Determination of Geothermal Anomalies Using Remote Sensing and Field Data in Paipa, Boyacá-Colombia
Rafael Andrés CALDERON, Germán VARGAS
This research aims to integrate and interpret thermal infrared remote sensing data with geological and geophysical information of Paipa geothermal zone. Thermal bands of Landsat 7 ETM+ and Landsat 8 TIRS are used to retrieve the land surface temperature (LST). A radiometer station is used to record field data, like subsurface temperatures measured at one-meter depth, surface temperatures, air temperatures, relativity humidity, and atmospheric pressure. Two thermal Landsat images of different dates are corrected by emissivity and atmospheric distortions, using a single channel and split window algorithm to generate LST maps. One hundred ninety-seven points were used to generate a subsurface temperature map, finding six anomaly areas with temperature ranging from 19.1ºC to 37ºC. To validate the results of remote sensing a spatial comparison between land surface temperature anomalies and soil temperature anomalies were conducted; the results show a good spatial correlation between most anomalies of surface and subsurface temperature. Land surface temperature results indicate that thermal anomaly areas are correlated with porous sedimentary rocks at surface and faulted structures. Also, a comparison between low-resistivity zones and land surface temperature anomalies have an acceptable spatial correlation. Some of the LST anomaly areas are validated by field geothermal manifestations and geophysical results (low-resistivity zones). In conclusion, thermal infrared remote sensing data is a valuable tool for geothermal exploration areas, combined with field data and geological-geophysical information facilitate the detection of geothermal resources.
|        Topic: Exploration||Paper Number: 11073|