What is the imaging principle of remote sensing satellite?

Principle: due to the strong light reflected by various parts of ground objects? The degree of sensitivity of photosensitive materials is different, which leads to different degrees of sensitivity. The color of each part is different.

In the near infrared band, the reflectivity of clear water is much lower than that of soil and vegetation, so it is easy to distinguish the boundary between water and non-water on satellite images.

The maximum reflectivity of sediment-laden water bodies such as the Yellow River moves to visible light band, but it is still lower than that of soil and vegetation. In this way, the location and area of ice flood can be interpreted on satellite images, and then the inundation range and area can be estimated according to the number of pixels.

Extended data

Features:

Satellite remote sensing survey has the characteristics of high viewpoint, wide field of vision, fast data acquisition and repeated continuous observation. The obtained data is digitized and can directly enter the user's computer image processing system.

All remote sensing satellites need a remote sensing satellite ground station. Satellite data obtained from remote sensing market platform can monitor agriculture, forestry, ocean, land, environmental protection and meteorology. There are three kinds of remote sensing satellites: meteorological satellites, land satellites and ocean satellites.

Satellite remote sensing survey has incomparable advantages over traditional survey methods. Satellite remote sensing survey has broad application prospects in land resources, forest resources, geology and mineral resources, water resources survey and crop yield estimation.

Baidu Encyclopedia-Satellite Remote Sensing