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ORCIDIurii Shendryk
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Journal Articles
- 2022
[j7]Yuri Shendryk:
Fusing GEDI with earth observation data for large area aboveground biomass mapping. Int. J. Appl. Earth Obs. Geoinformation 115: 103108 (2022)- 2021
- [j6]Yun Chen
, Juan Guerschman, Yuri Shendryk, Dave Henry, Matthew Tom Harrison:
Estimating Pasture Biomass Using Sentinel-2 Imagery and Machine Learning. Remote. Sens. 13(4): 603 (2021) - [j5]Yuri Shendryk, Emma Gorrod:
Leveraging Airborne LiDAR Data and Gradient Boosting for Mapping the Density of Different Sized Trees. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 1572-1579 (2021) - 2020
- [j4]Yuri Shendryk, Jeremy Sofonia, Robert Garrard, Yannik Rist, Danielle Skocaj, Peter J. Thorburn:
Fine-scale prediction of biomass and leaf nitrogen content in sugarcane using UAV LiDAR and multispectral imaging. Int. J. Appl. Earth Obs. Geoinformation 92: 102177 (2020) - [j3]Yuri Shendryk, Natalie A. Rossiter-Rachor, Samantha A. Setterfield, Shaun R. Levick:
Leveraging High-Resolution Satellite Imagery and Gradient Boosting for Invasive Weed Mapping. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 4443-4450 (2020) - 2019
- [j2]Jeremy Sofonia, Yuri Shendryk, Stuart R. Phinn, Chris M. Roelfsema, Farid Kendoul, Danielle Skocaj:
Monitoring sugarcane growth response to varying nitrogen application rates: A comparison of UAV SLAM LiDAR and photogrammetry. Int. J. Appl. Earth Obs. Geoinformation 82 (2019) - 2018
- [j1]Iurii Shendryk, Mark Broich, Mirela Tulbure:
Multi-sensor airborne and satellite data for upscaling tree number information in a structurally complex eucalypt forest. Int. J. Appl. Earth Obs. Geoinformation 73: 397-406 (2018)
Conference and Workshop Papers
- 2023
- [c4]Andrea Nascetti, Ritu Yadav, Kirill Brodt, Qixun Qu, Hongwei Fan, Yuri Shendryk, Isha Shah, Christine Chung:
BioMassters: A Benchmark Dataset for Forest Biomass Estimation using Multi-modal Satellite Time-series. NeurIPS 2023 - 2020
- [c3]Yuri Shendryk, Lecheng Pan, Matthew Craigie, Mattia Stasolla, Catherine Ticehurst, Peter J. Thorburn:
A Satellite-Based Methodology for Harvest Date Detection and Yield Prediction in Sugarcane. IGARSS 2020: 5167-5170 - 2019
- [c2]Yannik Rist, Iurii Shendryk, Foivos I. Diakogiannis, Shaun R. Levick:
Weed Mapping Using Very High Resolution Satellite Imagery and Fully Convolutional Neural Network. IGARSS 2019: 9784-9787 - 2018
- [c1]Iurii Shendryk, Yannik Rist, Rob Lucas, Peter J. Thorburn, Catherine Ticehurst:
Deep Learning - a New Approach for Multi-Label Scene Classification in Planetscope and Sentinel-2 Imagery. IGARSS 2018: 1116-1119
Coauthor Index
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