Jordan A. Caraballo-Vega

According to our database, Jordan A. Caraballo-Vega authored at least 15 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Trajectory-Agnostic Asteroid Detection in TESS with Deep Learning.

Brian P. Powell, Jorge Martínez-Palomera, Amy Tuson, Christina Hedges, Jessie Dotson, Jordan A. Caraballo-Vega

CoRR, May, 2026

2025

Extrapolation of Periodic Functions Using Binary Encoding of Continuous Numerical Values.

Brian P. Powell, Jordan A. Caraballo-Vega, Mark L. Carroll, Thomas Maxwell, Andrew Ptak, Greg Olmschenk, Jorge Martínez-Palomera

CoRR, December, 2025

Mapping bathymetry of inland water bodies on the North Slope of Alaska with Landsat using Random Forest.

Mark L. Carroll, Margaret R. Wooten, Claire E. Simpson, Caleb Spradlin, Melanie Frost, Mariana Blanco-Rojas, Zachary W. Williams, Jordan A. Caraballo-Vega, Christopher S. R. Neigh

CoRR, February, 2025

Improved Planetary Boundary Layer Sounding Using Hyperspectral Microwave and Backscatter Lidar Data Fusion.

Antonia Gambacorta, Alexander Kotsakis, Dave Gershman, Narges Shahroudi, Robert Rosenberg, John M. Blaisdell, Edward P. Nowottnick, Kenneth E. Christian, Jordan A. Caraballo-Vega, James MacKinnon, Patrick Stegmann, Stephen Nicholls, Joseph Santanello, William G. Blumberg

IEEE Trans. Geosci. Remote. Sens., 2025

Deep Learning Approaches for Cloud Property Retrieval: Comparing Foundation Model Fine-Tuning with Training From Scratch.

Danielle Murphy, Kevin Zhang, Caleb Parten, Autumn Sterling, Haoxiang Zhang, Xingyan Li, Jordan A. Caraballo-Vega, Jie Gong, Mark L. Carroll, Jianwu Wang

Proceedings of the IEEE International Conference on Data Mining, 2025

Predicting Vertical Cloud Type Structure with GOESABI Multi-Channel Passive Satellite Imagery Data Using Deep Learning and Foundation Models.

Sidh Jaddu, Jordan A. Caraballo-Vega, Jie Gong

Proceedings of the IEEE International Conference on Data Mining, 2025

2024

Surface Reflectance From Commercial Very High Resolution Multispectral Imagery Estimated Empirically With Synthetic Landsat (2023).

Paul M. Montesano, Matthew J. Macander, Jordan A. Caraballo-Vega, Melanie Frost, Christopher S. R. Neigh, Gerald V. Frost, Glenn S. Tamkin, Mark L. Carroll

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

SatVision-TOA: A Geospatial Foundation Model for Coarse-Resolution All-Sky Remote Sensing Imagery.

Caleb Spradlin, Jordan A. Caraballo-Vega, Jian Li, Mark L. Carroll, Jie Gong, Paul M. Montesano

CoRR, 2024

A Deep Learning Data Fusion Approach for Modeling Land use in Smallholder Agriculture Systems.

Margaret Wooten, Jordan A. Caraballo-Vega, Nathan Thomas, William C. Wagner, Christopher S. R. Neigh, Mark L. Carroll, Molly E. Brown, Abdoul Aziz Diouf, Modou Mbaye, Babacar Ndao, Konrad Wessels, Woubet G. Alemu

Proceedings of the IGARSS 2024, 2024

EO-Validation: Low Latency Commodity-Based Collaborative Validation Framework for Geoai Data Products.

Jordan A. Caraballo-Vega, Caleb Spradlin, Mark L. Carroll, Christopher S. R. Neigh, Margaret Wooten, Konrad Wessels, Minh Tri Le, Savannah L. Strong, Melanie Frost, Amanda Burke, Woubet G. Alemu, Abdoul Aziz Diouf, Modou Mbaye, Babacar Ndao, Nathan Thomas, Molly Brown

Proceedings of the IGARSS 2024, 2024

2023

Large-Scale Distributed Compositing and Statistics Framework For Very-High-Resolution Remote Sensing Imagery.

Caleb Spradlin, Margaret Wooten, Jordan A. Caraballo-Vega, Mark L. Carroll, Christopher S. R. Neigh, Konrad Wessels, Minh Tri Le, Paul M. Montesano, Woubet G. Alemu, Nathan Thomas

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Producing a Science-Ready Commercial Data Archive: A Workflow for Estimating Surface Reflectance for High Resolution Multispectral Imagery.

Paul M. Montesano, Mark L. Carroll, Christopher S. R. Neigh, Matthew J. Macander, Jordan A. Caraballo-Vega, Gerald V. Frost, Glenn S. Tamkin

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Training Strategies of Cnn for Land Cover Mapping with High Resolution Multi-Spectral Imagery in Senegal.

Minh Tri Le, Konrad Wessels, Jordan A. Caraballo-Vega, Nathan Thomas, Margaret Wooten, Mark L. Carroll, Christopher S. R. Neigh

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Land Cover Mapping in the Amhara Region of Northwest Ethiopia Using Convolutional Neural Networks and Domain Adaptation Techniques.

Woubet G. Alemu, Christopher S. R. Neigh, Jordan A. Caraballo-Vega, Margaret R. Wooten, Ejigu Muluken, Gebre-Michael Maru, Chalie Mulu

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022

Remote Sensing Powered Containers for Big Data and AI/ML Analysis: Accelerating Science, Standardizing Operations.

Jordan A. Caraballo-Vega, Noah S. Oller Smith, Mark L. Carroll, Laura Carriere, John E. Jasen, Minh Tri Le, Jian Li, Kenneth Peck, Savannah L. Strong, Glenn S. Tamkin, Matthew A. Thompson, John H. Thompson

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022