Sergii Skakun

Associate Professor

University of Maryland at College Park

United States

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About

Dr. Sergii Skakun is an Associate Professor at the University of Maryland, College Park, United States. His research primarily focuses on remote sensing applications in agriculture and forestry, spatial variability analysis, and climate change impacts. He has published significant articles addressing crop yield estimation, land cover mapping, and environmental conservation strategies in his recent work.

Articles (20)

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2025

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2024

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2022

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2022

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2022

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2022

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2022

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2022

Collaborators (11)

Yiming Zhang

University of Maryland

UNITED STATES

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Steven Hancock

Lecturer

University of Edinburgh

UNITED KINGDOM

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Baihong Pan

University of Oklahoma

UNITED STATES

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Andres Santamaría - Artigas

Assistant Research Professor

University of Maryland at College Park

UNITED STATES

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Belen Franch

Tenured professor

Universitat Politècnica de València

SPAIN

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Natacha Kalecinski

Assistant Research Professor

University of Maryland at College Park

UNITED STATES

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Alexander Prishchepov

Københavns Universitet

DENMARK

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Mohammad Abdul Qadir Khan

University of Maryland at College Park

UNITED STATES

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George Hurtt

Professor

University of Maryland

UNITED STATES

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Tatiana Loboda

Professor

University of Maryland

UNITED STATES

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Jose A. Sobrino

Professor

University of Valencia

SPAIN

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Sergii Skakun

Research Interests

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Articles (20)

Accounting for spatial variability with geo-aware random forest: A case study for US major crop mapping

Optical flow of temperature reveals climate change patterns for agriculture and forestry

Two decades of winter wheat expansion and intensification in Russia

A generalized model for mapping sunflower areas using Sentinel-1 SAR data

Characterizing Fire-Induced Forest Structure and Aboveground Biomass Changes in Boreal Forests Using Multitemporal Lidar and Landsat

Learning With Location-Based Fairness: A Statistically-Robust Framework and Acceleration

Crop yield estimation at different growing stages using a synergy of SAR and optical remote sensing data

Detection and mapping of artillery craters with very high spatial resolution satellite imagery and deep learning

Atmospheric Correction Inter-comparison eXercise, ACIX-II Land: An assessment of atmospheric correction processors for Landsat 8 and Sentinel-2 over land

Conservation policies and management in the Ukrainian Emerald Network have maintained reforestation rate despite the war

Sentinel-1 time series data for sunflower (Helianthus annuus) phenology monitoring

Remote sensing evaluation of winter cover crop springtime performance and the impact of delayed termination

Global crop calendars of maize and wheat in the framework of the WorldCereal project

Leveraging the use of labeled benchmark datasets for urban area change mapping and area estimation: a case study of the Washington DC–Baltimore region

High-Resolution Mapping of Winter Cereals in Europe by Time Series Landsat and Sentinel Images for 2016–2020

Aerosol models from the AERONET database: Application to surface reflectance validation

Characterizing land use with night-time imagery: The war in Eastern Ukraine (2012-2016)

Cloud Mask Intercomparison eXercise (CMIX): An evaluation of cloud masking algorithms for Landsat 8 and Sentinel-2

MODIS-Based AVHRR Cloud and Snow Separation Algorithm

Multisensor approach to land use and land cover mapping in Brazilian Amazon

Collaborators (11)

Yiming Zhang

Steven Hancock

Baihong Pan

Andres Santamaría - Artigas

Belen Franch

Natacha Kalecinski

Alexander Prishchepov

Mohammad Abdul Qadir Khan

George Hurtt

Tatiana Loboda

Jose A. Sobrino

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