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Information Extraction And Landscape Pattern Of Urban Green Space Based On GF-1 Satellite Image

Posted on:2018-05-16Degree:MasterType:Thesis
Country:ChinaCandidate:C R ChengFull Text:PDF
GTID:2310330518966786Subject:Cartography and Geographic Information System
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As an important indicator of urban comprehensive quality,urban green space has increasingly become an important part of urban ecological environment.The rational layout of urban green space landscape can improve the management level of urban green space system,and is an important guarantee for the sustainable development of the city.This paper made the GF-1 image as the main information source,based on the extraction of city green land information,landscape spatial pattern of Lanzhou City,and further the spatial analysis of landscape pattern of scenic and recreational city in Lanzhou.The main conclusions are as follows:(1)aiming at GF-1 images,different fusion methods are analyzed,and the fusion evaluation index is proposed.The experiment uses four methods to fuse GF-1 images.After qualitative and quantitative evaluation,we can conclude that NNDiffuse,Pan and Sharpening have the best effect on GF-1 image fusion.(2)proposed the support vector machine for multi spectral and texture features based on the maximum likelihood method,and based on vegetation index classification accuracy analysis,the experimental results show that the former has a high rate of green information extraction.Through this method,the species information map of greenbelt in downtown area of Lanzhou is obtained.(3)landscape index was used to study the characteristics of landscape pattern in downtown area of Lanzhou,and the urban landscape recreational green space was systematically analyzed and accessible by using Voronoi and buffer analysis methods in Lanzhou.The results show that the spatial structure of green space in Lanzhou city center is not reasonable,and the scenic recreation green space is mainly distributed along the strip area along the Yellow River.The patches were scattered,dominated by small patches,and the distribution of various types of green space was uneven,and the diversity index of green space was low.But at the same time,the service capacity of the two North and South Mountain Parks is strong,which plays an important role in comprehensively improving the quality of Lanzhou's urban ecological environment and improving the quality of human settlements in Lanzhou.To sum up,the urban green space landscape layout also has more room for improvement.
Keywords/Search Tags:GF-1, urban green space, image fusion, support vector machine
PDF Full Text Request
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