The Physics Behind Remote Sensing

Remote sensing is the science of acquiring, processing, and interpreting images recording the interaction between electromagnetic energy and matter (Sabins, 1997). From monitoring forest fires to geological map creation, remote sensing is widely used in almost all scientific fields. Many aspects of remote sensing are complicated and difficult to understand, but the basic theory behind remote sensing is simple physics. Remote sensing has four main stages. The first step is the energy source, usually the sun. The energy source transmits energy to the target.

Remote sensing - taking land, sea, sky, and images of the earth from outer space - is a way for humans to understand the world beyond the senses. By enhancing the sensation using sensors, remote sensing replaces biology and physics helps to unlock information about people, places, and things. The product is clever. However, the goal is intervention. For decades, the information returned from the remote sensing platform was limited to monochrome or color text images. However, the invention of Synthetic Aperture Radar (SAR) in 1951 opened up a new era of sensor innovation. Using electro-optic cameras and SAR (capturing images at night and passing through clouds), modern remote sensing platforms use increasingly diverse phenomenology to see and recognize things we have never seen before The sensors to line up line up.

Remote sensing refers to remote observation and mapping of physical characteristics, urban characteristics, and environmental characteristics. Remote sensing is also a combination of many other topics, such as aerial photography, radar surveying, thermal exploration, weather forecasting, photogrammetry and so on. It is now common practice to create, monitor and develop a list of effective methods of managing natural resources using remote sensing data. The purpose of this paper is to deepen the understanding of remote sensing data so that human brain can analyze data processing technology such as modification, enhancement, classification, etc. to help extract and interpret data.