HelioWebAndrea Donnellan
flowchart
A[Andrea Donnellan]
AC["Associated Concepts (23)"]
AW["Authored Works (14)"]
CA["Linked Co-Authors (14)"]
CI["Linked Collaborating Institutions (14)"]
A== dcterms:relation ==>AC
AW== author ==>A
AW== author ==>CA
AW== affil ==>CI
click AC "#associated-concepts"
click AW "#authored-works"
click CA "#co-authors"
click CI "#collaborating-institutions"
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- ORCiD
- https://orcid.org/0000-0001-6843-8373
- OpenAlex ID
- https://openalex.org/A5026928687 (API record)
Associated Concepts [?]
- Geology
- Geography
- Physics
- Computer science
- Seismology
- Engineering
- Biology
- Paleontology
- Geodesy
- Mathematics
- Remote sensing
- Aerospace engineering
- Astronomy
- Artificial intelligence
- Quantum mechanics
- Civil engineering
- Fault (geology)
- Meteorology
- Operating system
- Thermodynamics
- Oceanography
- Telecommunications
- Optics
Authored Works
sorted by decreasing year, and then by display-name
- Remote Sensing of Fault Slip, Fault Creep, and Landscape Change: Implications for Surface Topography and Vegetation Measurement Needs.
- QUAKES-I Airborne Spatial and Temporal Topography and Analysis for Achieving Surface Topography and Vegetation (STV) Goals
- NASA's Surface Topography and Vegetation Study and the QUAKES-I/SAR-Fusion instruments: Mapping our Changing Earth in 3D
- High-resolution Topography and Orthoimagery along the Creeping Section of the San Andreas Fault, California: Structure-from-motion Results from the QUAKES Imager
- Earthquake Nowcasting with Machine Learning: Analyzing the Information Content of Earthquake Catalogs for Scenario Earthquakes
- Advances in Remote Sensing of the eEarth's Surface: Past, Present, and Future
- Vegetation Structure product needs for future science and applications.
- Spatiotemporal variations of stress and strain in the crust near 2019 Ridgecrest Sequence Earthquakes
- Observing Earths Surface Topography and Vegetation Structure in the Next Decade: Science Objectives and Needs
- Nowcasting Earthquakes in Southern California with Machine Learning: Correlations with Regional Tectonic Stress
- Nowcasting Earthquakes by Visualizing the Earthquake Cycle with Machine Learning:A Comparison of Two Methods
- Measuring the Degree of Strain localization along Coseismic Surface Ruptures Using Optical Image Correlation: Implications for Understanding Fault Mechanics and Displacement Hazard
- GeoGateway GIS for Learning about Geodynamics, Data Analysis and Applications to Natural Hazards
- Fault Zone Processes Revealed by UAVSAR: Distributed San Andreas Fault Deformation Above a Shallow Locking Depth
Linked Co-Authors
- C. W. D. Milliner
- David Bekaert
- E. J. Fielding
- Jack Willard
- Jay Parker
- John B. Rundle
- Lisa Grant Ludwig
- Niloufar Abolfathian
- R. Arrowsmith
- Robert Zinke
- Roger Bilham
- Saif Aati
- Simran Sangha
- Stephen B. DeLong
Linked Collaborating Institutions
- Arizona State University
- California Institute of Technology
- George Mason University, Virginia
- Indiana University, Bloomington
- Jet Propulsion Laboratory
- NASA Goddard Space Flight Center, Maryland
- U.S. Geological Survey, Menlo Park
- University of California, Davis
- University of California, Irvine
- University of California, Los Angeles
- University of Colorado, Boulder
- University of Southern California
- University of Virginia
- Utah State University
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