| 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 | 131 | 2019 |
| 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 | 128 | 2020 |
| 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 | 87 | 2021 |
| 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 | 86 | 2018 |
| 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 | 82 | 2019 |
| 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 | 78 | 2016 |
| 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 | 72 | 2015 |
| 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 | 63 | 2016 |
| 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 | 48 | 2021 |
| Fusing GEDI with earth observation data for large area aboveground biomass mapping Y Shendryk International Journal of Applied Earth Observation and Geoinformation 115 …, 2022 | 46 | 2022 |
| 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 | 31 | 2014 |
| 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 | 26 | 2018 |
| 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 | 25 | 2020 |
| 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 | 18 | 2022 |
| 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 | 17 | 2019 |
| 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 | 6 | 2020 |
| Integration of LiDAR data and satellite imagery for biomass estimation in conifer-dominated forest I Shendryk Student thesis series INES, 2013 | 6 | 2013 |
| Estimating pasture biomass using sentinel-2 imagery and machine learning. Remote Sens 13: 603 Y Chen, J Guerschman, Y Shendryk, D Henry, MT Harrison | 5 | 2021 |
| 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 | 5 | 2019 |
| 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 | 4 | 2020 |