Natural and anthropogenic disasters can cause significant damage to urban infrastructure, landscape, loss of human life. Satellite based remote sensing plays a key role in rapid assessment, post-disaster reconnaissance recovery. In this study, we aim assess the performance Sentinel-1 Sentinel-2 data for building assessment Kyiv, capital city Ukraine, due ongoing war with Russia. For employ simp...

The impact of floods on forests is immediate, so it necessary to quickly define the boundaries flooded areas. Determining extent flooding in situ has shortcomings due possible limited spatial and temporal resolutions data cost collection. Therefore, this research focused flood mapping using geospatial remote sensing. area located central part Republic Croatia, an environmentally diverse lowland...

Regions around the world experience adverse climate-change-induced conditions that pose severe risks to normal and sustainable operations of modern societies. Extreme weather events, such as floods, rising sea levels, storms, stand characteristic examples impair core services global ecosystem. Especially floods have a impact on human activities, hence, early accurate delineation disaster is top...

The systematic monitoring of glaciers is essential to both evaluate water resources availability and better understand the effects climate change. increased speed glacier changes observed in last years requires a more frequent update inventories than past; however, high human supervision required by state-of-the-art techniques discouraging their application over large areas. This paper proposes...

Satellite crop detection technologies are focused on the of different types crops in fields. The information crop-type area is more useful for food security than earlier phenology stage is. Currently, data obtained from remote sensing (RS) used to solve tasks related identification type agricultural crops; additionally, modern using AI methods desired postprocessing stage. In this paper, we dev...

The quantity of land covered by various crops in a specific time span, referred to as cropping pattern, dictates the level agricultural production. However, retrieval this information at landscape scale can be challenging, especially when high spatial resolution imagery is not available. This study hypothesized that utilizing unique advantages multi-date and medium freely available Sentinel-2 (...