Abstract
Abstract. Earth and Mars travel in neighboring orbits around the sun. Both are rocky planets, but only the earth has the conditions to support life on. Is such a great difference due to their surface temperatures? It is obvious that the surface temperatures of these planets are governed by two factors of: (a) the amount of energy they receive from the sun and, (b) the composition of their atmospheres. If it is true, we must focus more on the Thermal Remote Sensing on Mars. Since heat is an important factor in any physical, chemical and biological study, it can be said that the heat in the form of love and psychological processes is effective for these studies. In study about life on another planet, not only the thermal characteristics are essential but love or passion in Scientists' efforts that are related to inner heat should also be considered. Therefore, in this paper we review the studies on Mars with the emphasis on the temperature. We consider science, art, literature, and technology as well as any things related to the heat including ice melting, volcanology, soil, morphology, and geothermal. As we believe that it must be bridged between mental and science gaps, shouldn't we make both the art and the science convergent? Therefore, we have used different scientific and art resources to make the role of heat in the Mars clear. We are seeking to answer the question whether the heat can be as a common factor in the researches.
Highlights
The heat as an important limiting factor is essential for life
If we think about life in Mars or other plants, the optimization in temperature must be taken into account
A question may arise that how important is the role of heat on the Mars surface? Why and where? we want to investigate the importance of thermal infrared RS data on the Mars surface
Summary
The heat as an important limiting factor is essential for life. If we think about life in Mars or other plants, the optimization in temperature must be taken into account. Molana Rumi expresses the importance of heat and considers it as a factor to percept the entity, receives data and without any need to light it is possible for seeing This may be found in what we say as “extracting information from non visible portion of thermal infrared spectrum”. Four predetermined assumptions are required in DLST These include (1) additively, which indicates that the mixture of components is linearly additive, nonlinearly additive, or a reconciliation between linearity and nonlinearity; (2) separability, which indicates whether component temperatures are statistically separable; (3) connectivity, which states the predictability of LSTs through ancillary data such as optical images; and (4) convertibility, which determines whether the spectral, temporal, and angular resolutions of thermal observations can be converted into the spatial resolution of LSTs
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