Jumpei Takami — SPARQNOW

At-a-Glance

Holds a Master of Science in Civil Engineering from the University of Washington.
Possesses over seven years of experience in remote sensing.
Worked as a satellite data analyst for space industries.
Specializes in applying remote sensing and GIS with machine learning for disaster risk reduction and climate change.
Interned with JICA, using Interferometric Synthetic Aperture Radar (SAR) to estimate land subsidence volume in Jakarta, Indonesia.
Developed AI/ML techniques including super-resolution with SVA, improved landslide detection with HBGC, and canopy height estimation using CNN models.

Biography

Jumpei Takami is proficient in remote sensing and Geographic Information Systems (GIS), utilizing machine learning approaches for analysis. He possesses over seven years of experience in remote sensing, applying these technologies to disaster risk reduction and management associated with climate change. His work encompasses various applications, including landslides, flooding, drought, land subsidence, and forest inventory for canopy height and above-ground biomass.