Orthorectification of Sich-2 satellite images using elastic models. - Oleksii M. Kravchenko; Mykola Lavrenyuk; Nataliia Kussul (IGARSS, 2014)

Geospatial Intelligence and Data Fusion Techniques for Sustainable Development Problems. - Nataliia Kussul; Andrii Shelestov; Ruslan Basarab; Sergii Skakun; Olga Kussul; Mykola Lavrenyuk (ICTERI, 2015)

Parcel based classification for agricultural mapping and monitoring using multi-temporal satellite image sequences. - Nataliia Kussul; Guido Lemoine; Francisco Javier Gallego; Sergii Skakun; Mykola Lavrenyuk (IGARSS, 2015)

Regional retrospective high resolution land cover for Ukraine: Methodology and results. - Mykola Lavreniuk; Nataliia Kussul; Sergii Skakun; Andrii Shelestov; Bohdan Yailymov (IGARSS, 2015)

Mapping of biophysical parameters based on high resolution EO imagery for JECAM test site in Ukraine. - Andrii Shelestov; Andrii Kolotii; Fernando Camacho; Sergii Skakun; Olga Kussul; Mykola Lavreniuk; Oleksandr Kostetsky (IGARSS, 2015)

Along the season crop classification in Ukraine based on time series of optical and SAR images using ensemble of neural network classifiers. - Nataliia Kussul; Mykola Lavreniuk; Andrii Shelestov; Bohdan Yailymov (IGARSS, 2016)

Deep learning approach for large scale land cover mapping based on remote sensing data fusion. - Nataliia Kussul; Andrii Shelestov; Mykola Lavreniuk; Igor Butko; Sergii Skakun (IGARSS, 2016)

Validation methods for regional retrospective high resolution land cover for Ukraine. - Mykola Lavreniuk; Nataliia Kussul; Andrii Shelestov; Bohdan Yailymov; Tamara Oliinyk; Alexander Kosteckyi (IGARSS, 2016)

Parcel-Based Crop Classification in Ukraine Using Landsat-8 Data and Sentinel-1A Data. - Nataliia Kussul; Guido Lemoine; Francisco Javier Gallego; Sergii Skakun; Mykola Lavreniuk; Andrii Shelestov (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016)

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 Shelestov; Mykola Lavreniuk; Olga Kussul (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016)

Land degradation estimation from global and national satellite based datasets within UN program. - Nataliia Kussul; Andrii Kolotii; Andrii Shelestov; Bohdan Yailymov; Mykola Lavreniuk (IDAACS, 2017)

Speckle reducing for Sentinel-1 SAR data. - Sergey K. Abramov; Oleksii S. Rubel; Vladimir V. Lukin; Ruslan A. Kozhemiakin; Nataliia Kussul; Andrii Shelestov; Mykola Lavreniuk (IGARSS, 2017)

Sentinel-2 for agriculture national demonstration in ukraine: Results and further steps. - Nataliia Kussul; Andrii Kolotii; Andrii Shelestov; Mykola Lavreniuk; Nicolas Bellemans; Sophie Bontemps; Pierre Defourny; Benjamin Koetz (IGARSS, 2017)

Cropland productivity assessment for Ukraine based on time series of optical satellite images. - Nataliia Kussul; Mykola Lavreniuk; Sergii Skakun; Andrii Shelestov (IGARSS, 2017)

Large scale crop classification using Google earth engine platform. - Andrii Shelestov; Mykola Lavreniuk; Nataliia Kussul; Alexei Novikov; Sergii Skakun (IGARSS, 2017)

Deep Learning Classification of Land Cover and Crop Types Using Remote Sensing Data. - Nataliia Kussul; Mykola Lavreniuk; Sergii Skakun; Andrii Shelestov (IEEE Geosci. Remote. Sens. Lett., 2017)

Deep Learning Crop Classification Approach Based on Sparse Coding of Time Series of Satellite Data. - Mykola Lavreniuk; Nataliia Kussul; Alexei Novikov (IGARSS, 2018)

Object-Based Postprocessing Method for Crop Classification MAPS. - Mykola Lavreniuk; Nataliia Kussul; Andrii Shelestov; Olena Dubovyk; Fabian Löw (IGARSS, 2018)

Air Quality Monitoring in Urban Areas Using in-Situ and Satellite Data Within Era-Planet Project. - Andrii Shelestov; Andrii Kolotii; Mykola Lavreniuk; Kyrylo Medyanovskyi; Vladimir Vasiliev; Tatyana Bulanaya; Igor Gomilko (IGARSS, 2018)

Use of Land Cover Maps as Indicators for Achieving Sustainable Development Goals. - Leonid Shumilo; Andrii Kolotii; Mykola Lavreniuk; Bohdan Yailymov (IGARSS, 2018)

Comparison of Global and Continental Land Cover Products for Selected Study Areas in South Central and Eastern European Region. - Ioannis Manakos; Monika Tomaszewska; Ioannis Gkinis; Olga V. Brovkina; Lachezar Filchev; Levent Genc; Ioannis Z. Gitas; Andrej Halabuk; Melis Inalpulat; Anisoara Irimescu; Georgi Jelev; Konstantinos Karantzalos; et al. (Remote. Sens., 2018)

Land Cover and Land Use Monitoring Based on Satellite Data within World Bank Project. - Nataliia Kussul; Andrii Shelestov; Mykola Lavreniuk; Andrii Kolotii; Vladimir Vasiliev (DESSERT, 2019)

Nexus Approach for Calculating SDG Indicator 2.4.1 Using Remote Sensing and Biophysical Modeling. - Nataliia Kussul; Mykola Lavreniuk; Leonid Shumilo; Andrii Kolotii (IGARSS, 2019)

Roadside collection of training data for cropland mapping is viable when environmental and management gradients are surveyed. - François Waldner; Nicolas Bellemans; Zvi Hochman; Terence Newby; Diego de Abelleyra; Santiago R. Verón; Sergey A. Bartalev; Mykola Lavreniuk; Nataliia Kussul; Guerric le Maire; Margareth Simões; Sergii Skakun; et al. (Int. J. Appl. Earth Obs. Geoinformation, 2019)

Crop monitoring technology based on time series of satellite imagery. - Nataliia Kussul; Andrii Shelestov; Bohdan Yailymov; Hanna Yailymova; Mykola Lavreniuk; Leonid Shumilo; Yuliia Bilokonska (DESSERT, 2020)

Losses Assessment for Winter Crops Based on Satellite Data and Fuzzy Logic. - Yuliia Bilokonska; Hanna Yailymova; Bohdan Yailymov; Andrii Shelestov; Leonid Shumilo; Mykola Lavreniuk (IDAACS-SWS, 2020)

Remote Sensing Approaches for Deforestation Identification in Ukraine. - Leonid Shumilo; Bohdan Yailymov; Mykola Lavreniuk; Yuliia Bilokonska (IDAACS-SWS, 2020)

Deep Recurrent Neural Network for Crop Classification Task Based on Sentinel-1 and Sentinel-2 Imagery. - Nataliia Kussul; Mykola Lavreniuk; Leonid Shumilo (IGARSS, 2020)

Satellite Agricultural Monitoring in Ukraine at Country Level: World Bank Project. - Nataliia Kussul; Andrii Shelestov; Hanna Yailymova; Bohdan Yailymov; Mykola Lavreniuk; Matviy Ilyashenko (IGARSS, 2020)

A workflow for Sustainable Development Goals indicators assessment based on high-resolution satellite data. - Nataliia Kussul; Mykola Lavreniuk; Andrii Kolotii; Sergii Skakun; Olena Rakoid; Leonid Shumilo (Int. J. Digit. Earth, 2020)

Developing food, water and energy nexus workflows. - Ian McCallum; Carsten Montzka; Bagher Bayat; Stefan Kollet; Andrii Kolotii; Nataliia Kussul; Mykola Lavreniuk; Anthony Lehmann; Joan Masó; Paolo Mazzetti; Aline Mosnier; Emma Perracchione; et al. (Int. J. Digit. Earth, 2020)

Cloud Approach to Automated Crop Classification Using Sentinel-1 Imagery. - Andrii Shelestov; Mykola Lavreniuk; Vladimir Vasiliev; Leonid Shumilo; Andrii Kolotii; Bohdan Yailymov; Nataliia Kussul; Hanna Yailymova (IEEE Trans. Big Data, 2020)

Automatic Deforestation Detection based on the Deep Learning in Ukraine. - Leonid Shumilo; Mykola Lavreniuk; Nataliia Kussul; Bella Shevchuk (IDAACS, 2021)

Extension of Copernicus Urban Atlas to Non-European Countries. - Andrii Shelestov; Hanna Yailymova; Bohdan Yailymov; Leonid Shumilo; Mykola Lavreniuk (IGARSS, 2021)

U-Net Model for Logging Detection Based on the Sentinel-1 and Sentinel-2 Data. - Leonid Shumilo; Nataliia Kussul; Mykola Lavreniuk (IGARSS, 2021)

Super Resolution Approach for the Satellite Data Based on the Generative Adversarial Networks. - Mykola Lavreniuk; Nataliia Kussul; Andrii Shelestov; Alla Lavrenyuk; Leonid Shumilo (IGARSS, 2022)

Generative Adversarial Networks for the Satellite Data Super Resolution Based on the Transformers with Attention. - Mykola Lavreniuk; Leonid Shumilo; Alla Lavreniuk (IGARSS, 2023)

The Third Monocular Depth Estimation Challenge. - Jaime Spencer; Fabio Tosi; Matteo Poggi; Ripudaman Singh Arora; Chris Russell 001; Simon Hadfield; Richard Bowden; GuangYuan Zhou; ZhengXin Li; Qiang Rao; YiPing Bao; Xiao Liu 004; et al. (CVPR Workshops, 2024)

EVP: Enhanced Visual Perception Using Inverse Multi-attentive Feature Refinement and Regularized Image-Text Alignment. - Mykola Lavreniuk; Shariq Farooq Bhat; Matthias Müller 011; Peter Wonka (ECCV Workshops (1), 2024)

TRICKY 2024 Challenge on Monocular Depth from Images of Specular and Transparent Surfaces. - Pierluigi Zama Ramirez; Alex Costanzino; Fabio Tosi; Matteo Poggi; Luigi Di Stefano; Jean-Baptiste Weibel; Dominik Bauer; Doris Antensteiner; Markus Vincze; Jiaqi Li 007; Yachuan Huang; Junrui Zhang 003; et al. (ECCV Workshops (1), 2024)

SPIdepth: Strengthened Pose Information for Self-supervised Monocular Depth Estimation. - Mykola Lavreniuk (CoRR, 2024)

The Third Monocular Depth Estimation Challenge. - Jaime Spencer; Fabio Tosi; Matteo Poggi; Ripudaman Singh Arora; Chris Russell 001; Simon Hadfield; Richard Bowden; GuangYuan Zhou; ZhengXin Li; Qiang Rao; YiPing Bao; Xiao Liu 004; et al. (CoRR, 2024)

Amodal Depth Anything: Amodal Depth Estimation in the Wild. - Zhenyu Li 007; Mykola Lavreniuk; Jian Shi; Shariq Farooq Bhat; Peter Wonka (CoRR, 2024)

SPIdepth: Strengthened Pose Information for Self-supervised Monocular Depth Estimation. - Mykola Lavreniuk; Alla Lavreniuk (CVPR Workshops, 2025)

The Fourth Monocular Depth Estimation Challenge. - Anton Obukhov; Matteo Poggi; Fabio Tosi; Ripudaman Singh Arora; Jaime Spencer; Chris Russell 001; Simon Hadfield; Richard Bowden; Shuaihang Wang; Zhenxin Ma; Weijie Chen 006; Baobei Xu; et al. (CVPR Workshops, 2025)

NTIRE 2025 Challenge on HR Depth from Images of Specular and Transparent Surfaces. - Pierluigi Zama Ramirez; Fabio Tosi; Luigi Di Stefano; Radu Timofte; Alex Costanzino; Matteo Poggi; Samuele Salti; Stefano Mattoccia; Zhe Zhang; Yang Yang 009; Wu Chen; Anlong Ming; et al. (CVPR Workshops, 2025)

Delineate Anything: Resolution-Agnostic Field Boundary Delineation on Satellite Imagery. - Mykola Lavreniuk; Nataliia Kussul; Andrii Shelestov; Bohdan Yailymov; Yevhenii Salii; Volodymyr Kuzin; Zoltan Szantoi (CoRR, 2025)