Space Newsletter: Science, Technology, applications 2(1)

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