Urban Expansion and Landscape Change Analysis Using Remote Sensing and Survey

被引:0
作者
Van Truong Tran [1 ,2 ]
Van Cu Pham [2 ]
Laffly, Dominique [1 ]
机构
[1] Univ Toulouse, CNRS, GEODE, Toulouse, France
[2] Vietnam Natl Univ, Hanoi, Vietnam
来源
2016 EIGHTH INTERNATIONAL CONFERENCE ON KNOWLEDGE AND SYSTEMS ENGINEERING (KSE) | 2016年
关键词
landscape change; urbanization; correspondence analysis; Ha Long; Vietnam; LAND-COVER;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This study deals with land use land cover change and its driving forces in the Ha Long bay area, Vietnam. Land use land cover transitions were detected by analyzing a series of Landsat satellite images from 1973 to 2013. A survey (600 individuals) in the 3 districts about the socio-spatial practices and their evolution from recent past show a strong impact caused by industrialization and urbanization. These consequences are strongly linked by the geography and we try to link them to the landscape changes using multivariate analysis. We propose a methodological solution founded on Multiple Correspondence Analysis who help to find a way in the difficult link between what we can measure from above (RS) and what people are doing on the field in the real life (survey) that given landscape. Because if it's very easy to explain that landscape is the result of these interactions it's inversely proportionally more difficult to demonstrate. Hope our proposal oilers one of possible keys
引用
收藏
页码:315 / 320
页数:6
相关论文
共 26 条
[1]  
Anderson J.R., 1976, LAND UES LAND COVER, V964
[2]   Why landscapes of the past are important for the future [J].
Antrop, M .
LANDSCAPE AND URBAN PLANNING, 2005, 70 (1-2) :21-34
[3]  
BurnSilver S., 2003, PEOPLE ENV, P173
[4]  
Cam Pha Municipal Bureau of Statistics, 2012, SEV SOC IND CAM PHA
[5]  
Chen DM, 2002, PHOTOGRAMM ENG REM S, V68, P1155
[6]  
Crews K., 2009, SAGE Handbook of remote sensing, P437
[7]  
Ha Long Municipal Bureau of Statistics, 2012, SEV SOC IND HA LONG
[8]  
Ha T.V., 2011, J SOIL SCI ENV MANAG, V2, P88
[9]  
Hall O., 2010, The Open Remote Sensing Journal, V3, P1, DOI DOI 10.2174/1875413901003010001
[10]  
Hietel E, 2005, J ENVIRON MANAGE, V75, P133, DOI 10.1016/j.jenvman.2004.11.022