Iurii Shendryk

Orcid: 0000-0003-1657-1361

According to our database1, Iurii Shendryk authored at least 11 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2023
BioMassters: A Benchmark Dataset for Forest Biomass Estimation using Multi-modal Satellite Time-series.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
Fusing GEDI with earth observation data for large area aboveground biomass mapping.
Int. J. Appl. Earth Obs. Geoinformation, 2022

2021
Leveraging Airborne LiDAR Data and Gradient Boosting for Mapping the Density of Different Sized Trees.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

Estimating Pasture Biomass Using Sentinel-2 Imagery and Machine Learning.
Remote. Sens., 2021

2020
Leveraging High-Resolution Satellite Imagery and Gradient Boosting for Invasive Weed Mapping.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020

Fine-scale prediction of biomass and leaf nitrogen content in sugarcane using UAV LiDAR and multispectral imaging.
Int. J. Appl. Earth Obs. Geoinformation, 2020

A Satellite-Based Methodology for Harvest Date Detection and Yield Prediction in Sugarcane.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2019
Monitoring sugarcane growth response to varying nitrogen application rates: A comparison of UAV SLAM LiDAR and photogrammetry.
Int. J. Appl. Earth Obs. Geoinformation, 2019

Weed Mapping Using Very High Resolution Satellite Imagery and Fully Convolutional Neural Network.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

2018
Multi-sensor airborne and satellite data for upscaling tree number information in a structurally complex eucalypt forest.
Int. J. Appl. Earth Obs. Geoinformation, 2018

Deep Learning - a New Approach for Multi-Label Scene Classification in Planetscope and Sentinel-2 Imagery.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018


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