Remote sensing (RS) can be defined as the process of acquiring information about the earth ‎surface without being in physical contact with it as shown in the Figure below. The remote nature ‎of the adopted technologies allow us to make observations, take measurements, and produce ‎images of phenomena that are beyond the limits of our own senses and capabilities. For ‎such purposes, airborne as well as spaceborne sensors are used to provide repeatable and ‎continuous observations of processes needed to understand the earth system. ‎

Remote sensing diagram

Thanks to its capability to provide such kind of information on the earth surface, the RS ‎technology has given rise to constantly growing interest from public and private institutions ‎around the world in the last decades. This interest is due to its capability of providing ‎synoptic and periodical information concerning the land covers present in a specific ‎geographical area at local, regional, and global scales. Such a capability allows the ‎application of RS data in a wide range of applications in which end-users require reliable ‎and accurate information about land-covers and their changes over time (e.g., urban ‎planning, natural resource monitoring, agricultural surveys, desertification, and natural ‎hazard management). ‎

Sample research projects for the lab include:


·       Palm and olive trees monitoring (tree counting, crop production forecasting, and stress detection).

·       Generation of high precision 3-D models  of urban areas

·       Traffic monitoring and car counting in urban areas 

·       Pollution estimation in urban areas

·       Desertification assessment in Saudi Arabia at small and large scales

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