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Engineering and Technology

D-Index
40
Citations
7517
World Ranking
7244
National Ranking
1

Overview

Nataliia Kussul is affiliated with the National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute" in Ukraine. Their research primarily falls within the field of Environmental Science, with a focus on subfields including Global and Planetary Change, Management, Monitoring, Policy and Law, Ecology, Soil Science, and Public Health, Environmental and Occupational Health.

The scientist's work covers various topics such as Environmental and Biological Research in Conflict Zones, Diverse Scientific Research in Ukraine, Remote Sensing in Agriculture, Soil and Environmental Studies, Legal, Health, Environmental and COVID-19 Challenges, Land Use and Ecosystem Services, and Fire Effects on Ecosystems.

Among recent scientific publications are the following papers:

  • Quantifying war-induced crop losses in Ukraine in near real time to strengthen local and global food security, 2023, Food Policy
  • Local-scale agricultural drought monitoring with satellite-based multi-sensor time-series, 2020, GIScience & Remote Sensing
  • Environmental and political implications of underestimated cropland burning in Ukraine, 2021, Environmental Research Letters
  • A Comparison between Support Vector Machine and Water Cloud Model for Estimating Crop Leaf Area Index, 2021, Remote Sensing
  • Essential earth observation variables for high-level multi-scale indicators and policies, 2022, Environmental Science & Policy

Books published by Nataliia Kussul include research titles issued by the World Bank and its eBooks division, such as:

  • Quantifying War-Induced Crop Losses in Ukraine in near Real Time to Strengthen Local and Global Food Security, 2022
  • Using Machine Learning to Assess Yield Impacts of Crop Rotation: Combining Satellite and Statistical Data for Ukraine, 2020
  • Micro-Level Impacts of the War on Ukraine's Agriculture Sector: Distinguishing Local and National Effects over Time, 2024

Their research has been published frequently in venues such as:

  • International Scientific Technical Journal Problems of Control and Informatics
  • Remote Sensing
  • IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium
  • Environmental Science & Policy
  • Sustainability

Frequent collaborators in their scientific work include:

  • Андрій Шелестов
  • Leonid Shumilo
  • Bohdan Yailymov
  • Hanna Yailymova
  • Sergii Skakun

Best Publications

  • Deep Learning Classification of Land Cover and Crop Types Using Remote Sensing Data

    Nataliia Kussul;Mykola Lavreniuk;Sergii Skakun;Andrii Shelestov

  • Exploring Google Earth Engine platform for big data processing: classification of multi-temporal satellite imagery for crop mapping

    Andrii Shelestov;Mykola Lavreniuk;Nataliia Kussul;Alexei Novikov

  • Near real-time agriculture monitoring at national scale at parcel resolution: Performance assessment of the Sen2-Agri automated system in various cropping systems around the world

    Pierre Defourny;Sophie Bontemps;Nicolas Bellemans;Cosmin Cara

  • Early Season Large-Area Winter Crop Mapping Using MODIS NDVI Data, Growing Degree Days Information and a Gaussian Mixture Model

    Sergii Skakun;Sergii Skakun;Belen Franch;Belen Franch;Eric Vermote;Jean-Claude Roger;Jean-Claude Roger

  • Winter wheat yield forecasting in Ukraine based on Earth observation, meteorological data and biophysical models

    Felix N. Kogan;Nataliia Kussul;Tatiana Adamenko;Sergii Skakun

  • Parcel-Based Crop Classification in Ukraine Using Landsat-8 Data and Sentinel-1A Data

    Nataliia Kussul;Guido Lemoine;Francisco Javier Gallego;Sergii V. Skakun

  • Efficiency Assessment of Multitemporal C-Band Radarsat-2 Intensity and Landsat-8 Surface Reflectance Satellite Imagery for Crop Classification in Ukraine

    Sergii Skakun;Nataliia Kussul;Andrii Yu. Shelestov;Mykola Lavreniuk

  • Flood Hazard and Flood Risk Assessment Using a Time Series of Satellite Images: A Case Study in Namibia

    Sergii Skakun;Nataliia Kussul;Andrii Shelestov;Andrii Shelestov;Olga Kussul

  • Efficiency assessment of using satellite data for crop area estimation in Ukraine

    Francisco Javier Gallego;Nataliia Kussul;Sergii Skakun;Oleksii M. Kravchenko

  • Towards a set of agrosystem-specific cropland mapping methods to address the global cropland diversity

    François Waldner;Diego De Abelleyra;Santiago R. Verón;Miao Zhang

  • Regional scale crop mapping using multi-temporal satellite imagery

    N. Kussul;S. Skakun;A. Shelestov;M. Lavreniuk

  • The use of satellite data for agriculture drought risk quantification in Ukraine

    Sergii Skakun;Nataliia Kussul;Andrii Shelestov;Olga Kussul

  • Flood Monitoring from SAR Data

    Nataliia Kussul;Andrii Shelestov;Sergii Skakun

  • Grid system for flood extent extraction from satellite images

    Nataliia Kussul;Andrii Shelestov;Serhiy Skakun

  • Comparison of biophysical and satellite predictors for wheat yield forecasting in Ukraine

    A. Kolotii;A. Kolotii;N. Kussul;A. Shelestov;A. Shelestov;S. Skakun

  • The use of satellite SAR imagery to crop classification in Ukraine within JECAM project

    Nataliia Kussul;Sergii Skakun;Andrii Shelestov;Olga Kussul

  • A workflow for Sustainable Development Goals indicators assessment based on high-resolution satellite data

    Nataliia Kussul;Mykola Lavreniuk;Andrii Kolotii;Sergii Skakun

  • Geospatial information system for agricultural monitoring

    A. Yu. Shelestov;A. N. Kravchenko;S. V. Skakun;S. V. Voloshin

  • Grid and sensor web technologies for environmental monitoring

    Nataliia Kussul;Andrii Shelestov;Serhiy Skakun

  • A rule-based approach for crop identification using multi-temporal and multi-sensor phenological metrics

    Gohar Ghazaryan;Olena Dubovyk;Fabian Löw;Mykola Lavreniuk

  • Cloud Approach to Automated Crop Classification Using Sentinel-1 Imagery

    Andrii Shelestov;Mykola Lavreniuk;Vladimir Vasiliev;Leonid Shumilo

  • Grid computing technology for hydrological applications

    G. Lecca;M. Petitdidier;L. Hluchy;M. Ivanovic

  • Winter Wheat Yield Assessment from Landsat 8 and Sentinel-2 Data: Incorporating Surface Reflectance, Through Phenological Fitting, into Regression Yield Models

    Sergii Skakun;Eric F. Vermote;Belen Franch;Jean-Claude Roger

Frequent Co-Authors

Sergii Skakun
Sergii Skakun University of Maryland, College Park
Pierre Defourny
Pierre Defourny Université Catholique de Louvain
Vladimir V. Lukin
Vladimir V. Lukin National Aerospace University – Kharkiv Aviation Institute
Jean-Claude Roger
Jean-Claude Roger University of Maryland, College Park
Bingfang Wu
Bingfang Wu Chinese Academy of Sciences
Steffen Fritz
Steffen Fritz International Institute for Applied Systems Analysis
Eric Vermote
Eric Vermote Goddard Space Flight Center
Jeffrey G. Masek
Jeffrey G. Masek Goddard Space Flight Center
Gérard Dedieu
Gérard Dedieu Federal University of Toulouse Midi-Pyrénées
Olivier Hagolle
Olivier Hagolle Centre National D'Etudes Spatiales

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