Urban growth mapping from Landsat data using linear mixture model in Ho Chi Minh City, Vietnam

Nguyen-Thanh Son; Chi-Farn Chen; Li-Yu Chang; Cheng-Ru Chen; Bui-Xuan Thanh

doi:10.1117/1.JRS.6.063543

21 June 2012 Urban growth mapping from Landsat data using linear mixture model in Ho Chi Minh City, Vietnam

Nguyen-Thanh Son, Chi-Farn Chen, Li-Yu Chang, Cheng-Ru Chen, Bui-Xuan Thanh

Author Affiliations +

Journal of Applied Remote Sensing, Vol. 6, Issue 1, 063543 (June 2012). https://doi.org/10.1117/1.JRS.6.063543

Abstract

Rapid urbanization in Ho Chi Minh City (HCMC), Vietnam, is creating societal impacts on the environment attributed to the increasing population. Understanding spatio-temporal dimensions of land-use changes that shape the urbanization is thus critical to the process of urban planning. We explore the urban growth in HCMC through Landsat images for 1990, 2002, and 2010 using the linear mixture model (LMM). The data are processed through four steps: (1) data pre-processing, (2) image classification by LMM using endmembers extracted from the original image using minimum noise fraction, (3) accuracy assessment of the classification results using field verification data, and (4) urban growth analysis to understand the spatial changes of land cover. The results achieved by comparisons between the classification results and ground reference data indicate that the overall accuracy and Kappa coefficient obtained for 1990 were 87.1% and 0.83, respectively, while those for 2002 were 92.5% and 0.89, and those for 2010 were 89.6% and 0.86. The results of urban growth analysis indicate that high albedo class (i.e., built-up areas) expanded from 12.3% in 1990 to 27.2% in 2002 and to 31.1% in 2010. When investigating land-cover conversions to high albedo class from 1990 to 2002, the largest conversion is observed for soil class (9.2%), followed by vegetation class (7.2%), and low albedo class (2.2%). From 2002 to 2010, 4.5% area of soil class was converted to high albedo class, while conversions from vegetation and low albedo classes were 3.5% and 2.5%, respectively.

Citation Download Citation

Nguyen-Thanh Son, Chi-Farn Chen, Li-Yu Chang, Cheng-Ru Chen, and Bui-Xuan Thanh "Urban growth mapping from Landsat data using linear mixture model in Ho Chi Minh City, Vietnam," Journal of Applied Remote Sensing 6(1), 063543 (21 June 2012). https://doi.org/10.1117/1.JRS.6.063543

Published: 21 June 2012

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available