Name
Affiliation
Papers
SERGII SKAKUN
Space Research Institute NASU-SSAU, Glushkov Ave, 40, build. 4/1, 03680 Kyiv, Ukraine
37
Collaborators
Citations 
PageRank 
88
130
17.69
Referers 
Referees 
References 
405
448
173
Search Limit
100448
Title
Citations
PageRank
Year
Forecasting Wheat Yield Using Remote Sensing - The ARYA Forecasting System.00.342021
An experimental sky-image-derived cloud validation dataset for Sentinel-2 and Landsat 8 satellites over NASA GSFC00.342021
Within-Field Rice Yield Estimation Based on Sentinel-2 Satellite Data00.342021
Crop Yield Forecast at Field Scale Using Deep Neural Network Algorithm.00.342021
Generating Winter Wheat Global Crop Calendars in the Framework of Worldcereal.00.342021
Remote Sensing of Coconut Trees in Tonga Using Very High Spatial Resolution WorldView-3 Data.10.392020
A workflow for Sustainable Development Goals indicators assessment based on high-resolution satellite data10.402020
A workflow for Sustainable Development Goals indicators assessment based on high-resolution satellite data10.402020
Winter Wheat Yield Assessment from Landsat 8 and Sentinel-2 Data: Incorporating Surface Reflectance, Through Phenological Fitting, into Regression Yield Models.10.362019
Remote sensing based yield monitoring: Application to winter wheat in United States and Ukraine.20.392019
Evaluation of Near-Surface Air Temperature From Reanalysis Over the United States and Ukraine: Application to Winter Wheat Yield Forecasting00.342019
Validation of the LaSRC Cloud Detection Algorithm for Landsat 8 Images00.342019
A Method for Landsat and Sentinel 2 (HLS) BRDF Normalization.10.352019
Roadside collection of training data for cropland mapping is viable when environmental and management gradients are surveyed10.362019
Spectral Adjustment Model's Analysis and Application to Remote Sensing Data00.342019
Prior Season Crop Type Masks for Winter Wheat Yield Forecasting: A US Case Study.10.372018
Multispectral Misregistration of Sentinel-2A Images: Analysis and Implications for Potential Applications.20.392017
Automatic sub-pixel co-registration of Landsat-8 Operational Land Imager and Sentinel-2A Multi-Spectral Instrument images using phase correlation and machine learning based mapping70.512017
Deep Learning Classification of Land Cover and Crop Types Using Remote Sensing Data.541.952017
Parcel-Based Crop Classification in Ukraine Using Landsat-8 Data and Sentinel-1A Data.30.462016
Deep learning approach for large scale land cover mapping based on remote sensing data fusion20.412016
Efficiency Assessment of Multitemporal C-Band Radarsat-2 Intensity and Landsat-8 Surface Reflectance Satellite Imagery for Crop Classification in Ukraine.20.422016
Incorporating Yearly Derived Winter Wheat Maps Into Winter Wheat Yield Forecasting Model00.342016
Regional Retrospective High Resolution Land Cover For Ukraine: Methodology And Results60.592015
Parcel based classification for agricultural mapping and monitoring using multi-temporal satellite image sequences20.422015
Geospatial Intelligence and Data Fusion Techniques for Sustainable Development Problems.50.632015
Mapping Of Biophysical Parameters Based On High Resolution Eo Imagery For Jecam Test Site In Ukraine00.342015
Quantitative estimation of drought risk in Ukraine using satellite data00.342014
A Utility-Based Reputation Model for Grid Resource Management System.00.342014
Efficiency assessment of using satellite data for crop area estimation in Ukraine.40.642014
Service-oriented infrastructure for flood mapping using optical and SAR satellite data.20.452014
The use of satellite SAR imagery to crop classification in Ukraine within JECAM project60.692014
Resilience Aspects in the Sensor Web Infrastructure for Natural Disaster Monitoring and Risk Assessment Based on Earth Observation Data00.342014
Sensor Web approach to flood monitoring and risk assessment00.342013
Use of the Earth Observing One (EO-1) Satellite for the Namibia SensorWeb Flood Early Warning Pilot60.542013
Assessing security threat scenarios for utility-based reputation model in grids40.392013
Winter wheat yield forecasting in Ukraine based on Earth observation, meteorological data and biophysical models.161.432013