Remote sensing study of wetlands in the Pearl River Delta during 1995---2015 with the support vector machine method

• Published in: Frontiers of earth science 2018-09, Vol.12 (3), p.521-531
• Main Authors: HAN, Xiaosong, PAN, Jiayi, DEVLIN, Adam T.
• Format: Article
• Language: English
• Subjects: Agricultural land; Change detection; Classification; Construction; Detection; Earth and Environmental Science; Earth Sciences; Ecological monitoring; Ecology; Economic development; Economic growth; Inland waters; Intertidal environment; Intertidal zone; Land use; Landsat images; Methods; Pearl River Delta; Remote sensing; Research Article; Rivers; support vector machine method; Support vector machines; Temporal variations; wetland; Wetlands
• ISSN: 2095-0195; 2095-0209
• DOI: 10.1007/s11707-017-0672-x

In recent years, the Pearl River Delta has experienced rapid economic growth which may create a substantial burden to its ecology. In this study, the wetlands of the Pearl River Delta are investigated. Through the use of remote sensing methods, we analyze spatial and temporal variations of wetlands in this area over the past twenty years. The support vector machine (SVM) method is proven to be an effective approach for classifying the wetlands of the Pearl River Delta, and the total classification resolution reaches 94.94% with a Kappa coefficient exceeding 0.94, higher than other comparable analysis methods. Our results show that wetland areas were reduced by 36.9% during the past twenty years. The change detection analysis method shows that there was a 95.58% intertidal zone change to other land-use types, most of which (57.12%) was converted to construction land. In addition, farmland was reduced by 54.89% during the past twenty years, 47.19% of which was changed to construction land use. The inland water area increased 19.02%, but most of this growth (18.77%) was converted from the intertidal zone.