Urban Green Space Planning Based on Remote Sensing and Geographic Information Systems
نویسندگان
چکیده
Urban construction land expansion damages natural ecological patches, changing the relationship between residents and land. This is widespread due to global urbanization. Considering nature society in urban planning, we have established an evaluation system for green space ensure development residents’ needs while considering resource distribution. alleviate contradiction of use realize city’s sustainable development. Taking Fengdong New City, Xixian Area as example, study used seven indicators construct source system, four types factors identify corridors nodes using minimum cumulative resistance model, a Back Propagation neural network determine weight constructing network. We comprehensively analyzed retained 11 areas, identified 18 corridors, integrated selected 13 nodes. found that area under influence ecosystem functions 12.56 km2, demands 1.40 after comprehensive consideration 22.88 km2. Based on results, this paper concludes protecting, excavating, developing various greening do not conflict with meeting needs. With factors, cities can achieve also BP objectively calculates analyzes corrects distribution value each factor, ensures validity practicability weights. The main innovation lies quantitative analysis spatial expression demand positive negative aspects disturbance. research results improve credibility scientificity so planning adapt serve city its residents.
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ژورنال
عنوان ژورنال: Remote Sensing
سال: 2022
ISSN: ['2315-4632', '2315-4675']
DOI: https://doi.org/10.3390/rs14174213