003751 ◽

2011 ◽

Vol 116 ◽

Cited By ~ 69

Author(s):

Roger N. Clark ◽

Carlé M. Pieters ◽

Robert O. Green ◽

J. W. Boardman ◽

Noah E. Petro

Keyword(s):

Near Infrared ◽

Infrared Imaging ◽

Imaging Spectroscopy ◽

Spectroscopy Data ◽

The Moon ◽

Near Infrared Imaging

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

Applied and Environmental Soil Science ◽

10.1155/2011/641328 ◽

2011 ◽

Vol 2011 ◽

pp. 1-7 ◽

Cited By ~ 3

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.

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

Environmental and Engineering Geoscience ◽

10.2113/gseegeosci.6.3.187 ◽

2000 ◽

Vol 6 (3) ◽

pp. 187-200 ◽

Cited By ~ 3

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.

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Retrieval of Atmospheric Parameters and Surface Reflectance from Visible and Shortwave Infrared Imaging Spectroscopy Data

Surveys in Geophysics ◽

10.1007/s10712-018-9488-9 ◽

2018 ◽

Vol 40 (3) ◽

pp. 333-360 ◽

Cited By ~ 14

Author(s):

David R. Thompson ◽

Luis Guanter ◽

Alexander Berk ◽

Bo-Cai Gao ◽

Rudolf Richter ◽

...

Keyword(s):

Infrared Imaging ◽

Imaging Spectroscopy ◽

Surface Reflectance ◽

Spectroscopy Data ◽

Atmospheric Parameters ◽

Shortwave Infrared

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

International Astronomical Union Colloquium ◽

10.1017/s0252921100040434 ◽

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).

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Emissions of forest floor and mineral soil carbon, nitrogen and mercury pools and relationships with fire severity for the Pagami Creek Fire in the Boreal Forest of northern Minnesota

International Journal of Wildland Fire ◽

10.1071/wf16128 ◽

2017 ◽

Vol 26 (4) ◽

pp. 296 ◽

Cited By ~ 8

Author(s):

Randall K. Kolka ◽

Brian R. Sturtevant ◽

Jessica R. Miesel ◽

Aditya Singh ◽

Peter T. Wolter ◽

...

Keyword(s):

Forest Fires ◽

Forest Floor ◽

Infrared Imaging ◽

Fire Severity ◽

Mineral Soil ◽

N Deposition ◽

N2o Emissions ◽

Natural Ecosystems ◽

Imaging Spectrometer ◽

Soil Level

Forest fires cause large emissions of C (carbon), N (nitrogen) and Hg (mercury) to the atmosphere and thus have important implications for global warming (e.g. via CO2 and N2O emissions), anthropogenic fertilisation of natural ecosystems (e.g. via N deposition), and bioaccumulation of harmful metals in aquatic and terrestrial systems (e.g. via Hg deposition). Research indicates that fires are becoming more severe over much of North America, thus increasing element emissions during fire. However, there has been little research relating forest floor and mineral soil losses of C, N and Hg to on-the-ground indices of fire severity that enable scaling up those losses for larger-scale accounting of fire-level emissions. We investigated the relationships between forest floor and mineral soil elemental pools across a range of soil-level fire severities following the 2011 Pagami Creek wildfire in northern Minnesota, USA. We were able to statistically differentiate losses of forest floor C, N and Hg among a five-class soil-level fire severity classification system. Regression relationships using soil fire severity class were able to predict remaining forest floor C, N and Hg pools with 82–96% confidence. We correlated National Aeronautics and Space Administration Airborne Visible and Infrared Imaging Spectrometer-Classic imagery to ground-based plot-scale estimates of soil fire severity to upscale emissions of C, N and Hg to the fire level. We estimate that 468 000 Mg C, 11 000 Mg of N and over 122 g of Hg were emitted from the forest floor during the burning of the 28 310 ha upland area of the Pagami Creek fire.

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Shortwave Infrared Imaging Spectroscopy for Analysis of Ancient Paintings

Applied Spectroscopy ◽

10.1177/0003702816660724 ◽

2016 ◽

Vol 71 (5) ◽

pp. 977-987 ◽

Cited By ~ 14

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.

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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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