On December 19-21, 2025, the Department of MMDA ER IPT, together with the University of Maryland, organized the section “Earth Intelligence for Safe and Resilient Recovery of Ukraine” at the international scientific conference DESSERT 2025. The section chair was Prof. Andrii Shelestov.
Our work focused on the analysis of changes in territories and infrastructure conditions based on satellite data; assessment and monitoring of risks to security and the environment; use of Earth Intelligence in decision-making support systems; use of satellite data and modern analysis methods to solve applied problems in the field of security and post-war recovery of Ukraine.
Young graduate students of the Department of MMDA, in particular Sofiia Drozd, Salii Yevhenii, Bukhanevych Rodion, actively participated in the conference and our section. The list of conference presentations is given below:
- Geospatial Multi-Criteria AI-Driven Analysis of Rural Development in Ukraine during the War (Sofiia Drozd, Nataliia Kussul, Andrii Shelestov)
- Assessing the Potential of Sentinel-2 Embeddings for Improved Land Use Mapping: A Case Study in Saxony-Anhalt (Sofiia Drozd, Nataliia Kussul)
- Formalized model of critical information in corporate networks (Andrii Kolotii, Andrii Shelestov)
- A Cloud-Based Workflow for Crop Type Classification Using Copernicus Sentinel-1/2 Data and Ensembles of Multi-Layer Perceptron (Bohdan Yailymov, Hanna Yailymova, Andrii Shelestov, Nataliia Kussul)
- Information technology for land cover ecological state assessment of southern Ukraine based on satellite data and cloud computing (Bohdan Yailymov, Liudmyla Pidgorodetska, Liudmyla Kolos, Oleh Fedorov, Hanna Yailymova)
- Semantic segmentation under Limited availability of Labeled Data (Rodion Bukhanevych, Andrii Shelestov)
- Ensemble Machine Learning Methods for Soil Moisture Data Downscaling (Bohdan Yailymov, Hanna Yailymova)
- Cross-Modal Field Delineation: Evaluating RGB, Time-Series, and Radar Inputs with Delineate Anything Flow (Yevhenii Salii, Mykola Lavreniuk, Volodymyr Kuzin, Bohdan Yailymov, Nataliia Kussul, Andrii Shelestov, Zoltan Szantoi)
Yevhenii Salii’s presentation “Cross-Modal Field Delineation: Evaluating RGB, Time-Series, and Radar Inputs with Delineate Anything Flow” was awarded the Best Paper for presentation by MSc and PhD Students, which is a confirmation of the high scientific level of the research and the competitiveness of the results at the international level.
Congratulations to the team and thank you to all participants!