NASA awarded its Software of the Year to the team behind LHASA 2.0, a tool providing global insights into rainfall-triggered landslides. Available as open-source, LHASA assists a wide range of stakeholders in disaster readiness and response. NASA has awarded the prestigious NASA Software of the Y
A landslide occurred in Wrangell-St. Elias National Park in the Wrangell Mountains of southeastern Alaska occurred on August 13, 2013. Debris had tumbled down the valley wall, blanketed the end of the glacier, deflected off the far wall of the valley, and tumbled down the valley toward Nabesna Glacier to the southeast. A stream of glacial melt water was pooling. Credit: Jesse Allen and Robert Simmon, NASA’s Earth Observatory using Landsat 8 data provided by the the U.S.
NASA has awarded the prestigious NASA Software of the Year Award to a team of scientists and engineers at the Earth Sciences Division of NASA’s Goddard Space Flight Center in Greenbelt, Maryland. The team received the SOY award for developing a data-driven software tool called the Landslide Hazard Assessment for Situational Awareness version 2.0. which is designed to provide situational awareness for rainfall-triggered landslide hazard events at any location around the world.
This is only the second time in the past 17 years that a team from Goddard has won the SOY Award. Members of the LHASA development team include Dalia Kirschbaum, Thomas Stanley, Robert Emberson, Pukar Amatya, Garrett Benz, Marin Clark, and William Medwedeff.“Our team is thrilled,” said Kirschbaum, director of the Earth Sciences Division. “It is a testament to all of the hard work by a lot of people to pull this together.
LHASA is a system that incorporates landslide data inventories from around the world within a machine-learning framework to estimate the relative probability of a landslide occurrence. LHASA considers landslide hazards over space and time on a roughly one-kilometer grid size worldwide, from 60 degrees North to 60 degrees South latitude.
“I think LHASA represents an important step toward helping communities understand where and when landslide hazards happen all over the world,” said Kirschbaum. “I hope that people take this model and use it regionally to get a better understanding of what is triggering landslide hazards in their area.”
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