Land skin temperature's mathematical analysis of Ajmer city in remote sensing way.

Advancements in the field of physics gave birth to remote sensing for analyzing climate problems effectively and smoothly in form of providing vulnerable and significant data. Mathematics and statistics play a pivot role in the succeeding domains to cater to data analysis in a structured and lucid manner. This paper incubates a climate-related study with the help of enrichments in mathematics and physics. The paper states clearly all about the temperature profile of an Indian city, Ajmer. The incorporation of data from 2011 to 2020 depicts a good picture of land skin temperature as a result. Duo-Satellite imageries of ten years had been examined carefully and software-derived data was acted upon by mathematical analysis to find a pattern meticulously. Significant findings were that the summer season was found out the hottest among all the seasons during both day and night time. The winter season had the least anomalies and the monsoon had the most. The paper and its findings were showed alarming information about the gradual rise in temperature which will create a difficult situation in near future for human beings. [ABSTRACT FROM AUTHOR]