高分影像下晋江流域土地利用景观格局变化及其粒度效应
[Abstract]:In the context of global environmental change, scale problems and spatio-temporal heterogeneity have become an important research content in landscape ecology. In the aspect of scale, because of the limitation of observation data, the low resolution image can not effectively identify the characteristics of pattern or its variation in small scale. In the aspect of spatial and temporal heterogeneity, it is a necessary prerequisite to guide the land resource management practice to measure the dynamic change information of land use in a comprehensive and accurate way, and it is also the key to study the ecological and environmental effects of land use change. Based on the data of SPOT5 high score remote sensing image (spatial resolution of 2.5m) in 2005 and 2010, this paper analyzes the present characteristics of land use in Jinjiang basin, and selects three typical sub-basins of Jinjiang River Basin. This paper analyzes the granularity effect of 28 landscape indices, evaluates the scaling down accuracy of predictable response indices through three kinds of scale functions, and discusses the selection of appropriate granularity in landscape pattern analysis in the study area. The land use dynamic change model of replacement change and replacement change was constructed, and the dynamic change characteristics of land use landscape pattern in Jinjiang River Basin from 2005 to 2010 were analyzed with landscape index. The results showed that: (1) in 2010, forest land, garden land, cultivated land and construction land were the main factors in Jinjiang watershed, and the landscape of land use showed obvious characteristics of terrain differentiation. (2) with the grain size increasing, the granularity effect of various landscape indices was obvious. The change response can be divided into four types: predictable response type, piecewise predictable type, step change type and fluctuating change type. Among them, the piecewise predictable response type is differentiated from the predictable response type. (3) in the predictable response index, The scale function of Shannon diversity index, spread degree and mean fractal dimension of patch is not sensitive to spatial resolution, while high score image is not sensitive to boundary density, average patch shape index, average patch proximity index, The establishment of scale function of the four indexes of degree of aggregation has a great influence on the establishment of scale function, and the regional difference is also great. (4) from 2005 to 2010, the dominant landscape types of forest land, garden land, construction land and traffic land in the watershed gradually increased, and the grassland, scrub, water area, etc. Many rare natural landscape types such as unused land and cultivated land gradually decreased, and the dynamic changes of these sparse landscape types were relatively large. Among them, the change of cultivated land is mainly between garden land, water area, forest land and grassland, and the change of garden land is mainly between grassland and garden land and forest land. The change of forest land is between the natural landscape and woodland and artificial landscape. (5) from 2005 to 2010, the landscape pattern in the watershed changed obviously, mainly reflected in the decline of landscape diversity, the size and shape of patches tend to be extreme; Among them, woodland, construction land and traffic land tend to gather, while other landscape types tend to discrete distribution.
【学位授予单位】:福建师范大学
【学位级别】:硕士
【学位授予年份】:2015
【分类号】:F301.2;P901
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