The present work aims at identifying favorable locations for groundwater resources harvesting and extraction along the Wadi Feiran basin, SW Sinai Peninsula, Egypt, in an effort to facilitate new development projects in this area. Landsat ETM+, Radarsat-1 and PALSAR images of Wadi Feiran basin were used in this work to perform multisource data fusion and texture analysis, in order to classify t...

One of the fields in construction industry where 3D printing cementitious composites can play a significant role is associated with manufacturing lightweight structures. Thanks to printing, structural self-weight be reduced by topology optimization printed elements. Moreover, further decrements and improvement thermal insulating properties achieved mixture design introduction materials low cond...

Remote sensing represents a powerful tool to derive quantitative and qualitative information about ecosystem biodiversity. In particular, since plant species richness is a fundamental indicator of biodiversity at the community and regional scales, attempts were made to predict species richness (spatial heterogeneity) by means of spectral heterogeneity. The possibility of using spectral variance...

In this work we propose a solution to the Unmanned Surface Vessels (USV) path-following problem by suggesting an improved model predictive control (MPC) based on global course constraint (GCC) and event-triggered mechanism (ETM). The designed GCC guidance law incorporates LOS concept overcomes its lack of reference signal near waypoint. developed MPC controller involves ETM that ultimately opti...

Measurements of forest structure are important for wildlife habitat management. An optimal strategy for mapping forest structure would include detailed measurements of the vertical dimension, which are traditionally provided by field sampling, together with the broad spatial coverage afforded by remote sensing. While no single sensor is capable of delivering this at the present time, it should ...

The ability to effectively use remotely sensed data for environmental analysis is dependent on understanding the underlying procedures and associated variances attributed to the data processing and image analysis technique. Equally important is understanding the error associated with the reference data used to assess the accuracy of image products. This paper details measurement variance accumu...

Multispectral optical data are sensitive to the physical properties of the ground objects and express their spectral features. While SAR data are more influenced by the geometric properties and express backscatter information. Therefore, this study demonstrates the integration of Landsat ETM-8 and ERS-1 data for improved information, more specific inferences and increased interpretation capabil...