scholarly journals Learning outcomes of remote sensing and geographic information systems (GIS) according to the job titles of the Ministry of Civil Service in the Kingdom of Saudi Arabia: مخرجات تعلم برامج الاستشعار عن بعد ونظم المعلومات الجغرافيا وفقاً للمسميات الوظيفية لوزارة الخدمة المدنية بالمملكة العربية السعودية

Author(s):  
Fakhar Eddin Ahmed Abdalla Mohmed, Jamilah Omar Ibrahim Mada

This study is to determine the learning outcomes programs of remote sensing and geographic information systems, and their role in job opportunity and work markets in Kingdom of Saudi Arabia, globally (Canada), The study illustrated the top five skills which required for success in professional life majoring in geographic information systems and mentioned by Environmental Systems Research Institute (ESRI), USA. The study deal with descriptive, analytical and comparative approaches. The study recommended the top five skills that required succeeding in Remote sensing and GIS" career, which recommended by Environmental Systems Research Institute, as the main scale to determine learning outcomes of remote sensing and geographic information system in Kingdom of Saudi Arabia and Arab world and then to identify the activities, skills and courses (i.e., the number of theoretical and practical hours, teaching methods, and laboratories ...), which are taught in these programs.

Author(s):  
Nikolaos Stathopoulos ◽  
Kleomenis Kalogeropoulos ◽  
Christos Polykretis ◽  
Panagiotis Skrimizeas ◽  
Panagiota Louka ◽  
...  

Author(s):  
Fadi Abdullah alanazi, Yaser Rashed Alzannan, Faten Hamed Na Fadi Abdullah alanazi, Yaser Rashed Alzannan, Faten Hamed Na

Souda is one of the important regions in Saudi Arabia in terms of spatial and temporal changes in vegetation cover; It includes the National Park, which is a leading tourist destination and one of the most beautiful parks in it. by tracking the spatial and temporal changes of vegetation cover by integrating remote sensing and geographic information systems, through the application of the modified soil vegetation index MSAVI during the period (2014- 2018), it became clear the decrease in the quantity and density of vegetation cover in the area. Thus, the study concluded that this indicator is one of the best indicators that can be used to extract vegetation cover from satellite images.


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