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#Welcome
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# Remote Sensing

> 1. Remote sensing is a process of acquiring information about a distant object, usually of earth and other planets, which is done through satellites or aircraft.

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##How is AI used in it? 
A geographic Information System (GIS) is a computer system through which we procure detailed images of geographical places. 
This AI serves three purposes

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1. Utility mapping: Drawing data from various sources manually could be a huge problem as there is a lot of work to do. But when machine learning is involved our work gets simpler. For eg. To figure out the population of a certain place, it is better to use AI rather than manual work as it is time-saving. 

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2. Data improvement: Sometimes there are errors that are crept into the data and in order to rectify them is a mammoth task. Instead of that one can save them in datasets and keep improvising. 

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3. Image recognition: In GIS there is a cluster of images that must be clubbed together for finding the topography of that area. AI can do this process with ease as it can "geotag" the location and rectify the data to obtain the best results. 
As there is an improving technology AI is mostly used in remote sensing and makes the job more accurate and sensible. 
We can extract more information as GIS provides a 3d simulation and map of that area. 

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Apart from that the geotag that we use every day also uses AI. 
Labeled data is used to train AI models to learn algorithms and acquire useful info.

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