The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLIII-B4-2021
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B4-2021, 103–109, 2021
https://doi.org/10.5194/isprs-archives-XLIII-B4-2021-103-2021
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B4-2021, 103–109, 2021
https://doi.org/10.5194/isprs-archives-XLIII-B4-2021-103-2021

  30 Jun 2021

30 Jun 2021

THE USE OF AHP WITHIN GIS FOR DESTRUCTED AREAS IN DAMASCUS, SYRIA

M. Khalil1 and J. Satish Kumar2 M. Khalil and J. Satish Kumar
  • 1Department of Geography, Faculty of Arts & Human Sciences, Damascus University, Damascus, Syria
  • 2Department of Civil Engineering, SRM institute Science and Technology, Chennai, India

Keywords: Remote Sensing, Geographic Information System, Analytic Hierarchy Process, Consistency Ratio, Compatibility Index, Random index

Abstract. War This is a word that everyone fears as a result of the violence and devastation it leaves, as there have been many wars around the world that have greatly affected the lives of civilians. Infrastructure, homes, hospitals, and other public facilities have been damaged and partially or largely destroyed. Syria is a country in south-western Asia, located near the Mediterranean Sea, between Lebanon and Turkey. Syria is which suffered from war for more than 10 years and still. This is a study on the city of Damascus, the capital of the Syrian Arab Republic, many of its areas were destroyed by this war. throughout the war, more than 55% of the Syrian population in urban areas and rural areas were affected by the massive aerial bombardment and fighting inside towns, cities, and old neighbourhoods. This study aims to identify the most affected areas in the Syrian capital, Damascus, by analysing two satellite images from the satellite Sentinel using a program SNAP and determining the most appropriate areas for reconstruction in Damascus through the AHP analysis method using a program ArcGIS. Where 6 basic criteria were set to carry out the analysis it's elevation, slope, soil, water network, road network, and land use, land cover. The results were classified into five classes in terms of suitability for reconstruction, not suitability, low suitability, moderate suitability, high suitability, very high suitability, and to determine the percentage of each classification.