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Optimizing Landscape Pattern In Haidian District, Based On Ecological Network Construction

Posted on:2017-04-09Degree:MasterType:Thesis
Country:ChinaCandidate:S Y GuoFull Text:PDF
GTID:2272330485969887Subject:Urban and rural planning
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In China, landscape fragmentation leaded by rapid urbanization and chaotic urban construction has resulted in the damage to functions of urban ecological system. Ecological construction has become a top priority in the new-type urbanization. Ecological function of eco-system is deeply affected by landscape pattern, which has become a core issue in ecological city construction.Connectivity plays a key role in biodiversity conservation. In the context of ecological connectivity, this study aims at landscape protection, utilization, and rational construction by means of interdisciplinary methodology. First of all, a high resolution satellite image was processed with Envi, Erdas, and other remote sensing software. After geometric correction, radiometric correction and merge, eCognition was used to classify land cover into five types (forest, farmland, construction, roads, water) through object-oriented image classification. Second, morphological spatial pattern analysis (MSPA) was used to evaluate important core patches and corridors, the connectivity analysis was conducted to extract ecological habitats. On the top of that, the potential ecological network are chosen by using "least-cost" model, which made the results better approximate the real landscape by establishing an impedance surface. Finally, after analyzing the landscape composition and structure, concluding problems and challenges in Haidian District, evaluating the feasibility of potential ecological network, rational suggestions on landscape pattern optimization are proposed, helping to guide eco-city planning and provide scientific theories and practical cases for sustainable development in future.
Keywords/Search Tags:Ecological connectivity, landscape pattern, object-oriented image classification, morphological spatial pattern analysis, least cost path
PDF Full Text Request
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