Detection of geothermal anomalies in the Northern Lake Abaya geothermal field, Main Ethiopian Rift
نویسندگان
چکیده
The detection of geothermal anomalies using Thermal Infrared (TIR) remote sensing data is challenging because how sensor specifications (such as the infrared wavelength used for measurement, spectral dependence emissivity, angle at which measurement made, state surface and height above surface) physical parameters solar radiation, topography, albedo, soil compaction coherence rocks) affect Land Surface Temperature (LST) retrieval analysis. This work tests whether TIR measurements with thorough spatial temporal sampling can improve LST retrievals. Multi-temporal from 2000 through 2019 Landsat 7 8 instruments Advanced Spaceborne Emission Reflection Radiometer (ASTER) were to detect areas in geologically active region southern Main Ethiopian Rift. In addition, field-based temperature 19 sites evaluated comparison remotely detected anomaly areas. We have single-channel algorithm Normalized Difference Vegetation Index (NDVI) method emissivity derive each year. result shows that mean highest 2003 (320.1 K) lowest (303.1 K). change was between −9 K 13 K. These results ASTER images validated MODIS products showed a correlation coefficient >0.6. year has been much closer actual value field data. Fifteen (79%) fit identified values known activity show no (< 0.5) time attesting. That is, even though varies (e.g., day night seasonal changes), potential remain more or less constant on yearly basis.
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ژورنال
عنوان ژورنال: Journal of Volcanology and Geothermal Research
سال: 2022
ISSN: ['0377-0273', '1872-6097']
DOI: https://doi.org/10.1016/j.jvolgeores.2022.107638