Sergii Skakun

Sergii Skakun

University of Maryland

H-index: 48

North America-United States

About Sergii Skakun

Sergii Skakun, With an exceptional h-index of 48 and a recent h-index of 32 (since 2020), a distinguished researcher at University of Maryland, specializes in the field of Remote sensing, Earth observation, land cover land use, satellite image processing, machine learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

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

When are Foundation Models Effective? Understanding the Suitability for Pixel-Level Classification Using Multispectral Imagery

Optical Flow of Temperature Reveals Climate Change Patterns for Agriculture and Forestry

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

Two decades of winter wheat expansion and intensification in Russia

Satellite Data Shows Resilience of Tigrayan Farmers in Crop Cultivation During Civil War

The 50-year Landsat collection 2 archive

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

Sergii Skakun Information

University

Position

___

Citations(all)

8843

Citations(since 2020)

6078

Cited By

5082

hIndex(all)

48

hIndex(since 2020)

32

i10Index(all)

105

i10Index(since 2020)

73

Email

University Profile Page

Google Scholar

Sergii Skakun Skills & Research Interests

Remote sensing

Earth observation

land cover land use

satellite image processing

machine learning

Top articles of Sergii Skakun

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

Remote Sensing of Environment

2024/5/15

When are Foundation Models Effective? Understanding the Suitability for Pixel-Level Classification Using Multispectral Imagery

arXiv preprint arXiv:2404.11797

2024/4/17

Optical Flow of Temperature Reveals Climate Change Patterns for Agriculture and Forestry

Remote Sensing Applications: Society and Environment

2024/4/14

Sergii Skakun
Sergii Skakun

H-Index: 29

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

IEEE Transactions on Knowledge and Data Engineering

2024/3/6

Two decades of winter wheat expansion and intensification in Russia

Remote Sensing Applications: Society and Environment

2024/1/1

Sergii Skakun
Sergii Skakun

H-Index: 29

Inbal Becker-Reshef
Inbal Becker-Reshef

H-Index: 24

Satellite Data Shows Resilience of Tigrayan Farmers in Crop Cultivation During Civil War

arXiv preprint arXiv:2312.10819

2023/12/17

The 50-year Landsat collection 2 archive

Science of Remote Sensing

2023/12/1

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

Communications Earth & Environment

2023/11/28

Sergii Skakun
Sergii Skakun

H-Index: 29

George Hurtt
George Hurtt

H-Index: 52

Fusion of very high and moderate spatial resolution satellite data for detection and mapping of damages in agricultural fields

2023/10/13

Sergii Skakun
Sergii Skakun

H-Index: 29

Inbal Becker-Reshef
Inbal Becker-Reshef

H-Index: 24

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

Remote Sensing of Environment

2023/9/1

Climate-Analog Velocity Estimation using Optical Flow Approach

2023/7/16

Sergii Skakun
Sergii Skakun

H-Index: 29

Rapid Response Crop Planting Detection over Ukraine using Synthetic Aperture Radar

2023/7/16

Point-to-region co-learning for poverty mapping at high resolution using satellite imagery

Proceedings of the AAAI Conference on Artificial Intelligence

2023/6/26

Auto-CM: Unsupervised deep learning for satellite imagery composition and cloud masking using spatio-temporal dynamics

Proceedings of the AAAI Conference on Artificial Intelligence

2023/6/26

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

Science of Remote Sensing

2023/6/1

Sergii Skakun
Sergii Skakun

H-Index: 29

In-season progressive crop type mapping in war affected Ukraine

EGU General Assembly Conference Abstracts

2023/5

A Rapid Assessment Framework to monitor harvest progress in Ukraine

EGU General Assembly Conference Abstracts

2023/5

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

Remote Sensing of Environment

2023/2/1

Decomposing Night-Time Light Associations Based on Land Use Classification

AGU Fall Meeting Abstracts

2022/12

Jaemin Eun
Jaemin Eun

H-Index: 0

Sergii Skakun
Sergii Skakun

H-Index: 29

Unexploded Ordnance Mapping Across the Ukrainian Front-Lines using Commercial VHR Optical Satellite Imagery and Semantic Segmentation Convolutional Neural Networks

AGU Fall Meeting Abstracts

2022/12

Sergii Skakun
Sergii Skakun

H-Index: 29

See List of Professors in Sergii Skakun University(University of Maryland)

Co-Authors

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