Classification of Remote Sensing Depending on Data Type, Source, Platform, and Imaging Media

Currently, remote sensing techniques cover the entire electromagnetic spectrum starting from the low-frequency radio waves through the microwave, sub-mm, far infrared, near infrared, visible, ultraviolet, x-ray, and gamma-ray regions of the spectrum. Remote sensing data can be classified based on the most important or the majority of the information needed or used for the particular analysis. There are a variety of platforms that are used in remote sensing applications, depending on the sensors on each platform. The different types of platforms are: satellite imagery and aerial photography. Remote sensing data sensors are of two types Passive and Active. Appropriate remote sensing data are very important in augmenting geomorphological and structural geological studies. However, remote sensing can never replace field-based analyses like ground observations, sampling, and measurements.