Rizos-Theodoros Chadoulis

1. Introduction Aquatic vegetation holds immense significance within ecosystems, as it not only supports the food chain but also serves as the primary indicator of ecosystem quality [1]. Detailed information on the distribution, composition, and abundance of aquatic vegetation is widely utilized to assess the environmental quality of aquatic systems, thereby playing a crucial role in maintaining the proper functioning of lakes.

Abstract : Wildfire detection and mapping is crucial for managing natural resources and preventing further environmental damage. In this study, we compared two methods of mapping burn scars using Sentinel-2 satellite imagery, a pixel-based approach and an object-based approach, at test sites located in various climatic zones with diverse land cover synthesis. The study aimed to determine the advantages and limitations of each method in terms of accuracy and precision in detecting burn scars.

Abstract : The frequency and severity of large, destructive fires have increased in the recent past, with extended impacts on the landscape, the human population, and ecosystems. Earth observations provide a means for the frequent, wide coverage and accurate monitoring of fire impacts. This study describes an unsupervised approach for the mapping of burned areas from Sentinel-2 satellite imagery, which is based on multispectral thresholding, and introduces an adaptive thresholding method.