Browse

This paper presents an extended multi-sensor geoinformation framework for monitoring forest ecosystems in Ukraine under conditions restricted field access. Building upon previously validated hexagonal GIS and NDVI-based remote sensing methodology applied to Zhytomyr Oblast (2021–2024), the current study incorporates an expanded Sentinel-2 time series through 2025 and introduces a theoretical framework for integrating Sentinel-1 Synthetic Aperture Radar (SAR) data to overcome the critical limitation of optical cl...

This study presents a hexagonal-based geoinformation approach for monitoring forest ecosystems and detecting anomalous changes in Ukraine, where forest resources are under severe anthropogenic and military pressure. Using Sentinel-2 satellite imagery, vegetation indices were processed to classify vegetation dynamics and identify areas of significant degradation. A hexagonal spatial partitioning method was applied to improve spatial accuracy, reduce edge effects, and support the quantitative assessment of forest co...

The article presents limnological ecosystems environmental status assessment outcomes on the example of the investigated lakes of Ukraine, through the development and implementation of current information technologies. Approaches to the theoretical substantiation and experimental study of establishing the real spatial resolution of the Earth Remote Sensing (ERS) methods in the visible optical spectrum for limnological systems are proposed. The research is based on the use of information potential and the introduct...