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Aaron E. Maxwell
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2020 – today
- 2024
- [j18]Sarah Farhadpour, Timothy A. Warner, Aaron E. Maxwell:
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, Aaron E. Maxwell, Joshua T. Meadows:
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, Jinyuan Shao, Shiyan Pang, Yameng Wang, Aaron E. Maxwell, Xiangyun Hu, Zhi Gao, Ting Lan, Guofan Shao:
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, Barry T. Wilson, Justin J. Holgerson, Michelle S. Bester:
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, Isaac Nealey, Michael R. Gallagher, Nicholas S. Skowronski, Brenden E. McNeil:
Synthetic Forest Stands and Point Clouds for Model Selection and Feature Space Comparison. Remote. Sens. 15(18): 4407 (2023) - 2022
- [j13]Aaron E. Maxwell, Michelle S. Bester, Christopher A. Ramezan:
Enhancing Reproducibility and Replicability in Remote Sensing Deep Learning Research and Practice. Remote. Sens. 14(22): 5760 (2022) - 2021
- [j12]Aaron E. Maxwell, Maneesh Sharma, J. Steven Kite, Kurt A. Donaldson, Shannon M. Maynard, Caleb M. Malay:
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, Timothy A. Warner, Aaron E. Maxwell, Bradley S. Price:
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, Timothy A. Warner, Luis Andrés Guillén:
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, Timothy A. Warner, Luis Andrés Guillén:
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, Aaron E. Maxwell, Luis Andrés Guillén, Alexis Everland, E. Louise Loudermilk, Nicholas S. Skowronski:
Estimation of Plot-Level Burn Severity Using Terrestrial Laser Scanning. Remote. Sens. 13(20): 4168 (2021) - [j7]Aaron E. Maxwell, Maneesh Sharma, Kurt A. Donaldson:
Explainable Boosting Machines for Slope Failure Spatial Predictive Modeling. Remote. Sens. 13(24): 4991 (2021) - 2020
- [j6]Aaron E. Maxwell, Maneesh Sharma, James S. Kite, Kurt A. Donaldson, James A. Thompson, Matthew L. Bell, Shannon M. Maynard:
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, Pariya Pourmohammadi, Joey D. Poyner:
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, Timothy A. Warner:
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, Michelle S. Bester, Luis Andrés Guillén, Christopher A. Ramezan, Dennis J. Carpinello, Yiting Fan, Faith M. Hartley, Shannon M. Maynard, Jaimee L. Pyron:
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, Timothy A. Warner, Aaron E. Maxwell:
Evaluation of Sampling and Cross-Validation Tuning Strategies for Regional-Scale Machine Learning Classification. Remote. Sens. 11(2): 185 (2019) - [j1]Aaron E. Maxwell, Michael P. Strager, Timothy A. Warner, Christopher A. Ramezan, Alice N. Morgan, Cameron E. Pauley:
Large-Area, High Spatial Resolution Land Cover Mapping Using Random Forests, GEOBIA, and NAIP Orthophotography: Findings and Recommendations. Remote. Sens. 11(12): 1409 (2019)
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