Monitoring urban growth and detection of land use with GIS and remote sensing: a case study of the Kyrenia region

2016 ◽  
Author(s):  
Can Kara ◽  
Nuhcan Akçit
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Urban Growth ◽  
Gis And Remote Sensing

scholarly journals Predicting land use change base on GIS and remote sensing

2020 ◽  
Vol 61 (2) ◽  
pp. 106-115 ◽  
Author(s):  
Nga Thu Thi Nguyen ◽  
Hanh Thi Tong ◽  
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Landsat Images ◽  
Rapid Urbanization ◽  
Gis And Remote Sensing ◽  
The Neural Network ◽  
Rapid Changes ◽  
Urban Planning And Development ◽  
Land Use Development

The process of urbanization in Vietnam is developing rapidly, corresponding to the rapid changes in land use. Forecasting land use development assists policymakers in making accurate decisions in urban planning and development. The objective of this paper is to forecast and analyze land use development trends based on Landsat images in 2006, 2010, and 2016 with the help of remote sensing and GIS, a case study at Gio Linh district, Quang Tri province. The analysis results show that the rapid urbanization in Gio Linh district has led to a rapid decrease in the forest area from 28.14% compared to the total area, in 2016 to 13.5%, in 2026 to 2.67% and 2036 to 0.33%. The forecast processing was done on the neural network built-in module in the Selva version of IDRISI. The accuracy achieved is 80.5%.

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