eprintid: 2777
rev_number: 4
eprint_status: archive
userid: 297
dir: disk0/00/00/27/77
datestamp: 2017-12-14 03:34:58
lastmod: 2017-12-14 03:34:58
status_changed: 2017-12-14 03:34:58
type: conference_item
succeeds: 2103
metadata_visibility: show
creators_name: Pham, Tuan Dung
creators_name: Man, Duc Chuc
creators_name: Nguyen, Thi Nhat Thanh
creators_name: Bui, Quang Hung
creators_name: Doan, Minh Chung
creators_id: dungpt@fimo.edu.vn
creators_id: chucmd@fimo.edu.vn
creators_id: thanhntn@vnu.edu.vn
creators_id: hungbq@vnu.edu.vn
title: Optimizing GLCNMO version 2 method to detect Vietnam's urban expansion
ispublished: pub
subjects: IT
divisions: FIMO
divisions: fac_fit
keywords: Remote sensing;Satellites;Sociology;Spatial resolution;Statistics;Urban areas;Vegetation mapping;GLCNMO version2;Vietnam's urban map;optimizing;urban expansion;urbanization
abstract: 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.
date: 2016-12
date_type: published
full_text_status: none
pres_type: paper
pagerange: 309-314
event_title: The 8th International Conference on Knowledge and Systems Engineering (KSE)
event_location: Hanoi, Vietnam
event_dates: 6-8 October 2016
event_type: conference
refereed: TRUE
citation:   Pham, Tuan Dung and Man, Duc Chuc and Nguyen, Thi Nhat Thanh and Bui, Quang Hung and Doan, Minh Chung  (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.