The past few years have witnessed a remarkable development in technologies based on processing geographic data, converting them into important information and reviewing them, so it became possible to make changes to maps in terms of projections within seconds, and computers are usually used to start the process of processing maps and conducting the necessary analysis, drawing and displaying, and computers have achieved success. Brilliant as a revolution under the umbrella of cartography; Scientists have been able to develop unprecedented technologies to attract information and data by satellites. The amount of data available has become very huge, including remote sensing technology as well as geographic information systems.
Remote sensing technologies
Remote sensing techniques, in cooperation with geographic information systems, play a very important role in providing studies and research with the necessary data accurately, efficiently and quickly, as these fields join hands together to provide protection for the environment in general. As there is an opportunity to attract information from various features on Earth and its components by analyzing satellite images, and there are many ways in which remote sensing contributes to enhancing the preservation of the environment and providing important information about it.
What does the black color in the remote sensing data indicate?
Black color in remote sensing data
The black color in the remote sensing data indicates the deep, clear waters, and it should be noted that the colors shown by the satellites do not reflect the original color of the phenomena, but rather are often subject to technical influences when producing satellite images. Therefore, the degree of resolution and color appears relatively different, and one of the most prominent examples is the American Landsat satellite, which reflects different colors as a result of the merging of white and black images by relying on specialized tools, as the light wave is subject to a filter that specializes in mixing the images together depending on color projections.
Types of remote sensing
Remote sensing types are divided into several types according to the following classifications:
According to the wavelength of the electromagnetic radiation:
Invisible rays (the most common example is infrared).
Visible rays.
According to the power source, all of the following are listed under this type:
Ineffective sensors, this type relies on sensing the reflected energy inspired by the studied phenomena, examples of which are the sensors carried by the Spot satellite.
Effective sensors, this type emit radiation in order to illuminate a number of studied phenomena, including radar systems.
Other color semantics in remote sensing data
After recognizing that the black color in the remote sensing data indicates clear deep water, it is necessary to consider the other color semantics as well, which are as follows:
Rocks and soil are relatively brown and yellow to blue.
Deep waters laden with sediments and suspended matter, appear bright blue.
Green plants, as mentioned earlier, vary in color from various shades of red.
Cities and cultural phenomena, with remote sensing data varying in color between blue and gray.
