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. "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]