Hannah Kerner
flowchart A[Hannah Kerner] AC["Associated Concepts (23)"] AW["Authored Works (9)"] CA["Linked Co-Authors (10)"] CI["Linked Collaborating Institutions (10)"] 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" NI["add incoming edge"] NO["add outgoing edge"] NI-- ? -->A A-- ? -->NO click NI "#add-incoming-edge" click NO "#add-outgoing-edge" style NI stroke-width:2px,stroke-dasharray: 5 5 style NO stroke-width:2px,stroke-dasharray: 5 5
- ORCiD
- https://orcid.org/0000-0002-3259-7759
- OpenAlex ID
- https://openalex.org/A5053180513 (API record)
Associated Concepts [?]
- Computer science
- Geography
- Biology
- Artificial intelligence
- Geology
- Physics
- Remote sensing
- Engineering
- Astronomy
- Mathematics
- History
- Computer vision
- Ecology
- Archaeology
- Philosophy
- Astrobiology
- Machine learning
- Environmental science
- Quantum mechanics
- Psychology
- Operating system
- Mars Exploration Program
- Economics
Authored Works
sorted by decreasing year, and then by display-name
- Towards accurate cropland area estimation with Earth observations and machine learning in Sub-Saharan Africa
- Towards Scalable Crop-type mapping with EO and ML for Decision-making
- The Role of Machine Learning and Earth Observations in Supporting Sustainable Food Systems for Smallholders in Africa
- Scalable Cropland and Crop Type Mapping with Machine Learning and Earth Observations for Field-scale Agriculture and Food Security Monitoring
- Multi-region, Cross-Sensor Transfer Learning for Segmentation of Crop Field Boundaries in Satellite Images with Limited Labels
- Deep Learning for Boulder Detection on Planetary Surfaces
- Generating satellite SAR-based landslide density heatmaps for rapid landslide detection in Google Earth Engine
- Evaluating the Impacts of 2020 Iowa Derecho Over Agricultural Fields Using Synthetic Aperture Radar
- Domain-agnostic Outlier Ranking Algorithms (DORA): A Configurable Pipeline for Outlier Detection in Scientific Datasets
Linked Co-Authors
- Alexander L. Handwerger
- Dalia Kirschbaum
- Lior Rubanenko
- M. G. A. Lapôtre
- M. L. Humber
- Mehdi Hosseini
- Ritvik Sahajpal
- Shannan Y. Jones
- Stéphanie C. Werner
- Zhang Xiao
Linked Collaborating Institutions
- California State Polytechnic University, Pomona
- Jet Propulsion Laboratory
- McGill University, Canada
- Monash University, Australia
- NASA Goddard Space Flight Center, Maryland
- National Sun Yat-sen University, Taiwan
- Stanford University, California
- University of California, Los Angeles
- University of Maryland, College Park
- University of Oslo, Norway
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