High-resolution Arctic Built Infrastructure and Terrain Analysis Tool (HABITAT)
presented by: Dr. Chandi Witharana (UCONN)
Tuesday, April 22, 2025 · 4 - 5 PM
Tuesday, April 22, 2025 at 4p (est) | Virtual via Webex
Guest Speaker
Dr. Chandi Witharana, Assistant Professor at University of Connecticut in the Department of Natural Resources & the Environment
Talk Title
High-resolution Arctic Built Infrastructure and Terrain Analysis Tool (HABITAT)
Talk Abstract
There is an urgent need for advanced monitoring tools to accurately map
Arctic permafrost landforms and thaw-related disturbances, track their
evolution over time, and assess their economic impacts on human-built
infrastructure. Over the past two decades, the entire Arctic has been
repeatedly imaged by sub-meter resolution Maxar satellite sensors,
resulting in data repositories containing millions of images and growing
into the petabyte scale. Despite this wealth of data, geospatial
products derived from imagery at a pan-Arctic scale remain rare. The
challenge of scaling automated analysis across millions of square
kilometers of heterogeneous Arctic landscapes underscores the demand for
high-throughput data science pipelines. To address this gap, we
developed the High-resolution Arctic Built Infrastructure and Terrain
Analysis Tool (HABITAT) – a novel image analysis pipeline that brings
operational-scale GeoAI capabilities into Arctic science applications.
We demonstrate HABITAT’s utility through multiple Maxar-based mapping
efforts, such as ice-wedge polygons (IWPs), ice-wedge polygon capillary
networks, retrogressive thaw slumps, and human-built infrastructure
features. HABITAT is designed to run efficiently on heterogeneous
high-performance computing systems. One of HABITAT’s key outcomes is the
creation of the first pan-Arctic ice-wedge polygon dataset, comprising
over one billion individual IWPs across the tundra domain.
Speaker Bio
Dr. Chandi Witharana is an Assistant Professor in the Department of
Natural Resources and the Environment at UConn’s College of Agriculture,
Health and Natural Resources (CAHNR). He is the Director of UConn’s
Remote Sensing and Geospatial Data Analytics Online Graduate
Certificate. Dr. Witharana is also an affiliated faculty of Eversource
Energy Center and the Institute for the Brain and Cognitive Sciences at
UConn. He is a member of American Society for Photogrammetry and Remote
Sensing and the American Geophysical Union. Dr. Witharana is the
Director of ConnecticutView at UConn. He earned a PhD in Remote Sensing
and an MS in GIScience at the University of Connecticut, and a BSc in
Geology at the University of Peradeniya, Sri Lanka. Prior to joining the
UConn faculty, he was a Post-doctoral Research Associate at the SUNY
Stony Brook. Dr. Witharana was a Geospatial Analyst at the United
Nations Office for the Coordination of Humanitarian Affairs. He conducts
interdisciplinary remote sensing research speaking to the
transformational uses of earth observation technology in environmental,
industrial, and humanitarian applications.