The light we see with our eyes can be thought of as having the properties of a wave and can be described by two related properties, the wavelength and the frequency. The wavelength is the distance between two wave peaks and the frequency is the number of waves that pass a point in one second. The colors of the rainbow each have a unique frequency and are just a small part of the electromagnetic spectrum.

Everything is a source of electromagnetic radiation. The amount of radiation at each wavelength is primarily determined by the temperature of the object. The higher the temperature, the more radiation is emitted at any given wavelength. If an object is hot enough, it will emit visible light and you will be able to see it (e.g., the sun or a lightbulb). Cooler objects, such as a human or the earth, emit the most energy in the infrared part of the spectrum and emit very little visible light. Radiation based on the temperature of an object is called "blackbody radiation." There are other mechanisms for generating radiation, such as lasers, radio antennae, etc. These typically generate a single wavelength instead of a broad spectrum.
As the electromagnetic waves travel through space, their energy interacts with matter. In a simplified view, one of the following interactions occur:
Spectral reflectance is the portion of incident radiation that is reflected, as a function of wavelength, by a nontransparent surface. The fraction of energy reflected at a particular wavelength varies for different features. Additionally, the reflectance of features varies at different wavelengths. Thus, two features that are indistinguishable in one spectral range may be very different in another portion of the spectrum. This is an essential property of matter that allows for different features to be identified and separated by their spectral signatures.
A spectral signature is a unique reflectance value in a specific part of the spectrum. Displayed in the graph below are the spectral signatures for healthy green vegetation, stressed vegetation, and severely stressed vegetation. In the visible region on the electromagnetic spectrum, the three spectral signatures look similar. However, in the near-infrared region of the spectrum, the spectral signatures look very different from each other. The healthy vegetation has the highest reflectance value while the severely stressed vegetation has the lowest reflectance value.

The above simplified view of radiation interaction with matter neglects a number of other interactions that can be important for remote sensing. These include

Density-fluctuation scattering occurs in liquids. Continual random motions of molecules cause localized microscopic density fluctuations. The fluctuations lead to scattering similar to the Rayleigh scattering of gases in the atmosphere, a process that scatters short wavelength light more than long wavelength light. This is part of the reason that both the open ocean and the sky look blue.
As a further example, the temperature dependence of the emission can be used for night vision instruments. The peak emission wavelength for a human is in the infrared at 9.4 micrometers, while an object at 15.5° Celsius (60° F) would have a peak at 10.1 micrometers. Using a detector sensitive to 9.4 micrometer radiation, a human or animal can easily be seen within a cooler nighttime environment.
Most remotely sensed images are not captured with film in a camera (aerial photographs are the exception to this rule). Rather, images are captured with a digital sensor mounted to an aircraft or satellite. The sensor records energy reflected from the earth. This information is then transferred to users, where it can be processed with a variety of computer software applications.
Remote sensing software applications have been developed for users to see a pictorial representation of the image. Images displayed on a computer screen are composed of pixels (picture elements), the smallest unit of a digital image, that contain both spatial and spectral properties.
A pixel's spatial properties provide information about the resolution or area represented on the earth while its spectral properties provide information about the intensity of the spectral response collected from the sensor.
Spatial resolution describes the area of the earth that each pixel represents. For example, an image might have a spatial resolution of 3 meters. This means that each pixel in the image represents an area on the earth 3 meters by 3 meters. Such an image would be considered high-resolution imagery. High-resolution imagery allows details, like houses and cars, to be seen sharply and clearly. This type of imagery is often used for community and urban planning and for agricultural purposes. Generally, the higher the spatial resolution of the imagery, the smaller the region of earth covered in each image. In order to see a large area, such as a county or a state, numerous high-resolution images would be requiredan expensive and time-consuming effort. If an organization is working on a regional scale, lower-resolution imagery, which covers a greater area of land, might be a better choice.
Imagery of lower resolution can be used when studying or planning larger
regions on the earth, such as a county, state, or even a country. Do not be
fooled by the term "lower," it does not mean the imagery is of lesser
quality. Rather, the term "lower resolution" means the spatial extent covered by each
pixel in the image is large. Thus, this type of imagery
can be used for identifying large features such as lakes, forests, and
urban areas that cover a substantial amount of the earth's surface.
Qualitative terms such as "high" and "low" resolution are often relative to the problem.
A resolution of 30 meters might be low resolution for a city planner, but very high
resolution for an oceanographer.
Temporal resolution refers to how often an area can be imaged.
In general, there is a trade-off between spatial resolution and temporal resolution.
A sensor such as Landsat Thematic Mapper will provide 30 meter pixels, but can only
image a given area once every 16 days.
On the other hand, the Advanced Very High-Resolution Radiometer can image the entire
earth every day, but has 1.1 kilometer pixels.
Even higher temporal resolution is obtained by geostationary satellites such as the GOES
weather satellites. The GOES satellites provide the same view of the earth every 30
minutes at 1 kilometer spatial resolution.
As with spatial resolution, the required temporal resolution is dependent upon the
application.