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Aaron E. Maxwell
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2020 – today
- 2024
- [j18]Sarah Farhadpour
, Timothy A. Warner
Selecting and Interpreting Multiclass Loss and Accuracy Assessment Metrics for Classifications with Class Imbalance: Guidance and Best Practices. Remote. Sens. 16(3): 533 (2024) - [j17]Christopher A. Ramezan
An analysis of qualifications and requirements for geographic information systems (GIS) positions in the United States. Trans. GIS 28(5): 1090-1110 (2024) - [j16]Lina Tang
Bolstering Performance Evaluation of Image Segmentation Models With Efficacy Metrics in the Absence of a Gold Standard. IEEE Trans. Geosci. Remote. Sens. 62: 1-12 (2024) - 2023
- [j15]Aaron E. Maxwell
Comparing harmonic regression and GLAD Phenology metrics for estimation of forest community types and aboveground live biomass within forest inventory and analysis plots. Int. J. Appl. Earth Obs. Geoinformation 122: 103435 (2023) - [j14]Michelle S. Bester, Aaron E. Maxwell
Synthetic Forest Stands and Point Clouds for Model Selection and Feature Space Comparison. Remote. Sens. 15(18): 4407 (2023) - 2022
- [j13]Aaron E. Maxwell
Enhancing Reproducibility and Replicability in Remote Sensing Deep Learning Research and Practice. Remote. Sens. 14(22): 5760 (2022) - 2021
- [j12]Aaron E. Maxwell
Assessing the Generalization of Machine Learning-Based Slope Failure Prediction to New Geographic Extents. ISPRS Int. J. Geo Inf. 10(5): 293 (2021) - [j11]Christopher A. Ramezan
Effects of Training Set Size on Supervised Machine-Learning Land-Cover Classification of Large-Area High-Resolution Remotely Sensed Data. Remote. Sens. 13(3): 368 (2021) - [j10]Aaron E. Maxwell
Accuracy Assessment in Convolutional Neural Network-Based Deep Learning Remote Sensing Studies - Part 1: Literature Review. Remote. Sens. 13(13): 2450 (2021) - [j9]Aaron E. Maxwell
Accuracy Assessment in Convolutional Neural Network-Based Deep Learning Remote Sensing Studies - Part 2: Recommendations and Best Practices. Remote. Sens. 13(13): 2591 (2021) - [j8]Michael R. Gallagher
Estimation of Plot-Level Burn Severity Using Terrestrial Laser Scanning. Remote. Sens. 13(20): 4168 (2021) - [j7]Aaron E. Maxwell
Explainable Boosting Machines for Slope Failure Spatial Predictive Modeling. Remote. Sens. 13(24): 4991 (2021) - 2020
- [j6]Aaron E. Maxwell
Slope Failure Prediction Using Random Forest Machine Learning and LiDAR in an Eroded Folded Mountain Belt. Remote. Sens. 12(3): 486 (2020) - [j5]Aaron E. Maxwell
Mapping the Topographic Features of Mining-Related Valley Fills Using Mask R-CNN Deep Learning and Digital Elevation Data. Remote. Sens. 12(3): 547 (2020) - [j4]Aaron E. Maxwell
Thematic Classification Accuracy Assessment with Inherently Uncertain Boundaries: An Argument for Center-Weighted Accuracy Assessment Metrics. Remote. Sens. 12(12): 1905 (2020) - [j3]Aaron E. Maxwell
Semantic Segmentation Deep Learning for Extracting Surface Mine Extents from Historic Topographic Maps. Remote. Sens. 12(24): 4145 (2020)
2010 – 2019
- 2019
- [j2]Christopher A. Ramezan
Evaluation of Sampling and Cross-Validation Tuning Strategies for Regional-Scale Machine Learning Classification. Remote. Sens. 11(2): 185 (2019) - [j1]Aaron E. Maxwell
Large-Area, High Spatial Resolution Land Cover Mapping Using Random Forests, GEOBIA, and NAIP Orthophotography: Findings and Recommendations. Remote. Sens. 11(12): 1409 (2019)
Coauthor Index
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