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Yuri Shendryk
Yuri Shendryk
Geospatial Data Scientist at Dendra
在 dendra.io 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
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
1302019
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
1262020
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
842021
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
842018
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
822019
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
782016
A LiDAR method of canopy structure retrieval for wind modeling of heterogeneous forests
LÉ Boudreault, A Bechmann, L Tarvainen, L Klemedtsson, I Shendryk, ...
Agricultural and forest meteorology 201, 86-97, 2015
712015
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
632016
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
462021
Fusing GEDI with earth observation data for large area aboveground biomass mapping
Y Shendryk
International Journal of Applied Earth Observation and Geoinformation 115 …, 2022
452022
Low-density LiDAR and optical imagery for biomass estimation over boreal forest in Sweden
I Shendryk, M Hellström, L Klemedtsson, N Kljun
Forests 5 (5), 992-1010, 2014
312014
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 Symposium …, 2018
262018
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 Remote …, 2020
242020
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
172022
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 Symposium …, 2019
152019
Integration of LiDAR data and satellite imagery for biomass estimation in conifer-dominated forest
I Shendryk
Student thesis series INES, 2013
62013
Leveraging airborne lidar data and gradient boosting for mapping the density of different sized trees
Y Shendryk, E Gorrod
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2020
52020
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 Symposium …, 2020
52020
Helping farmers mitigate nutrient losses to the Great Barrier Reef through “Digital Agriculture”
P Thorburn, P Fitch, YF 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
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