Analysis of Land Cover Change Detection Using Satellite Images in Patheingyi Township

被引:3
|
作者
Hnin Phyu Phyu Aung [1 ]
Aung, Shwe Thinzar [1 ]
机构
[1] Univ Technol Yatanarpon Cyber City, Dept Informat Sci, Pyin Oo Lwin, Myanmar
来源
BIG DATA ANALYSIS AND DEEP LEARNING APPLICATIONS | 2019年 / 744卷
关键词
Random Forest; Patheingyi Township; Google Earth Engine; Remote sensing; ArcGIS; ACCURACY;
D O I
10.1007/978-981-13-0869-7_41
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Patheingyi Township is located in the eastern part of Mandalay, Myanmar. Patheingyi Township is an area that experienced a fast increase of urban population in the recent decades in Mandalay region. Rapid urbanization has significant effect on resources and urban environment. The remote sensing technique using satellite imagery has been recognized as an effective and powerful tool in monitoring and detecting land use and land cover changes. The aim of the system is to quantify changes in urban area of Patheingyi Township using satellite images. In this study, Landsat 7 and Landsat 8 images are used to study land cover change in study area. Land cover maps of 2000, 2005, 2010 and 2015 are produced using one of the supervised classification techniques. In this system, Random Forest Classifier model is used to detect the growth of urban area. The system is classified three major land cover classes: built-up, water and other. And then, ArcGIS tool is used to classify built-up area into five classes: urban built-up, suburban built-up, rural built-up, urbanized open land and rural open land. A total of 295 ground check points are used to calculate the accuracy assessment. According to the tested results, built-up area was increased by 285 ha from 2010 to 2015 in Patheingyi Township.
引用
收藏
页码:364 / 373
页数:10
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