Let’s explain the word ‘remote’ which suggests ‘not in physical contact’ or ‘contact’ and ‘sensing’ is getting the data or information about anything, for example, pressure, temperature.

Remote sensing is nothing but the strategy of acquiring information, detecting, analyzing, monitoring the physical characteristics of a section by recording it without having any physical contact with the subject matter. It is used to assist risk reduction initiatives through the identification of hazard zones related to flood plains, coastal inundation and erosion, and earthquake. Locations and magnitude can also be measured through remote sensing for verification of hazard models.

Meteorologists widely use imagery which provides prediction still as warnings of data that will help in higher knowledge around short term readiness. In print, television, and online, these images are commonly presented which they’re well accepted by viewers around the world. Imagery of fires, volcanic eruptions, and flooding are often used during the response phase for the visual impact that they supply. Remote sensing is also applied in disaster reduction initiatives through identification and understanding of hazards. Remote sensing is employed in some major fields like Weather, Forestry, Agriculture, Surface Changes, Biodiversity.

Rural road conditions are now possible to be analyzed using various GIS techniques and Remote Sensing techniques with accuracy. For controlling forest fires, information acquired by satellites using Remote Sensing enables firefighters to be dispatched on time and overcorrect locations therefore the damage from such fires is often decreased to minimal. Many insurance companies use Landsat’s red and infrared channels to figure out vegetation growth, particularly land. This information is going to be accustomed to verify seeded crops and fight against crop insurance fraud. Active and passive sensors of a satellite in space are utilized so as to work out soil moisture content. Many earth sciences like the water cycle, flood, and drought are supported by the content of soil moisture.

Let’s understand it through a table:

Remote sensing will become increasingly critical for risk assessment and management. Remote sensing imagery of multi-spectral bands, multi-spatial resolutions, and multi-temporal cycles will provide accurate and timely fundamental data sources for measuring ever-changing environmental variables. Together, GIS and remote sensing will help scientists and decision-makers to optimize resource allocation, enable global data and data sharing, and promote effective and cost-efficient environmental risk assessment and management practices.

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