JAKARTA - The National Research and Innovation Agency (BRIN) revealed the importance of using High Performance Computing (HPC) and Artificial Intelligence (AI) technologies in processing remote sensing data.
These two technologies are referred to as the main solution in answering the challenge of increasing the increasingly complex volume of satellite data. This was conveyed by the Head of the Geoinformatics Research Center of BRIN, Rokhis Komarudin.
Rokhis said that the development of micro and Nano satellite technology triggered a surge in satellite data. If BRIN does not have a strong processing tool, the high-resolution data they have will not be processed for public needs.
"With this development, data is very large. We need a much more powerful tool to process it. This is where the role of HPC and AI becomes very important," said Rokhis, quoted from BRIN's official website on Thursday, December 18.
BRIN has used HPC and AI in processing various types of data, ranging from multispectral to LiDAR technology. The results show that data processing efficiency has increased compared to using a regular computer.
For example, hyperspectral data processing, which usually takes 13 minutes, can now be completed in 1 second. This was achieved thanks to the support of HPC technology. Radar data processing (SAR) has also been successfully cut by 96 percent.
To integrate various sources of world satellite data, BRIN has developed a platform called GeoMIMO. This platform brings together inputs from various international satellites, drone data, to data from ground field stations.
In developing this platform, BRIN is working with a number of international space agencies. These institutions include the Japan Aerospace Exploration Agency (JAXA), NASA, and the European Space Agency (ESA).
JAXA provides ALOS data and NASA provides Landsat data, while BRIN is still discussing with ESA regarding the development of SCOPE Digital. In addition, BRIN collaborates with NOAA and has signed a contract with China's LASAT for the provision of two-meter resolution data covering the entire territory of Indonesia.
Through GeoMIMO, BRIN will focus on producing products for four main areas, namely food security, environment, greenhouse gas emissions, and defense. This AI technology plays an important role in running an automatic computing and classification model so that the data is ready to use.
The English, Chinese, Japanese, Arabic, and French versions are automatically generated by the AI. So there may still be inaccuracies in translating, please always see Indonesian as our main language. (system supported by DigitalSiber.id)
