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Multi-scaled identification of landscape character types and areas in Lushan National Park and its fringes, China
Highlights Characterisation contributes to an overall identification of China’s national parks. A refined combination of the parametric and the holistic methods was proposed. Multi-scaled identifications establish a nested framework for landscape protection. Image segmentation technique as an auxiliary tool helps to improve identification.
Abstract China’s national parks adopt a resource-oriented protection and planning approach that cannot restrain the continuous landscape fragmentation and deterioration, whereas, we propose to characterise the landscape in order to protect its integrity. This paper described a hierarchical identification of landscape character types and areas in Lushan National Park and its fringes according to a refined combination of the parametric and the holistic methods in a multiscalar approach. In terms of the functional hierarchy of landscape character, we decided to order the available data sources in ‘downscaling’. At the broad scale, landscape typologies were delimited by raster datasets of four natural attributes: land cover, soil, vegetation, and altitude. At the intermediate scale, landscape typologies were determined by raster datasets of six natural and cultural attributes: aspect, slope, relief amplitude, heritage density, geology and land use. At these two scales, we adopted the principal component analysis (PCA) and two-step cluster analysis in SPSS software to visualise landscape types, to modify and integrate the results obtained in the eCognition software, as well as to rectify the visualisation with manual identifications. At the detailed scale, landscape typologies were demarcated by two raster and one vector datasets of cultural attributes: building density, visual influence and time depth. We performed the visualisation and integration with a similar method except for the PCA step. This multi-scaled identification will provide a nested framework facilitating the integration of the broad Lushan region in both spatial and administrative dimensions.
Multi-scaled identification of landscape character types and areas in Lushan National Park and its fringes, China
Highlights Characterisation contributes to an overall identification of China’s national parks. A refined combination of the parametric and the holistic methods was proposed. Multi-scaled identifications establish a nested framework for landscape protection. Image segmentation technique as an auxiliary tool helps to improve identification.
Abstract China’s national parks adopt a resource-oriented protection and planning approach that cannot restrain the continuous landscape fragmentation and deterioration, whereas, we propose to characterise the landscape in order to protect its integrity. This paper described a hierarchical identification of landscape character types and areas in Lushan National Park and its fringes according to a refined combination of the parametric and the holistic methods in a multiscalar approach. In terms of the functional hierarchy of landscape character, we decided to order the available data sources in ‘downscaling’. At the broad scale, landscape typologies were delimited by raster datasets of four natural attributes: land cover, soil, vegetation, and altitude. At the intermediate scale, landscape typologies were determined by raster datasets of six natural and cultural attributes: aspect, slope, relief amplitude, heritage density, geology and land use. At these two scales, we adopted the principal component analysis (PCA) and two-step cluster analysis in SPSS software to visualise landscape types, to modify and integrate the results obtained in the eCognition software, as well as to rectify the visualisation with manual identifications. At the detailed scale, landscape typologies were demarcated by two raster and one vector datasets of cultural attributes: building density, visual influence and time depth. We performed the visualisation and integration with a similar method except for the PCA step. This multi-scaled identification will provide a nested framework facilitating the integration of the broad Lushan region in both spatial and administrative dimensions.
Multi-scaled identification of landscape character types and areas in Lushan National Park and its fringes, China
Yang, Diechuan (author) / Gao, Chi (author) / Li, Luyuan (author) / Van Eetvelde, Veerle (author)
2020-05-04
Article (Journal)
Electronic Resource
English
Evaluation of Prioritized Natural Landscape Conservation Areas for National Park Planning in China
| DOAJ | 2020