Data acquisition is accomplished through satellite remote sensing through temporal, spectral and spatial resolutions. Spatial resolution gives a specific pixel size for satellite images of the earth's surface. This data can be used in a variety of contexts. Temporal resolution gives the revisiting frequency of the satellite sensor for a given location on earth. Finally, spectral resolution gives the number of spectral bands a satellite sensor picks up that gather reflected radiance. Spectral resolution also covers the position of bands in the electromagnetic spectrum.
Each of these aspects of data acquisition accounts for the powerful acquiring abilities of satellite remote sensing. This technology has numerous applications in everyday life. Obtaining accurate and reliable information about the relationships between physical objects on earth is key to many scientific disciplines and industries, from construction to cartography.
A Practical Example of Remote Sensing Technology
Satellite remote sensors can be used to determine the scope of a phenomenon or to find out more about an object that cannot be deconstructed. This is accomplished by making inferences based on the EMR that is reflected and recorded by satellite remote sensing equipment. The human eye is the most common example of remote sensing technology in everyday life. The human visual system works through passive remote sensing. The eyes passively sense radiation that is reflected off a given object and the brain processes the information. The cones and rods in the eyes are photosensitive cells that function as remote sensors. The further away an object is from the eyes observing it, the further the radiation must travel. The signals the radiation sends from the retina travel to the visual system for processing according to its physical relationship to the observer.