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

There are no articles in this category. If subcategories display on this page, they may contain articles.

Please publish modules in offcanvas position.