NASA Logo in the header
Sciences and Exploration Directorate

Eli Orland

(RESEARCH ASSOCIATE)

Eli Orland's Contact Card & Information.
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


Geomorphologist with an affinity for remote sensing, statistical modeling, and AI. My work focuses on landslide hazard modeling and hillslope response to wildfire.

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

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]