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The image sequences from a person walking through a natural park, which is a protected area that includes natural, semi-natural, and humanized landscapes that are of natural interest, representing the integration of human activity with nature, and multiple quantitative analyses was used to create a sequential landscape for this paper. There are some quantitative analyses in image processing and remote sensing field, and this paper investigates to apply the analyses for sequential landscape. Fractal dimension, diversity and contagion were adopted as quantitative index for the sequential landscape in this paper. Moreover, GPS positioning was also recorded during the walks, and the distance from the start point and the altitude were recorded. Such processing was conducted in 3 times (summer of 2009, 2013 and 2015), and the landscapes from these three instances were compared. As a result, the complexity of the landscape for certain objects and overall could be expressed by using two kinds of fractal analysis. In particular, the differences between these two landscapes or for each position could be quantitatively determined. Therefore, a quantitative analysis of the sequential landscape in Oze National Park was conducted. Consequently, the changing landscape in Oze National Park could be quantitatively expressed.

Comparison analysis for sequential landscape of Oze national park by using multiple quantitative indexes