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Daniel J. Hayes

Dan Hayes 0001

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affiliation: University of Maine, School of Forest Resources, Orono, USA

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2020 – today

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2021
[j5]
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  - journals/remotesensing/ChanNHZH21
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  - https://dblp.org/rec/journals/remotesensing/ChanNHZH21
Catherine Chan, Peter R. Nelson, Daniel J. Hayes, Yong-Jiang Zhang, Bruce Hall:
Predicting Water Stress in Wild Blueberry Fields Using Airborne Visible and Near Infrared Imaging Spectroscopy. Remote. Sens. 13(8): 1425 (2021)
[j4]
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  - journals/remotesensing/AyreyHKFKCW21
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  - https://dblp.org/rec/journals/remotesensing/AyreyHKFKCW21
Elias Ayrey, Daniel J. Hayes, John Kilbride, Shawn Fraver, John A. Kershaw, Bruce D. Cook, Aaron Weiskittel:
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. 13(24): 5113 (2021)
2020
[j3]
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  - journals/remotesensing/YangMMMHHBSS20
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Dedi Yang, Ran Meng, Bailey D. Morrison, Andrew McMahon, Wouter Hantson, Daniel J. Hayes, Amy L. Breen, Verity G. Salmon, Shawn P. Serbin:
A Multi-Sensor Unoccupied Aerial System Improves Characterization of Vegetation Composition and Canopy Properties in the Arctic Tundra. Remote. Sens. 12(16): 2638 (2020)

2010 – 2019

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2019
[c1]
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  - conf/igarss/MengYMHHBS19
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Ran Meng, Dedi Yang, Andrew McMahon, Wouter Hantson, Dan Hayes, Amy L. Breen, Shawn P. Serbin:
A UAS Platform for Assessing Spectral, Structural, and Thermal Patterns of Arctic Tundra Vegetation. IGARSS 2019: 9113-9116
2018
[j2]
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  - journals/remotesensing/AyreyH18
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Elias Ayrey, Daniel J. Hayes:
The Use of Three-Dimensional Convolutional Neural Networks to Interpret LiDAR for Forest Inventory. Remote. Sens. 10(4): 649 (2018)
2014
[j1]
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  - journals/remotesensing/HughesH14
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M. Joseph Hughes, Daniel J. Hayes:
Automated Detection of Cloud and Cloud Shadow in Single-Date Landsat Imagery Using Neural Networks and Spatial Post-Processing. Remote. Sens. 6(6): 4907-4926 (2014)

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