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Optimizing GLCNMO version 2 method to detect Vietnam's urban expansion

Tuan Dung Pham and Duc Chuc Man and Thi Nhat Thanh Nguyen and Quang Hung Bui and Minh Chung Doan (2016) Optimizing GLCNMO version 2 method to detect Vietnam's urban expansion. In: The 8th International Conference on Knowledge and Systems Engineering (KSE), 6-8 October 2016, Hanoi, Vietnam.

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No global scale land cover classification method performs with high accuracy at local scale. This study tries to develop a classification algorithm for urban area in Vietnam. This is the first assessment of the Global Land Cover by National Mapping Organizations (GLCNMO) version 2 method for producing global urban map in 2008. An improved and optimized algorithm is then developed based on the GLCNMO method for Vietnam taking into account of local natural and social conditions. Improving method is then applied to produce urban maps of Vietnam for the years of 2008 and 2015. Accuracy assessment showed that the improved method can achieve up to 13% higher precision and 10% higher F1 measure as compared to the global GNCNMO method. Also, an increasing trend was observed in population density in urban area in the period from 2008 to 2015 in Vietnam which may correspond to fast urbanization process in the country. The cities also tend to become less green in 2015 than 2008 as indicated by comparing the Normalized Difference Vegetation Index (NDVI) between the two years.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:Remote sensing;Satellites;Sociology;Spatial resolution;Statistics;Urban areas;Vegetation mapping;GLCNMO version2;Vietnam's urban map;optimizing;urban expansion;urbanization
Subjects:Information Technology (IT)
Divisions:Center of Multidisciplinary Integrated Technologies for Field Monitoring (FIMO)
ID Code:2103
Deposited By: Dr Thi Nhat Thanh Nguyen
Deposited On:05 Dec 2016 04:13
Last Modified:05 Dec 2016 04:13

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