Temporal And Spatial Dynamic Study Of Green Landscape Connectivity Classification In Shenzhen

City is the main human living environment. The stability of the urban internalecosystem is extremely related to the sustainable development of cities. Meanwhile,green landscape connectivity is the sign of the integrity and stability of regionalecological function. As the global trend of urbanization, the connectivity of the greenlandscape changes dramatically. Its dynamic research is not only significant to thestability study of the urban ecosystem, but also provides a basis for the protection ofurban biodiversity, urban planning and land use planning and management.On behalf of the high speed of urbanization region in China, Shenzhen city hasbeen taken as an example in this dissertation. Based on RS and GIS technology, weuse the morphological spatial pattern to analyze the urban green landscapeconnectivity. The main contents and conclusions are as follows:(1)Five Landsat TM images and linear spectral mixture model was used toextract the vegetation coverage information in the study area based on sub-pixelmodel. The result defined the basis for classification of urban green landscape as well.The result reveals the spatial and temporal vegetation coverage changes in the patternof24a in Shenzhen City, the conclusions are as followed: Although the totalvegetation increased in Shenzhen city during the study period, per unit area ofvegetation cover showed decrease. Depending on regional development trend, thevariation tendency of four lines across the2010vegetation cover map was analyzed,demonstrating that the vegetation cover of core axis was the best among the four axes,followed by the central axis, the eastern axis and the western axis. The other resultillustrated the tendency of gathering towards mountainous region. Overall tendencydisplayed the decrease of vegetation quantity by the order of First Circle>SecondCircle>Third Circle.(2) Morphological spatial pattern analysis (MSPA) was utilized to reveal thetemporal and spatial variations of green landscape connectivity types in the process ofurbanization. Extracting full-coverage and high percentage coverage pixels as urbangreen landscape, it was divided into7green landscape types with different landscape connectivity to analyze the temporal characteristics, the spatial gradient, connectivitydynamics of plots, and judgment of spatial dynamics during the urbanization process.The results demonstrated that, in the process of urbanization, the quantity andconnectivity of the green landscape were affected by the following factors:Urbanization degree, terrain factors and geographical locations. And it can be foundthat the main influencing factor is urbanization degree, which displayed a "U" shapetrend.In summary, the MSPA is able to distinguish the different types of urban greenlandscape connectivity. As a result, it has practical value in monitoring urban greenspace environment, and reveals the spatial and temporal connectivity characteristicsand dynamics during the process of urbanization. This approach has great referencevalue for urban landscape planning and green corridors and ecological networkplanning.