Open AccessIdentifying Upflow Zone Based on Thermal Infrared (TIR) Sensor and Field Measurements at Volcanic Field
Author(s) -
Zaki Hilman,
Asep Saepuloh,
Citra Aulian Chalik,
Mohamad Nur Heriawan
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/417/1/012011
Subject(s) - advanced spaceborne thermal emission and reflection radiometer , volcano , remote sensing , geothermal gradient , radiometer , thermal infrared , geology , impact crater , environmental science , vnir , fumarole , infrared , geophysics , digital elevation model , seismology , physics , optics , astronomy , hyperspectral imaging
Upflow zone identification at volcanic fields is crucial for geothermal resource exploration. The common problem to identify the upflow zone using conventional mapping method is time-consuming and the limitation of access to the area. The application of satellite imaging as ground-truthing is aimed to increase the effectiveness of upflow zone detection at geothermal fields. This study selected the volcanic field around the Bandung Basin for a model case. The data used in this study were thermal images of the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) Thermal Infrared Radiometer (TIR) by the night observations. The TIR data were corrected and calibrated by Visible Near Infrared Radiometer (VNIR) to measure Land Surface Temperature (LST). We then focused our analysis around a volcanic area that showed high LST at the Papandayan crater and other manifestations. Validations were carried out by measuring surface temperature and gas concentrations including SO 2 and CO 2 . The reading value of the gases was different on each location, but the pattern of the gases was relatively similar especially the SO 2 gas pattern. The SO 2 gas showed a relatively constant trend of gas concentration over time in the upflow zone, but in the outflow zone showed an increase pattern with the time whose reading values were lower than those on the upflow. On the contrary, the non-geothermal features showed that the SO 2 concentration decreased with the time towards almost 0. According to the retrieved LST, the surface manifestations were located not only at the high anomaly but also at medium anomaly depending on the manifestation dimension. The gas and temperature measurements proved that LST could be used to enhance the effectiveness of upflow zone identification.