研究目的
To develop a new spectral index called the thermal eruption index (TEI) based on the SWIR and TIR bands for differentiating thermal domains within the lava ?ow ?eld and to compare the results derived from satellite images with ?eld measurements.
研究成果
The study successfully applied the proposed techniques to Landsat 8 on SWIR and TIR datasets from 2014–2015 Holuhraun eruptions. The TEI method yields robust estimates of hotspot anomalies during eruption, and the results show good agreement with ?eld observations. The study provides new insights for monitoring future effusive eruption using infrared satellite images.
研究不足
The study has limitations in terms of the temporal resolution of Landsat 8, which is once every 16 days, making it of limited value for making time series studies of the eruption. The total radiant ?ux peak is underestimated (~8 GW) compared to other studies (~25 GW).
1:Experimental Design and Method Selection:
The study uses Landsat-8 infrared datasets and a dual-band technique to determine the subpixel temperature (Th) of the lava. A new spectral index called the thermal eruption index (TEI) was developed based on the SWIR and TIR bands.
2:Sample Selection and Data Sources:
Landsat-8 Level 1 product band 6 (
3:56–66 μm) and band 10 (60–19 μm) were used. The eruption was well monitored from Landsat 8, and the data can be downloaded from the U.S Geological Survey (USGS) website. List of Experimental Equipment and Materials:
Landsat-8 satellite data, thermal camera (FLIR) measurement, and theodolite lava height measurement were used.
4:Experimental Procedures and Operational Workflow:
The data were subset into 562 by 333 and then converted the satellite-recorded digital numbers (DN) to sensor radiance for both SWIR and TIR bands. The MODTRAN model atmosphere is used for atmospheric correction.
5:Data Analysis Methods:
The dual-band method was used to derive subpixel temperature within the region de?ned by the hotspot threshold (TEI > 0.10). The radiant ?ux (Φ rad) and the crust thickness (?h) were derived considering the effect of lava surface roughness using the Hurst coef?cient (H).
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