Siri Jodha Singh Khalsa

About Siri Jodha Singh

Siri Jodha Singh Khalsa has published in the fields of satellite remote sensing, glaciology, global atmospheric teleconnections, air-sea interaction, boundary layer turbulence, and Earth science informatics. Since 1993, he has supported NASA’s Distributed Active Archive Center (DAAC) at the National Snow and Ice Data Center (NSIDC). At the NSIDC DAAC, he performs science evaluation and algorithm support for data products coming from NASA’s Earth observing satellites, as well as leading informatics and cryospheric research projects. He is a member of NASA’s Earth Science Data and Information Systems Standards Office, and chair of the Institute of Electrical and Electronics Engineers (IEEE) Geoscience and Remote Sensing Society (GRSS) Standards Committee. He sits on the Program Board of the Intergovernmental Group on Earth Observations (GEO), and the Steering Group of the World Meteorological Organization’s Polar Prediction Project.

Specialties

Multispectral and hyperspectral remote sensing, geographic information systems, machine learning and natural language processing, data modeling and metadata, data tool development

Current Research

Advanced Discovery, Processing, and Visualization Services for ICESat and ICESat‐2 Altimeter data: The OpenAltimetry project—a collaboration between NSIDC, UNAVCO, and the University of California San Diego—developed a web-based cyberinfrastructure platform that allows users to locate, visualize, and download ICESat and ICESat-2 surface elevation data, waveforms and photon clouds for any location on Earth, on demand. OpenAltimetry has achieved wide acceptance in the science community because of its emphasis on ease-of-use for new users, and rapid access for experts. It is currently being integrated into NASA’s cloud computing platform. Source of support: NASA

Harmonized Earth: This project is a collaborative research effort for creating algorithms, models, software systems, and cyber-infrastructure for harmonizing heterogeneous big data products (including satellite imagery and in situ observations) in a cloud environment for various downstream tasks. The focus is on classification and mapping of sea ice but the technologies developed can be extended to a variety of applications. Source of support: NSF

Education

Ph.D., University of Washington, Seattle, WA, 1978
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Contact

303-492-1445