Daniel J. Hayes

Orcid: 0000-0002-3011-7934

Affiliations:
  • University of Maine, School of Forest Resources, Orono, USA


According to our database1, Daniel J. Hayes authored at least 6 papers between 2014 and 2021.

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

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2021
Predicting Water Stress in Wild Blueberry Fields Using Airborne Visible and Near Infrared Imaging Spectroscopy.
Remote. Sens., 2021

Synthesizing Disparate LiDAR and Satellite Datasets through Deep Learning to Generate Wall-to-Wall Regional Inventories for the Complex, Mixed-Species Forests of the Eastern United States.
Remote. Sens., 2021

2020
A Multi-Sensor Unoccupied Aerial System Improves Characterization of Vegetation Composition and Canopy Properties in the Arctic Tundra.
Remote. Sens., 2020

2019
A UAS Platform for Assessing Spectral, Structural, and Thermal Patterns of Arctic Tundra Vegetation.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

2018
The Use of Three-Dimensional Convolutional Neural Networks to Interpret LiDAR for Forest Inventory.
Remote. Sens., 2018

2014
Automated Detection of Cloud and Cloud Shadow in Single-Date Landsat Imagery Using Neural Networks and Spatial Post-Processing.
Remote. Sens., 2014


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