Remote sensing

Remote Sensing is defined as a technique for identifying, classifying and determining objects, as obtaining information on their physical properties through analysis of the data on the objects collected by use of remotely-located sensors that do not contact physically with objects. Usually, the data analyzed are those on the electromagnetic waves emitted from or reflected by the objects. Remote sensing, in a narrow sense, may be defined as a method for retrieving the physical properties of objects such as the ground surface and atmosphere, and phenomena observed around the earth by remotely measuring their electromagnetic emission and scattering characteristics. Remote sensing technology is roughly categorized into sensing (hardware) and data processing (software) technologies. Sensing technologies include sensor technology for obtaining information on the object, technology for platforms (artificial satellites, aircraft and so on) that carry the sensors, and technology for data recording and transmitting. Remote sensors are devices that collect electromagnetic radiation and scattering data. Remote sensors that use radio waves include radar and radiometers in radio waves, and those using light include cameras, radiometers and laser radar, which is also known as Lidar. Vehicles or structures on which remote sensors are installed Are called platforms, Which include artificial satellites, aircraft and towers on the ground. Data processing technologies include those for retrieving precisely physical properties of the objects acquired by the sensors, those for data display (image processing) and those for building databases.

Since 1996, the GSINET has started studies on satellite image data processing about Geology, Mineral exploration and Tectonic.