Rao, Bhujanga V, ed.
(2020)
Space Newsletter: Science, Technology, applications 2(1).
Other.
NIAS.
![[img]](http://eprints.nias.res.in/style/images/fileicons/text.png) |
Text
2020-Space-Newsletter-v2-i1.pdf
- Published Version
Download (1MB)
|
| Abstract: |
With each passing day, Space Data is phenomenally
increasing leaps and bounds. The reasons are obvious.
Today the satellite services are ever expanding without
stop. Satellites are getting sophisticated with volley of
sensors, cameras, scanners etc providing new data.
With more nations deploying satellites , the satellites
services are becoming affordable for many nations.
Science and engineering focussed Space exploration,
journey to Mars and beyond have their own implications
in adding more to the space data. “Big Data analytics via
satellite will generate close to $17.7 billion in cumulative
revenues by 2028, owing to increasing demand from
end users in the Transportation, Government & Military,
Energy and Enterprise sectors.” (Ref:NSR’s Big Data
Analytics via Satellite, 3rd Edition (BDvS3) report, June
2019). According to this report ,space imagery data
is predicted to grow at an impressive 23.5 percent
Compound Annual Growth Rate (CAGR) through to
2027. What a great opportunity today to our scientists,
engineers, entrepreneurs ! Sametime, we do not know
how many people fully understand the large scale use and implications of this big data. Recent advances in
robotics, ML, and Artificial Intelligence (AI) are readily
available today to unravel the hidden secrets of
volumes of the petabytes of space data and to provide
value added big space data capabilities bringing out
altogether new perspectives. Satellite Operations are
being revolutionised using ML applicable to any orbit
(GEO, MEO and LEO). Today we have space application
related computational processors, and dedicated AI
chips. Through machine learning embedded flight
software, we can objectively automate satellite and implications of this big data. Recent advances in
robotics, ML, and Artificial Intelligence (AI) are readily
available today to unravel the hidden secrets of
volumes of the petabytes of space data and to provide
value added big space data capabilities bringing out
altogether new perspectives. Satellite Operations are
being revolutionised using ML applicable to any orbit
(GEO, MEO and LEO). Today we have space application
related computational processors, and dedicated AI
chips. Through machine learning embedded flight
software, we can objectively automate satellite while protecting fragile natural resources on earth. |
| Item Type: |
Monograph
(Other)
|
| Subjects: |
NIAS Resources > Space Newsletter |
| Date Deposited: |
28 Oct 2022 06:29 |
| Last Modified: |
28 Oct 2022 06:29 |
| Official URL: |
|
| Related URLs: |
|
| Funders: |
* |
| Projects: |
* |
| DOI: |
|
| URI: |
http://eprints.nias.res.in/id/eprint/2412 |
Actions (login required)
 |
View Item |
