| Toward a Monte Carlo approach to selecting climate variables in MaxEnt JL Schnase, ML Carroll, RL Gill, GS Tamkin, J Li, SL Strong, TP Maxwell, ... PloS one 16 (3), e0237208, 2021 | 15 | 2021 |
| MOD44W: Global MODIS water maps user guide ML Carroll, CM DiMiceli, JRG Townshend, RA Sohlberg, AB Hubbard, ... Int. J. Digit. Earth 10, 207-218, 2017 | 4 | 2017 |
| A novel approach to impact crater mapping and analysis on Enceladus, using machine learning M Blanco‐Rojas, ML Carroll, CS Spradlin, JA Caraballo‐Vega, ... Journal of Geophysical Research: Planets 129 (2), e2023JE008010, 2024 | | 2024 |
| Lake Bathymetry Maps derived from Landsat and Random Forest Modeling, North Slope, AK M BLANCO-ROJAS, CS SPRADLIN, ML CARROLL, MJ FROST, ... ORNL DAAC, 2024 | | 2024 |
| SatVision: An open-source foundation model based on vision transformer and remote sensing imagery J Li, C Spradlin, J Caraballo-Vega, M Carroll AGU23, 2023 | | 2023 |
| Finding the Trees in a (Random) Forest: How Do We Get a Representative Sample in a Training Dataset for a Global Land Cover Classification? A Burke, M Carroll, C Spradlin AGU23, 2023 | | 2023 |
| Satellite-Vision Downstream: Examining the Capabilities of a Pre-Trained Transformer-Based Vision Model on Multi-Modal, Multi-Scale Downstream Tasks C Spradlin, J Li, J Caraballo-Vega, M Carroll AGU23, 2023 | | 2023 |
| Making our commercial satellite data M Carroll, G Tamkin, CSR Neigh, P Montesano, RL Gill, C Spradlin, ... AGU23, 2023 | | 2023 |
| Large-Scale Distributed Compositing and Statistics Framework For Very-High-Resolution Remote Sensing Imagery C Spradlin, M Wooten, JA Caraballo-Vega, ML Carroll, CSR Neigh, ... IGARSS 2023-2023 IEEE International Geoscience and Remote Sensing Symposium …, 2023 | | 2023 |
| Lake Bathymetry Maps derived from Landsat and Random Forest Modeling, North Slope, AK. ORNL DAAC, Oak Ridge, Tennessee, USA M Blanco-Rojas, CS Spradlin, ML Carroll, MJ Frost, JA Caraballo-Vega | | 2023 |
| Applied Machine Learning for Structural Mapping of Faults on Venus Z Williams, C Spradlin, J Caraballo-Vega, M Carroll, M Blanco-Rojas Fall Meeting 2022, 2022 | | 2022 |
| Machine Learning Approach to Crater Mapping on Enceladus M Blanco-Rojas, M Carroll, C Spradlin, Z Williams, J Caraballo-Vega AGU Fall Meeting Abstracts 2022, P35D-1905, 2022 | | 2022 |
| Quantifying the Reliability and Robustness of Random Forest and Boosted Decision Tree Models with Large Training Data Sets C Spradlin, M Carroll, Z Williams, RL Gill, M Blanco-Rojas, S Strong, J Li, ... AGU Fall Meeting Abstracts 2022, IN33A-03, 2022 | | 2022 |
| Towards a next generation NASA fire information system: Harnessing the full power of NASA fire data and models A Shiklomanov, D Morton, M Follette-Cook, L Ott, M Carroll, Y Chen, ... AGU Fall Meeting Abstracts 2021, IN51A-01, 2021 | | 2021 |
