Member Since 2004
Dalia Kirschbaum
Director of the Earth Sciences Division, NASA Goddard Space Flight Center
AGU Research
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Satellite based precipitation estimation in orographic regions within the southwestern United States
AGU 2024
hydrology | 11 december 2024
Jessica R. Sutton, Thomas Stanley, Elijah D. Orlan...
Predicting precipitation-induced landslides requires accurate estimation of orographic precipitation. Many research studies have been done to estimate...
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NASA's High Mountain Asia Team (HiMAT): Advancing Understanding of Historical and Future Changes in High Mountain Asia
AGU 2024
global environmental change | 10 december 2024
Summer Rupper, Lauren C. Andrews, Manuela Girotto,...
NASA's High Mountain Asia Team (HiMAT) is a collaborative group composed of 13 funded research teams. HiMAT's primary objectives are to assess and pro...
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Unravelling the role of global and downscaled rainfall forecasts in landslide hazard prediction over the Lower Mekong Region
AGU 2024
global environmental change | 10 december 2024
Nishan Kumar Biswas, Thomas Stanley, Dalia Kirschb...
The objective of this study is to build a robust, cloud computing and machine learning-based framework to provide landslide hazard forecasting over th...
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Landslide Hazard Is Projected to Increase Across High Mountain Asia
EARTH'S FUTURE
03 october 2024
Thomas Stanley, Rachel Soobitsky, Pukar M. Amatya,...
High Mountain Asia has long been known as a hotspot for landslide risk, and studies have suggested that landslide hazard is likely to increase in t...
Landslide mapping and forecasting system for the Karnali River Basin, Nepal
APPLICATIONS OF MACHINE LEARNING AND DEEP LEARNING TO ADDRESS ENVIRONMENTAL CHALLENGES AND SUSTAINABLE DEVELOPMENT GOALS I POSTER
global environmental change | 12 december 2023
Pukar M. Amatya, Thomas Stanley, Sudan B. Maharjan...
The mountains of Nepal are one of the most hazardous environments in the world with frequent landslides causing loss of lives and substantial damage t...
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Dynamic landslide hazard forecasting over the Lower Mekong Region using global forecasting precipitation products
THE LANDSLIDE LIFE CYCLE: FROM HAZARD ANALYSIS TO RISK ASSESSMENTS II POSTER
natural hazards | 11 december 2023
Nishan Kumar Biswas, Miguel Laverde, Thomas Stanle...
The objective of this study is building a robust, cloud computing and machine learning based framework to provide landslide hazard forecasting over Lo...
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NASA’s Landslide Viewer Web Application
THE LANDSLIDE LIFE CYCLE: FROM HAZARD ANALYSIS TO RISK ASSESSMENTS II POSTER
natural hazards | 11 december 2023
Rachel Soobitsky, Dalia Kirschbaum, Thomas Stanley
Globally, landslides cause billions of dollars in infrastructural damage and thousands of deaths every year. Despite their large impact, we do not hav...
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Investigating the potential of forecast products to inform extreme event analysis and multi-scale landslide hazard assessment
EXTREME WEATHER EVENTS: FORECAST SKILL, UNCERTAINTY QUANTIFICATION, AND IMPACT MODELING I ORAL
atmospheric sciences | 16 december 2022
Dalia Kirschbaum, Thomas Stanley, Sana Khan, Nisha...
Extreme rainfall events within landslide-prone areas can be catastrophic, resulting in loss of property, infrastructure, and life. Providing early awa...
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