Journal of Remote Sensing & GIS

Production and process of a three-dimensional model of subsurface land temperature by using numerical models and thermal remote sensing

3^rd World Congress on GIS and Remote Sensing

September 20-21, 2017 Charlotte, USA

Seyed Kazem AlaviPanah and Mohammad Karimi Firuzjaei

University of Tehran, Iran

Posters & Accepted Abstracts: J Remote Sensing & GIS

Abstract:

Research findings show that in the future 50 years, the amount of global demand for the energy will multiply. Consequently, using novel and superior technologies in order to identify, exploit and manage subsurface energy sources are critically necessitated. The awareness of the temperature distribution in various depths beneath the land surface can be effectively used in different fields such as investigation and evaluation of geothermal sources, hydrocarbon, water and etc. For this purpose, the precise study on the process and production methods of subsurface temperature three-dimensional models is essential. The numerical modeling method and the thermal remote sensing technology are suggested in order to achieve subsurface temperature three-dimensional model. The full recognition of physical and chemical properties of the land subsurface structure is a major precondition in numerical modeling of subsurface temperature. The thermal remote sensing method works base on continuous thermal sensing of the land surface by using satellite images produced in various time periods and aerial thermal red infrared in various heights. The basis of this method is on two major principles. First, the need for a source which is used for thermal radiation and secondly, the opaqueness of the land structure in the range of optical wavelengths. The continuous sensing and recording of land heat flow density can lead to the achievement of three-dimensional anomaly imagination of the land structure. For processing of temperature three-dimensional model, specific techniques shall be used. For this purpose, in order to achieve the geological structure spherical functions can be utilized. By determining the slope and the internal heat flow using differential conversions, geothermal surfaces can be identified. In addition, processing various filters such as filters which maximize the conflicting thermodynamic anomalies, can be utilized so as to identify moving regions and geophysical analysis. Further studies in this field of study can open new doors and create new horizons for the remote sensing method in the field of practical studies of the land subsurface.