Improved water resources management for smart farming: a case study for Cyprus.

Water-scarce areas are threatened by climate crisis and, thus, there is an urgent need for optimizing water resources management. Remote sensing has been widely used for calculating the evapotranspiration over large areas, which is an essential variable for calculating the actual irrigation needs of crops. The main objective of this work is to design an approach to optimize the irrigation needs for specific crops.

Concrete with a High Content of End-of-Life Tire Materials for Flexural Strengthening of Reinforced Concrete Structures.

This research investigates the performance of Steel Fiber Reinforced Rubberized Concrete (SFRRC) that incorporates high volumes of End-of-life tire materials, (i.e., both rubber particles and recycled tire steel fibers) in strengthening existing reinforced concrete (RC) beams.

Potential of Virtual Earth Observation Constellations in Archaeological Research.

Earth observation sensors continually provide datasets with different spectral and spatial characteristics, while a series of pre- and postprocessing techniques are needed for calibration purposes. Nowadays, a variety of satellite images have become accessible to researchers, while big data cloud platforms allow them to deal with an extensive number of datasets. However, there is still difficulty related to these sensors meeting specific needs and challenges such as those of cultural heritage and supporting archaeological research world-wide.

Assessment of temporal variations of water quality in inland water bodies using atmospheric corrected satellite remotely sensed image data.

Although there have been many studies conducted on the use of satellite remote sensing for water quality monitoring and assessment in inland water bodies, relatively few studies have considered the problem of atmospheric intervention of the satellite signal. The problem is especially significant when using time series multi-spectral satellite data to monitor water quality surveillance in inland waters such as reservoirs, lakes, and dams because atmospheric effects constitute the majority of the at-satellite reflectance over water. For the assessment of temporal variations of water quality, the use of multi-date satellite images is required so atmospheric corrected image data must be determined.