The geothermal heat discharge rate (HDR), the amount of heat emitted from a land surface, is often measured through an airborne survey or field measurement. However, it is difficult to conduct studies near active geothermal areas and volcanoes because they possess unstable areas and the costs associated with field surveys are often high. Satellite remote sensing techniques can estimate the HDR from Radiative Heat Flux (RHF) if the ratio of the HDR and RHF was revealed (RHF/HDR, hereinafter referred to as α). This study shows the variation in the α in three geothermal fields to improve an estimation method for HDR. For estimation of the land surface temperature (LST), the mono-window algorithm, improved mono-window algorithm, and split-window algorithm were used. The RHF was estimated from the LST using the Stefan-Boltzmann law. The HDR was observed through the ground survey. The α in nine areas (47% of total) was less than 5%. In eight areas (42% of total), the α ranged from 5 to 20%. The α could be classified by manifestation type. It was 4.6% (1.2–14.3%) in the manifestation with significant vapor content and 11.9% (0.4–23.3%) in the steaming area.
All Science Journal Classification (ASJC) codes
- Geochemistry and Petrology