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Remote sensing UPSC NOTE

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  Remote sensing Remote sensing uses deep learning technology among other methods to understand various aspects of a region including its to...

 Remote sensing

  • Remote sensing uses deep learning technology among other methods to understand various aspects of a region including its topological, hydrological, vegetation and other geographic factors

  • Satellites built specifically for remote sensing observe and gather data of a region by way of photographs

  • These images capture different features of the area like water, soil, vegetation, rocks, etc in detail. 

  • These images are then stitched together to create a map of sorts. 

  • Then, deep learning is employed to build predictive models to determine which regions are vulnerable to a certain ecological disaster. 

  • However, much like other predictive models built by AI like AlphaFold which makes 3D models of protein structures, the outcomes aren’t assured

  • The launch of India's first civilian IRS-1A spacecraft in March 1988 marked the start of a successful journey for the Indian Space Programme.

Why remote sensing alone is not enough to predict floods?

  • Remote sensing provides only a snapshot of environmental conditions over time.

  • It does not offer real-time predictions or immediate updates on shifting slopes.

  • Remote sensing cannot capture the continuous changes in slopes or sudden events like cloud bursts effectively

  • Accurate predictions require ground radar surveys that involve physical monitoring of slopes.

  • On-ground radar monitoring is expensive and often only used around mining facilities or roads, not always available for all vulnerable areas.


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Learnerz IAS | Concept oriented UPSC Classes in Malayalam: Remote sensing UPSC NOTE
Remote sensing UPSC NOTE
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