Geomorphologist with an affinity for remote sensing, statistical modeling, and AI. My work focuses on landslide hazard modeling and hillslope response to wildfire.
Eli Orland
(ASSOCIATE SCIENTIST)
| Email: | elijah.orland@nasa.gov |
| Org Code: | 617 |
| Address: |
NASA/GSFC Mail Code 617 Greenbelt, MD 20771 |
| Employer: | UNIVERSITY OF MARYLAND BALTIMORE CO |
Brief Bio
Education
Bachelors of Arts - Geology (Minor in Spanish), Middlebury College, Middlebury Vermont
Masters of Science - Earth Sciences, University of Oregon, Eugene, OR
Special Experience
Remote Sensing, Machine Learning, Deep Learning, Programming, Science Communication, Public Policy
Publications
Refereed
2024. "Evaluating Precipitation Events Using GPM IMERG 30-Minute Near-Real-Time Precipitation Estimates." Journal of Hydrometeorology 25 (7): 991-1006 [10.1175/jhm-d-23-0141.1] [Journal Article/Letter]
2024. "Droughts impede water balance recovery from fires in the Western United States." Nature Ecology & Evolution [10.1038/s41559-023-02266-8] [Journal Article/Letter]
2022. "A Scalable Framework for Post Fire Debris Flow Hazard Assessment Using Satellite Precipitation Data." Geophysical Research Letters 49 (18): [10.1029/2022gl099850] [Journal Article/Letter]
2022. "Debris flow initiation in postglacial terrain: Insights from shallow landslide initiation models and geomorphic mapping in Southeast Alaska." Earth Surface Processes and Landforms [10.1002/esp.5336] [Journal Article/Letter]
2020. "Deep Learning as a Tool to Forecast Hydrologic Response for Landslide‐Prone Hillslopes." Geophysical Research Letters 47 (16): [10.1029/2020gl088731] [Journal Article/Letter]