Daniel J. Hayes - researchr alias

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Viewing Publication 1 - 5 from 5

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 StatesElias Ayrey, Daniel J. Hayes, John Kilbride, Shawn Fraver, John A. Kershaw, Bruce D. Cook, Aaron Weiskittel. remotesensing, 13(24):5113, 2021. [doi]

Predicting Water Stress in Wild Blueberry Fields Using Airborne Visible and Near Infrared Imaging SpectroscopyCatherine Chan, Peter R. Nelson, Daniel J. Hayes, Yong-Jiang Zhang, Bruce Hall. remotesensing, 13(8):1425, 2021. [doi]

2020

A Multi-Sensor Unoccupied Aerial System Improves Characterization of Vegetation Composition and Canopy Properties in the Arctic TundraDedi Yang, Ran Meng, Bailey D. Morrison, Andrew McMahon, Wouter Hantson, Daniel J. Hayes, Amy L. Breen, Verity G. Salmon, Shawn Serbin. remotesensing, 12(16):2638, 2020. [doi]

2018

The Use of Three-Dimensional Convolutional Neural Networks to Interpret LiDAR for Forest InventoryElias Ayrey, Daniel J. Hayes. remotesensing, 10(4):649, 2018. [doi]

2014

Automated Detection of Cloud and Cloud Shadow in Single-Date Landsat Imagery Using Neural Networks and Spatial Post-ProcessingM. Joseph Hughes, Daniel J. Hayes. remotesensing, 6(6):4907-4926, 2014. [doi]

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