Eric Rowell

Affiliations:
  • University of Montana, Missoula, MT, USA


According to our database1, Eric Rowell authored at least 11 papers between 2002 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Deep Learning Approach to Improve Spatial Resolution of GOES-17 Wildfire Boundaries Using VIIRS Satellite Data.
Remote. Sens., February, 2024

FUELVISION: A Multimodal Data Fusion and Multimodel Ensemble Algorithm for Wildfire Fuels Mapping.
CoRR, 2024

2023
Evaluating Close-Range Photogrammetry for 3D Understory Fuel Characterization and Biomass Prediction in Pine Forests.
Remote. Sens., October, 2023

Quantifying Forest Litter Fuel Moisture Content with Terrestrial Laser Scanning.
Remote. Sens., March, 2023

Crown-Level Structure and Fuel Load Characterization from Airborne and Terrestrial Laser Scanning in a Longleaf Pine (Pinus palustris Mill.) Forest Ecosystem.
Remote. Sens., February, 2023

FLAME 2: Fire detection and modeLing: Aerial Multi-spectral imagE dataset.
Dataset, February, 2023

Modeling Crown-Bulk Density from Airborne and Terrestrial Laser Scanning Data in a Longleaf Pine Forest Ecosystem.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022
Wildland Fire Detection and Monitoring Using a Drone-Collected RGB/IR Image Dataset.
IEEE Access, 2022

Wildland Fire Detection and Monitoring using a Drone-collected RGB/IR Image Dataset.
Proceedings of the 51st IEEE Applied Imagery Pattern Recognition Workshop, 2022

2011
Deriving Fuel Mass by Size Class in Douglas-fir (<i>Pseudotsuga menziesii</i>) Using Terrestrial Laser Scanning.
Remote. Sens., 2011

2002
Relationships among airborne scanning LiDAR, high resolution multispectral imagery, and ground-based inventory data in a ponderosa pine forest.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2002


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