ダイナミックリモートセンシングによる表面下温度パターンの推定

抄録

The methods of Remote Sensing (R/S) can be classified into three kinds, 1) the measurement of the reflection of the sun beam (Passive R/S), 2) the measurement using millimeter wave or laser rader (Active R/S), and 3) the measurement of the infrared radiation. By these methods, one can obtain information on the measured object concerning its surface temperature, 2) its effective emissivity, and 3) its effective reflectivity.
The surface temperature, in, effect, contains the total information of the under-surface structure. The authors performed a fundamental experiment for extracting such an under-surface information by R/S, which they name “Dynamic Remote Sensing.”
In the first place, we decided the spatial transfer function of the medium (sand in our experiment), and then, filtering the surface temperature pattern, calculated the under-surface temperature pattern, from which we estimated the form of the sample in the medium
In the second place, we analysed the relation between the thermal input (the temperature in the bottom) and thermal output (the surface temperature) in the analogy of electric circuits, calculated the heat capacity and the thermal conductivity of the sample, and estimated its substance.
As a result, the present study will guide us to a new method for the exploration of groundwater or minerals and undestractive tests.