TY  - CONF
ID  - SisLab2777
UR  - https://eprints.uet.vnu.edu.vn/eprints/id/eprint/2777/
A1  - Pham, Tuan Dung
A1  - Man, Duc Chuc
A1  - Nguyen, Thi Nhat Thanh
A1  - Bui, Quang Hung
A1  - Doan, Minh Chung
Y1  - 2016/12//
N2  - 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.
KW  - Remote sensing;Satellites;Sociology;Spatial resolution;Statistics;Urban areas;Vegetation mapping;GLCNMO version2;Vietnam's urban map;optimizing;urban expansion;urbanization
TI  - Optimizing GLCNMO version 2 method to detect Vietnam's urban expansion
SP  - 309
M2  - Hanoi, Vietnam
AV  - none
EP  - 314
T2  - The 8th International Conference on Knowledge and Systems Engineering (KSE)
ER  -