Ground-Based Thermal Infrared Surveys as an Aid in Predicting Volcanic Eruptions in the Cascade Range

Science ◽  
1973 ◽  
Vol 182 (4109) ◽  
pp. 279-281 ◽  
Author(s):  
I. M. Lange ◽  
J. C. Avent
Keyword(s):  
Volcanic Eruptions ◽  
Thermal Infrared ◽  
Cascade Range ◽  
Infrared Surveys

Thermal InfraRed surveys from Antarctica for extragalactic astronomy

2008 ◽  
Vol 33 ◽  
pp. 293-295
Author(s):  
I. Vauglin ◽  
N. Gavrilović ◽  
P. Prugniel
Keyword(s):  
Thermal Infrared ◽  
Extragalactic Astronomy ◽  
Infrared Surveys

scholarly journals First Comparisons of Surface Temperature Estimations between ECOSTRESS, ASTER and Landsat 8 over Italian Volcanic and Geothermal Areas

2020 ◽  
Vol 12 (1) ◽  
pp. 184 ◽  
Author(s):  
Malvina Silvestri ◽  
Vito Romaniello ◽  
Simon Hook ◽  
Massimo Musacchio ◽  
Sergio Teggi ◽  
...  
Keyword(s):  
Surface Temperature ◽  
Heat Waves ◽  
Space Station ◽  
Volcanic Eruptions ◽  
Thermal Infrared ◽  
Radiative Transfer Model ◽  
Transfer Model ◽  
Atmospheric Effects ◽  
Landsat 8 ◽  
Surface Temperatures

The ECO System Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) is a new space mission developed by NASA-JPL which launched on July 2018. It includes a multispectral thermal infrared radiometer that measures the radiances in five spectral channels between 8 and 12 μm. The primary goal of the mission is to study how plants use water by measuring their temperature from the vantage point of the International Space Station. However, as ECOSTRESS retrieves the surface temperature, the data can be used to measure other heat-related phenomena, such as heat waves, volcanic eruptions, and fires. We have cross-compared the temperatures obtained by ECOSTRESS, the Advanced Spaceborne Thermal Emission and Reflectance radiometer (ASTER) and the Landsat 8 Thermal InfraRed Sensor (TIRS) in areas where thermal anomalies are present. The use of ECOSTRESS for temperature analysis as well as ASTER and Landsat 8 offers the possibility of expanding the availability of satellite thermal data with very high spatial and temporal resolutions. The Temperature and Emissivity Separation (TES) algorithm was used to retrieve surface temperatures from the ECOSTRESS and ASTER data, while the single-channel algorithm was used to retrieve surface temperatures from the Landsat 8 data. Atmospheric effects in the data were removed using the moderate resolution atmospheric transmission (MODTRAN) radiative transfer model driven with vertical atmospheric profiles collected by the University of Wyoming. The test sites used in this study are the active Italian volcanoes and the Parco delle Biancane geothermal area (Italy). In order to test and quantify the difference between the temperatures retrieved by the three spaceborne sensors, a set of coincident imagery was acquired and used for cross comparison. Preliminary statistical analyses show a very good agreement in terms of correlation and mean values among sensors over the test areas.

Shallow magma transport for the 2002–3 Mt. Etna eruption inferred from thermal infrared surveys

2008 ◽  
Vol 177 (2) ◽  
pp. 301-312 ◽  
Author(s):  
Letizia Spampinato ◽  
Sonia Calvari ◽  
Clive Oppenheimer ◽  
Luigi Lodato
Keyword(s):  
Thermal Infrared ◽  
Magma Transport ◽  
Mt Etna ◽  
Infrared Surveys

scholarly journals Volcanic SO<sub>2</sub> fluxes derived from satellite data: a survey using OMI, GOME-2, IASI and MODIS

2013 ◽  
Vol 13 (12) ◽  
pp. 5945-5968 ◽  
Author(s):  
N. Theys ◽  
R. Campion ◽  
L. Clarisse ◽  
H. Brenot ◽  
J. van Gent ◽  
...  
Keyword(s):  
Satellite Data ◽  
Volcanic Eruptions ◽  
Thermal Infrared ◽  
Primary Objective ◽  
High Spectral Resolution ◽  
Satellite Measurements ◽  
Explosive Volcanic Eruptions ◽  
Spectral Ranges ◽  
Remote Sensing Methods ◽  
Satellite Instruments

Abstract. Sulphur dioxide (SO2) fluxes of active degassing volcanoes are routinely measured with ground-based equipment to characterize and monitor volcanic activity. SO2 of unmonitored volcanoes or from explosive volcanic eruptions, can be measured with satellites. However, remote-sensing methods based on absorption spectroscopy generally provide integrated amounts of already dispersed plumes of SO2 and satellite derived flux estimates are rarely reported. Here we review a number of different techniques to derive volcanic SO2 fluxes using satellite measurements of plumes of SO2 and investigate the temporal evolution of the total emissions of SO2 for three very different volcanic events in 2011: Puyehue-Cordón Caulle (Chile), Nyamulagira (DR Congo) and Nabro (Eritrea). High spectral resolution satellite instruments operating both in the ultraviolet-visible (OMI/Aura and GOME-2/MetOp-A) and thermal infrared (IASI/MetOp-A) spectral ranges, and multispectral satellite instruments operating in the thermal infrared (MODIS/Terra-Aqua) are used. We show that satellite data can provide fluxes with a sampling of a day or less (few hours in the best case). Generally the flux results from the different methods are consistent, and we discuss the advantages and weaknesses of each technique. Although the primary objective of this study is the calculation of SO2 fluxes, it also enables us to assess the consistency of the SO2 products from the different sensors used.

THE INITIATION OF VOLCANIC ERUPTIONS IN THE CASCADE RANGE

2019 ◽  
Author(s):  
Adam J.R. Kent ◽  
◽  
Christy B. Till ◽  
Kari M. Cooper
Keyword(s):  
Volcanic Eruptions ◽  
Cascade Range

scholarly journals Retrieving Land Surface Temperature from Satellite Imagery with a Novel Combined Strategy

2020 ◽  
Vol 12 (2) ◽  
pp. 277
Author(s):  
María Sánchez-Aparicio ◽  
Paula Andrés-Anaya ◽  
Susana Del Pozo ◽  
Susana Lagüela
Keyword(s):  
Surface Temperature ◽  
Satellite Imagery ◽  
Land Surface Temperature ◽  
Land Surface ◽  
Single Channel ◽  
Volcanic Eruptions ◽  
Thermal Infrared ◽  
Artificial Satellites ◽  
Computation Method ◽  
Landsat 8

Land surface temperature (LST) is a key parameter for land cover analysis and for many fields of study, for example, in agriculture, due to its relationship with the state of the crop in the evaluation of natural phenomena such as volcanic eruptions and geothermal areas, in desertification studies, or in the estimation of several variables of environmental interest such as evapotranspiration. The computation of LST from satellite imagery is possible due to the advances in thermal infrared technology and its implementation in artificial satellites. For example, Landsat 8 incorporates Operational Land Imager(OLI) and Thermal InfraRed Sensor(TIRS)sensors the images from which, in combination with data from other satellite platforms (such as Terra and Aqua) provide all the information needed for the computation of LST. Different methodologies have been developed for the computation of LST from satellite images, such as single-channel and split-window methodologies. In this paper, two existing single-channel methodologies are evaluated through their application to images from Landsat 8, with the aim at determining the optimal atmospheric conditions for their application, instead of searching for the best methodology for all cases. This evaluation results in the development of a new adaptive strategy for the computation of LST consisting of a conditional process that uses the environmental conditions to determine the most suitable computation method.

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