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
(RESEARCH ASSOCIATE)
| Email: | elijah.orland@nasa.gov |
| Org Code: | 618 |
| Address: |
NASA/GSFC Mail Code 618 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
2026. "Leveraging additional VIIRS information to improve wildfire tracking in the western US.", Remote Sensing of Environment, 334 115156 [10.1016/j.rse.2025.115156] [Journal Article/Letter]
2025. "A Fire‐Driven Shift in Canadian Air Quality Concerns Mirrors Trends in the US.", Earth's Future, 13 (12): e2025EF007041 [10.1029/2025ef007041] [Journal Article/Letter]
2025. "Near real-time indicators of burn severity in the western U.S. from active fire tracking.", Fire Ecology, 21 (1): 55 [10.1186/s42408-025-00407-x] [Journal Article/Letter]
2025. "An Observation‐Driven Framework for Modeling Post‐Fire Hydrologic Response: Evaluation for Two Central California Case Studies.", Water Resources Research, 61 (2): [10.1029/2023wr036582] [Journal Article/Letter]
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]