Study of Multi-sensing Observation Lidar and Imager Demonstration Project

JAXA Supercomputer System Annual Report February 2024-January 2025

Report Number: R24EDG20200

Subject Category: Research and Development

Responsible Representative: Taishi Sumita, Project manager, Research and Development Directorate
Contact Information: Rei Mitsuhashi(mitsuhashi.rei@jaxa.jp)
Members: Rei Mitsuhashi, Osamu Ochiai, Yoshito Sawada

Abstract

We conducted a system construction study on algorithm development for Multi-Footprint Observation Lidar and Imager Demonstration and on the development of ground system for product generation.

Reference URL

Please refer to 'Multi-sensing Observation Lidar and Imager Demonstration (MOLI) Project｜JAXA｜Research and Development Directorate'.

Reasons and benefits of using JAXA Supercomputer System

The MOLI mission is considering using JSS as part of the ground processing system for product generation. JSS is best suited for operations that process large amounts of data in a short period of time, rather than real-time processing.

Achievements of the Year

In the development of a global algorithm for the MOLI mission, a large amount of simulation data was generated and used as training data for deep learning to gain generality for the algorithm under development. We were also able to confirm, using dummy data, that JSS performs well as part of the ground system used to process MOLI products.

Publications

- Peer-reviewed papers

Mitsuhashi, R., et al,. (2024). Re-Estimating GEDI Ground Elevation Using Deep Learning: Impacts on Canopy Height and Aboveground Biomass. Remote Sensing, 16(23), 4597. https://doi.org/10.3390/rs16234597

Usage of JSS

Computational Information

Process Parallelization Methods: N/A
Thread Parallelization Methods: N/A
Number of Processes: 1
Elapsed Time per Case: 3 Hour(s)

JSS3 Resources Used

Fraction of Usage in Total Resources*1(%): 0.43

Details

Please refer to System Configuration of JSS3 for the system configuration and major specifications of JSS3.

Computational Resources
System Name	CPU Resources Used (Core x Hours)	Fraction of Usage*2(%)
TOKI-SORA	0.00	0.00
TOKI-ST	3582581.33	3.68
TOKI-GP	7953.19	0.12
TOKI-XM	0.00	0.00
TOKI-LM	20911.05	1.51
TOKI-TST	379.46	0.01
TOKI-TGP	44.39	0.31
TOKI-TLM	191.96	0.51

File System Resources
File System Name	Storage Assigned (GiB)	Fraction of Usage*2(%)
/home	95.00	0.06
/data and /data2	164240.00	0.79
/ssd	0.00	0.00

Archiver Resources
Archiver Name	Storage Used (TiB)	Fraction of Usage*2(%)
J-SPACE	453.18	1.48

*1: Fraction of Usage in Total Resources: Weighted average of three resource types (Computing, File System, and Archiver).

*2: Fraction of Usage：Percentage of usage relative to each resource used in one year.

ISV Software Licenses Used

ISV Software Licenses Resources
	ISV Software Licenses Used (Hours)	Fraction of Usage*2(%)
ISV Software Licenses (Total)	0.00	0.00

*2: Fraction of Usage：Percentage of usage relative to each resource used in one year.