Correlating seasonal averaged in situ monitoring of fine PM with satellite remote sensing data using geographic information system (GIS)

2004 ◽  
Author(s):  
Alan C. Rush ◽  
Joseph J. Dougherty ◽  
Jill A. Engel-Cox
Keyword(s):  
Remote Sensing ◽  
Information System ◽  
Geographic Information System ◽  
Satellite Remote Sensing ◽  
Remote Sensing Data ◽  
Geographic Information ◽  
In Situ Monitoring ◽  
Sensing Data

scholarly journals Designation of Flood Risk Zones Using the Geographic Information System Technique and Remote Sensing Data in Wasit, Iraq

2021 ◽  
Vol 15 (3) ◽  
pp. 129-140
Author(s):  
Kouther Hasheem Rasn ◽  
Qutaiba Abdulwahhab Nsaif ◽  
Mudhar A. Al-Obaidi ◽  
Yakubu Mandafiya John
Keyword(s):  
Remote Sensing ◽  
Information System ◽  
Geographic Information System ◽  
Flood Risk ◽  
Flood Hazard ◽  
Remote Sensing Data ◽  
Geographic Information ◽  
Risk Area ◽  
Sensing Data ◽  
Very High

Floods are a great concern for people and infrastructure, and this is an issue which has increased in several regions around the globe in recent years. This study aims to evaluate flood risk areas and create a flood risk map using integrated remote sensing data and a geographic information system (GIS) in the Wasit governorate – eastern Iraq. Specifically, GIS‑based multi‑criteria analysis (MCA) was used to map flood hazard areas using a four‑criteria layer which is as follows: flow accumulation, slope, rainfall, and elevation. These four layers are standardized and combined using the overlay approach in ArcGIS software and a final map was produced. The study area was divided into five zones based on the results map, namely: very low, low, medium, high, and very high, according to the flood risk area. The resulting map indicates that over 60% of the study area is likely to experience a high and very high level of propensity of flooding. This study could be useful for government planners and decision‑makers to predict potential flooding areas and enhance flood management plans.

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