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NATALIIA KUSSUL
Author Info
Open Visualization
Name
Affiliation
Papers
NATALIIA KUSSUL
Space Research Institute NASU-SSAU, Glushkov Ave, 40, build. 4/1, 03680 Kyiv, Ukraine
41
Collaborators
Citations
PageRank
142
191
25.01
Referers
Referees
References
485
535
210
Search Limit
100
535
Publications (41 rows)
Collaborators (100 rows)
Referers (100 rows)
Referees (100 rows)
Title
Citations
PageRank
Year
Validation of the Global Human Settlement Layer and NASA Population Data for Ukraine
0
0.34
2021
Automatic Deforestation Detection based on the Deep Learning in Ukraine
0
0.34
2021
A workflow for Sustainable Development Goals indicators assessment based on high-resolution satellite data
1
0.40
2020
Cloud Approach to Automated Crop Classification Using Sentinel-1 Imagery
3
0.44
2020
Crop monitoring technology based on time series of satellite imagery
1
0.36
2020
Developing food, water and energy nexus workflows
2
0.41
2020
Sentinel-3 Urban Heat Island Monitoring and analysis for Kyiv Based on Vector Data
0
0.34
2019
Winter Wheat Yield Assessment from Landsat 8 and Sentinel-2 Data: Incorporating Surface Reflectance, Through Phenological Fitting, into Regression Yield Models.
1
0.36
2019
Land Cover and Land Use Monitoring Based on Satellite Data within World Bank Project
0
0.34
2019
Roadside collection of training data for cropland mapping is viable when environmental and management gradients are surveyed
1
0.36
2019
Deep Learning Classification of Land Cover and Crop Types Using Remote Sensing Data.
54
1.95
2017
Towards an Improved Environmental Understanding of Land Surface Dynamics in Ukraine Based on Multi-Source Remote Sensing Time-Series Datasets from 1982 to 2013.
0
0.34
2016
Parcel-Based Crop Classification in Ukraine Using Landsat-8 Data and Sentinel-1A Data.
3
0.46
2016
Deep learning approach for large scale land cover mapping based on remote sensing data fusion
2
0.41
2016
A Unified Cropland Layer at 250 m for Global Agriculture Monitoring
2
0.40
2016
Validation Methods For Regional Retrospective High Resolution Land Cover For Ukraine
0
0.34
2016
Efficiency Assessment of Multitemporal C-Band Radarsat-2 Intensity and Landsat-8 Surface Reflectance Satellite Imagery for Crop Classification in Ukraine.
2
0.42
2016
Along The Season Crop Classification In Ukraine Based On Time Series Of Optical And Sar Images Using Ensemble Of Neural Network Classifiers
1
0.37
2016
Building a Data Set over 12 Globally Distributed Sites to Support the Development of Agriculture Monitoring Applications with Sentinel-2
8
0.58
2015
Regional Retrospective High Resolution Land Cover For Ukraine: Methodology And Results
6
0.59
2015
Parcel based classification for agricultural mapping and monitoring using multi-temporal satellite image sequences
2
0.42
2015
Geospatial Intelligence and Data Fusion Techniques for Sustainable Development Problems.
5
0.63
2015
Quantitative estimation of drought risk in Ukraine using satellite data
0
0.34
2014
A Utility-Based Reputation Model for Grid Resource Management System.
0
0.34
2014
Efficiency assessment of using satellite data for crop area estimation in Ukraine.
4
0.64
2014
Service-oriented infrastructure for flood mapping using optical and SAR satellite data.
2
0.45
2014
The use of satellite SAR imagery to crop classification in Ukraine within JECAM project
6
0.69
2014
Resilience Aspects in the Sensor Web Infrastructure for Natural Disaster Monitoring and Risk Assessment Based on Earth Observation Data
0
0.34
2014
Orthorectification of Sich-2 satellite images using elastic models
0
0.34
2014
Efficiency estimation of different satellite data usage for winter wheat yield forecasting in Ukraine
1
0.38
2014
Assessment of relative efficiency of using MODIS data to winter wheat yield forecasting in Ukraine
6
0.74
2013
Sensor Web approach to flood monitoring and risk assessment
0
0.34
2013
Use of the Earth Observing One (EO-1) Satellite for the Namibia SensorWeb Flood Early Warning Pilot
6
0.54
2013
Assessing security threat scenarios for utility-based reputation model in grids
4
0.39
2013
Winter wheat yield forecasting in Ukraine based on Earth observation, meteorological data and biophysical models.
16
1.43
2013
The wide area grid testbed for flood monitoring using earth observation data
13
1.41
2012
Crop area estimation in Ukraine using satellite data within the MARS project
12
1.32
2012
The Data Fusion Grid Infrastructure: Project Objectives and Achievements
2
0.39
2010
Grid and sensor web technologies for environmental monitoring
15
2.44
2009
Web service for biodiversity estimation using remote sensing data
1
0.63
2008
Grid system for flood extent extraction from satellite images
9
1.27
2008
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