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43
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Overview

Sergii Skakun is affiliated with the University of Maryland, College Park in the United States. Their research primarily focuses on environmental science, with a strong emphasis on remote sensing applications related to agriculture, land use, and ecosystem services.

The main fields of study in which Skakun has contributed include:

  • Environmental Science

Within the broader field, their work spans several subfields:

  • Ecology
  • Global and Planetary Change
  • Atmospheric Science
  • Environmental Engineering
  • Plant Science

Key topics addressed in their research are:

  • Remote Sensing in Agriculture
  • Land Use and Ecosystem Services
  • Remote Sensing and LiDAR Applications
  • Atmospheric aerosols and clouds
  • Remote Sensing and Land Use
  • Remote-Sensing Image Classification
  • Botany and Plant Ecology Studies

Among Skakun's frequent co-authors are:

  • Inbal Becker-Reshef
  • Leonid Shumilo
  • Jean-Claude Roger
  • Éric Vermote
  • Nataliia Kussul

Publications by Skakun appear regularly in notable scientific journals. The primary venues for their work include:

  • Remote Sensing of Environment
  • Science of Remote Sensing
  • Zenodo (CERN European Organization for Nuclear Research)
  • Remote Sensing
  • SSRN Electronic Journal

Recent papers authored or co-authored by Sergii Skakun include:

  • "Cloud Mask Intercomparison eXercise (CMIX): An evaluation of cloud masking algorithms for Landsat 8 and Sentinel-2" (2022), Remote Sensing of Environment
  • "Assessing within-Field Corn and Soybean Yield Variability from WorldView-3, Planet, Sentinel-2, and Landsat 8 Satellite Imagery" (2021), Remote Sensing

Other notable papers in the broader context of remote sensing and environmental studies, although not exclusively authored by Skakun, include:

  • "The 50-year Landsat collection 2 archive" (2023), Science of Remote Sensing
  • "Environmental and political implications of underestimated cropland burning in Ukraine" (2021), Environmental Research Letters
  • "Evaluating plant photosynthetic traits via absorption coefficient in the photosynthetically active radiation region" (2021), Remote Sensing of Environment

Best Publications

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

    Nataliia Kussul;Mykola Lavreniuk;Sergii Skakun;Andrii Shelestov

  • The Harmonized Landsat and Sentinel-2 surface reflectance data set

    Martin Claverie;Martin Claverie;Junchang Ju;Junchang Ju;Jeffrey G. Masek;Jennifer L. Dungan

  • 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

  • Characterization of Sentinel-2A and Landsat-8 top of atmosphere, surface, and nadir BRDF adjusted reflectance and NDVI differences

    Hankui K. Zhang;David P. Roy;Lin Yan;Zhongbin Li

  • 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

  • Combined Use of Landsat-8 and Sentinel-2A Images for Winter Crop Mapping and Winter Wheat Yield Assessment at Regional Scale

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

  • Flood Monitoring from SAR Data

    Nataliia Kussul;Andrii Shelestov;Sergii 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

  • LaSRC (Land Surface Reflectance Code): Overview, application and validation using MODIS, VIIRS, LANDSAT and Sentinel 2 data's

    E. Vermote;J.C. Roger;B. Franch;Sergii Skakun

  • A Neural Network Approach to Flood Mapping Using Satellite Imagery

    Sergii Skakun

  • Geospatial information system for agricultural monitoring

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

  • Transitioning from MODIS to VIIRS: an analysis of inter-consistency of NDVI data sets for agricultural monitoring

    Sergii Skakun;Christopher O. Justice;Eric Vermote;Jean-Claude Roger

  • 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 mapping

    Sergii Skakun;Jean-Claude Roger;Eric F. Vermote;Jeffrey G. Masek

Frequent Co-Authors

Jean-Claude Roger
Jean-Claude Roger University of Maryland, College Park
Eric Vermote
Eric Vermote Goddard Space Flight Center
Nataliia Kussul
Nataliia Kussul National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”
Christopher O. Justice
Christopher O. Justice University of Maryland, College Park
Jeffrey G. Masek
Jeffrey G. Masek Goddard Space Flight Center
José A. Sobrino
José A. Sobrino University of Valencia
Anatoly A. Gitelson
Anatoly A. Gitelson University of Nebraska–Lincoln
Brent N. Holben
Brent N. Holben Goddard Space Flight Center
Pierre Defourny
Pierre Defourny Université Catholique de Louvain
Stefan Siebert
Stefan Siebert University of Göttingen

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