Geographical techniques have become an applied and vital field for solving the rising problems, especially those related to the management of natural, economic and urban resources. Most of the scientific researches in the geographical framework have proven that geographical technologies and their software's contribute mainly in solving such problems as well as managing and analyzing those resources for the aim of improving decision-making and processing to address many problems related to the development, the resource recruitment and maintenance, and the management of the society and environment to reach more accurate and positive "computer-aided decision making and support" by building databases, scientific models, applied studies, and mathematical- analytical models. Artificial intelligence (AI) has received great attention in recent years within many academic circles, especially within the geographical field and its connection with GIS and remote sensing. On this basis, the integration of Geography and Artificial Intelligence (Geo AI), provides many and new methodological approaches to address and solve a variety of many geographical problems. Those approaches were created depending on the establishment of advanced programming modeling to monitor and predict the geographical reality. This current paper attempts to shed light on the concept and development of artificial intelligence within the geographical field, as well as presents some applied aspects of the artificial intelligence within both GIS and remote sensing systems, focusing on two intelligent approaches. One is the "Cellular Automata (CA)" within a GIS environment, and the other is the "Artificial Neural Networks (ANN)" within a Remote Sensing environment.
Abdou, . A., & Shoukry, N. (2022). Geographical Artificial Intelligence Methods in Geographic Information Systems and Remote Sensing: Between Theory and Application. Arab International Journal for Information Technology & Data, 2(2), 93-118. doi: 10.21608/aijtid.2022.118814.1010
MLA
ِAshraf Aly Abdou; Nermin Shoukry. "Geographical Artificial Intelligence Methods in Geographic Information Systems and Remote Sensing: Between Theory and Application", Arab International Journal for Information Technology & Data, 2, 2, 2022, 93-118. doi: 10.21608/aijtid.2022.118814.1010
HARVARD
Abdou, . A., Shoukry, N. (2022). 'Geographical Artificial Intelligence Methods in Geographic Information Systems and Remote Sensing: Between Theory and Application', Arab International Journal for Information Technology & Data, 2(2), pp. 93-118. doi: 10.21608/aijtid.2022.118814.1010
VANCOUVER
Abdou, . A., Shoukry, N. Geographical Artificial Intelligence Methods in Geographic Information Systems and Remote Sensing: Between Theory and Application. Arab International Journal for Information Technology & Data, 2022; 2(2): 93-118. doi: 10.21608/aijtid.2022.118814.1010
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