Urban expansion and landscape change analysis using remote sensing and survey: A case study in Ha Long bay area, Vietnam
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 offers one of possible keys.
2016 Eighth International Conference on Knowledge and Systems Engineering (KSE)