Remote Sensing and its future?
Remote Sensing

If you guys are reading this then you would have come across this term while reading about climate change or something to do with satellite image processing in various domains. Many of you would have given a pass to this term and wouldn’t have bothered to understand the broad meaning of it. But as remotely sensed images are becoming more common and are being used in many analytical data stack there is a need to understand this term.

According to NOAA : Remote sensing is the science of obtaining information about objects or areas from a distance, typically from aircraft or satellites.

Remote sensing in itself has been a hot topic for research for a long time and still is, it was present before the inception of Deep Learning. Then the Data was coarser in resolution (Spatial, Temporal & Radiometric) and was limited to only few use cases.

At present, remote sensing is being perceived in a very different way than what it use to be before. This change is due to availability of varied open source satellite data and high resolution satellite imagery surfacing in open datasets. Moreover new research integrating deep learning with these datasets have opened up a plethora of use cases in tech as well as in business world.

It is also considered to be the heart of satellite image data processing. Science of remote sensing is actually about how information is captured, stored and how we can generate insights from it.
['Rishabh Jain']
['Remote Sensing', 'Sar', 'Geospatial', 'Space Technology', 'Satellite Imagery']