Integration of remotely sensed satellite images with a geographical information system

2019 ◽  
Vol 7 (1) ◽  
pp. 438-460
Author(s):  
Omed Hamabaqi Hama ameen ◽  
Kawa Jabar Rahman

The main goal of this investigation is to indicate the influnce of Topographic and Geomorphogical Unit on expansion of Saidsadiq town from (1965 to 2019 ) , and analyse the influnce of the slope and landform upon the directive expansion of the town , with signifying the factors of expansion the town towards the directions dependens on the map of expension with satellite images which have been recieved from (NASA-G DEM VERSION) on (USGS) site with Digital Elevation Model (DEM) by resolution (30 m) on the reaserch area . finally the investigation concludes a set of conclusions and results including the land form limited and restricted the directions of expansions of the town and The City taken the shape of Star ,expandin most of the towns area on the sediment pedimont due to easiness of building houses and connection services upon it.        


2021 ◽  
Vol 11 (7) ◽  
Author(s):  
Sara Abdollahi ◽  
Meysam Madadi ◽  
Kaveh Ostad-Ali-Askari

AbstractDust is a phenomenon occurring in most parts of the world causing financial loss and adverse environmental effects and impacts. Many parameters are involved in dust phenomenon occurrence, some of which are natural and some of them are due to human processes and their influence on the environment. Monitoring the environmental changes can be worthwhile and efficient procrastination the occurrence of this phenomenon. In this research, we scrutinized the Persian and English database in a structured way using dust keywords, heavy metals, remote sensing, geographical information systems and statistical methods. Articles taking into consideration these three fields were retrieved, analyzed descriptively and reported. In accordance with this methodology, the study was conducted in a period from 1992 to 2016. Findings: Among the methods used, the method of interpolation, zoning of dust and their distribution with GIS is more applicable, and among satellite images, MODIS images are the most applicable ones. The results obtained from this study indicated that statistical methods, remote sensing and geographical information system are among effective tools in studying germane researches done on dust monitoring and detection.


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