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Yuri Shendryk
Yuri Shendryk
Geospatial Data Scientist at Dendra
Verified email at dendra.io - Homepage
Title
Cited by
Cited by
Year
Deep learning for multi-modal classification of cloud, shadow and land cover scenes in PlanetScope and Sentinel-2 imagery
Y Shendryk, Y Rist, C Ticehurst, P Thorburn
ISPRS Journal of Photogrammetry and Remote Sensing 157, 124-136, 2019
1242019
Fine-scale prediction of biomass and leaf nitrogen content in sugarcane using UAV LiDAR and multispectral imaging
Y Shendryk, J Sofonia, R Garrard, Y Rist, D Skocaj, P Thorburn
International Journal of Applied Earth Observation and Geoinformation 92, 102177, 2020
1202020
Mapping canopy defoliation by herbivorous insects at the individual tree level using bi-temporal airborne imaging spectroscopy and LiDAR measurements
R Meng, PE Dennison, F Zhao, I Shendryk, A Rickert, RP Hanavan, ...
Remote Sensing of Environment 215, 170-183, 2018
822018
Monitoring sugarcane growth response to varying nitrogen application rates: A comparison of UAV SLAM LiDAR and photogrammetry
J Sofonia, Y Shendryk, S Phinn, C Roelfsema, F Kendoul, D Skocaj
International Journal of Applied Earth Observation and Geoinformation 82, 101878, 2019
762019
Mapping individual tree health using full-waveform airborne laser scans and imaging spectroscopy: A case study for a floodplain eucalypt forest
I Shendryk, M Broich, MG Tulbure, A McGrath, D Keith, SV Alexandrov
Remote Sensing of Environment 187, 202-217, 2016
762016
Estimating pasture biomass using sentinel-2 imagery and machine learning
Y Chen, J Guerschman, Y Shendryk, D Henry, MT Harrison
Remote Sensing 13 (4), 603, 2021
752021
A LiDAR method of canopy structure retrieval for wind modeling of heterogeneous forests
L╔ Boudreault, A Bechmann, L Tarvainen, L Klemedtsson, I Shendryk, ...
Agricultural and forest meteorology 201, 86-97, 2015
702015
Bottom-up delineation of individual trees from full-waveform airborne laser scans in a structurally complex eucalypt forest
I Shendryk, M Broich, MG Tulbure, SV Alexandrov
Remote Sensing of Environment 173, 69-83, 2016
602016
Integrating satellite imagery and environmental data to predict field-level cane and sugar yields in Australia using machine learning
Y Shendryk, R Davy, P Thorburn
Field Crops Research 260, 107984, 2021
452021
Fusing GEDI with earth observation data for large area aboveground biomass mapping
Y Shendryk
International Journal of Applied Earth Observation and Geoinformation 115á…, 2022
342022
Low-density LiDAR and optical imagery for biomass estimation over boreal forest in Sweden
I Shendryk, M Hellstr÷m, L Klemedtsson, N Kljun
Forests 5 (5), 992-1010, 2014
322014
Deep learning-a new approach for multi-label scene classification in planetscope and sentinel-2 imagery
I Shendryk, Y Rist, R Lucas, P Thorburn, C Ticehurst
IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposiumá…, 2018
242018
Leveraging high-resolution satellite imagery and gradient boosting for invasive weed mapping
Y Shendryk, NA Rossiter-Rachor, SA Setterfield, SR Levick
IEEE Journal of Selected Topics in Applied Earth Observations and Remoteá…, 2020
222020
Weed mapping using very high resolution satellite imagery and fully convolutional neural network
Y Rist, I Shendryk, F Diakogiannis, S Levick
IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposiumá…, 2019
152019
A multidisciplinary approach to locating clandestine gravesites in cold cases: Combining geographic profiling, LiDAR, and near surface geophysics
V Berezowski, I Moffat, Y Shendryk, D MacGregor, J Ellis, X Mallett
Forensic Science International: Synergy 5, 100281, 2022
132022
Integration of LiDAR data and satellite imagery for biomass estimation in conifer-dominated forest
I Shendryk
Student thesis series INES, 2013
62013
A Satellite-Based Methodology for Harvest Date Detection and Yield Prediction in Sugarcane
Y Shendryk, L Pan, M Craigie, M Stasolla, C Ticehurst, P Thorburn
IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposiumá…, 2020
52020
Helping farmers mitigate nutrient losses to the Great Barrier Reef through “Digital Agriculture”
P Thorburn, P Fitch, Y Zhang, Y Shendryk, T Webster, J Biggs, M Mooij, ...
Occasional Report, Fertiliser and Lime Research Centre, Massey University 32, 6, 2019
52019
Evaluation of satellite remote sensing pathways for mapping and monitoring of gamba grass for the Savanna Fire Management Methodology
SR Levick, Y Shendryk, SA Setterfield, NA Rossiter-Rachor
Darwin: CSIRO and Charles Darwin University, 2018
42018
Digital agriculture helping farmers reduce impacts of cropping on the great barrier reef.
PJ Thorburn, P Fitch, YF Zhang, Y Shendryk, T Webster, J Biggs, M Mooij, ...
22019
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Articles 1–20