Analysis of Green Space Landscape Pattern in Urumqi Based on Worldview-2
Lei Yi-min
Abstract
Lei Yi-min
Abstract
Urban green space is the integrated embodiment of its natural landscape and human landscape,is also an important part of urban ecosystem,and plays an important role in improving the urban environment and maintaining the urban biodiversity and balancing urban ecological system. In this paper,green space information of Urumqi urban area were extracted and analyzed by using object-oriented analysis software Feature Analyst based on the Worldview-2 high resolution remote sensing image of Urumqi in 2010. Compare to the traditional remote sensing supervised classification,the object-oriented classification result was improved significantly and it could be taken as the basis of urban green space analysis effectively. The result was as follows: the green space patch area of Urumqi city was about 5 360. 05 hm2,the number of patches was about 40 048 and the percentage of greenery coverage was about 30. 66%; the dominance of the urban green space was the affiliated green space,the area of road green space was minimum in the green space types; the degree of fragmentation was high,the distribution of green patch size was not even,which meant that the whole city was failed to form a good connectivity. In the future green space planning,the construction of road green space should be paid more attention. Secondly,the greening of barren hills and unused land should be increased. Meanwhile,the existing achievement of urban green space must be protected and it was necessary to strengthen the green landscape structure,improve the quality of green space and perfect the layout of green space.
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Urban green space is the integrated embodiment of its natural landscape and human landscape,is also an important part of urban ecosystem,and plays an important role in improving the urban environment and maintaining the urban biodiversity and balancing urban ecological system. In this paper,green space information of Urumqi urban area were extracted and analyzed by using object-oriented analysis software Feature Analyst based on the Worldview-2 high resolution remote sensing image of Urumqi in 2010. Compare to the traditional remote sensing supervised classification,the object-oriented classification result was improved significantly and it could be taken as the basis of urban green space analysis effectively. The result was as follows: the green space patch area of Urumqi city was about 5 360. 05 hm2,the number of patches was about 40 048 and the percentage of greenery coverage was about 30. 66%; the dominance of the urban green space was the affiliated green space,the area of road green space was minimum in the green space types; the degree of fragmentation was high,the distribution of green patch size was not even,which meant that the whole city was failed to form a good connectivity. In the future green space planning,the construction of road green space should be paid more attention. Secondly,the greening of barren hills and unused land should be increased. Meanwhile,the existing achievement of urban green space must be protected and it was necessary to strengthen the green landscape structure,improve the quality of green space and perfect the layout of green space.
Key concepts: Urban green space, Dominance (genetics), Space (punctuation), Research Object, Geography, Computer science, Environmental resource management, Environmental science