Next Article in Journal
Removal of Covariant Errors from Altimetric Wave Height Data
Previous Article in Journal
sUAS-Based Remote Sensing of River Discharge Using Thermal Particle Image Velocimetry and Bathymetric Lidar
Previous Article in Special Issue
Mapping Recent Lava Flows at Mount Etna Using Multispectral Sentinel-2 Images and Machine Learning Techniques
Open AccessArticle

On the Applicability of Laboratory Thermal Infrared Emissivity Spectra for Deconvolving Satellite Data of Opaque Volcanic Ash Plumes

Department of Geology and Environmental Science, University of Pittsburgh, 4107 O’Hara Street, Pittsburgh, PA 15260, USA
*
Author to whom correspondence should be addressed.
Remote Sens. 2019, 11(19), 2318; https://doi.org/10.3390/rs11192318
Received: 30 August 2019 / Revised: 25 September 2019 / Accepted: 1 October 2019 / Published: 5 October 2019
The ASTER Volcanic Ash Library (AVAL) is presented, developed using quantitative laboratory thermal infrared (TIR) emission spectroscopic methods, spanning the 2000–400 cm−1 (5–25 μm wavelength) range, including the Earth’s TIR atmospheric window (8–12 μm). Each spectral suite is unique owing to the chemical composition and proportion of glass to crystals per sample and is divided into six size fractions. AVAL, used with an appropriate spectral mixture model applied to orbital multispectral TIR data, provides a unique ability to study active volcanic ash plumes. We present the first example of this application to an ash plume produced by the Sakurajima Volcano in Japan. The emissivity variations measured in ash plumes using an ever-expanding ash spectral library will provide future quantitative inputs for both atmospheric models, where the ash composition is unknown or estimated, as well as compositional probes into ongoing eruptions. View Full-Text
Keywords: volcano; ash; TIR; emissivity; spectroscopy; ASTER volcano; ash; TIR; emissivity; spectroscopy; ASTER
Show Figures

Figure 1

MDPI and ACS Style

Williams, D.B.; Ramsey, M.S. On the Applicability of Laboratory Thermal Infrared Emissivity Spectra for Deconvolving Satellite Data of Opaque Volcanic Ash Plumes. Remote Sens. 2019, 11, 2318.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop