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The Wetland Monitoirng And Analysis Based On Remote Sensing In Hangzhou

Posted on:2015-12-12Degree:MasterType:Thesis
Country:ChinaCandidate:J JiangFull Text:PDF
GTID:2180330431968854Subject:Physical geography
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The wetland in the transition zone between terrestiral ecosystems and aquaticecosystems is an important part of the ecosystem on the earth surface. It has a specialecosystem effects, with huge environmental functions and benefits. Besides, it is alsoan important survival environment to our human beings. At the same time, thewetland is a significant natural resource for human beings, to provide a variety ofresources for the human production and living, and birng huge economic beneifts.With the rich nature resources and the unique ecological structure and function,wetlands enjoy a good name of the nature kidney. As an important natural resource,wetlands not only birng enormous economic and ecological value to humans, but alsohave great scientific and aesthetic value. However, due to human activities and naturalchanges, wetland resources have been severely damaged,for example; the atrophy ofwetland area, the pollution of wetland ecological environment, the degradation ofecological functions, and so on. Protection of wetland resources has become a hotsocial issue. In recent years, research scholars of wetlands focused on wetlandresources and ecosystem assessment, etc. While the wetland accurate access toinformation is particularly importantThis paper taking Hangzhou Bay as the study area, extracted the wetlandinformation from satellite remote sensing image with the use of remote sensingtechnology. With the help of hierarchical classification technique we extracted thebasic information of wetland landscape of1990,2000and2010. Besides, we made evaluation on its interpretation accuracy adopt the method of confusion matrix.Hierarchical classification method reached more than85%of the overall classificationaccuracy. It improved the understanding of translation accuracy compared with thetraditional supervision, unsupervised classification method, realized the wetlandremote sensing information extraction in the study area and obtained an ideal resultBased on the three period of the wetland classification ifgure we analyzed thelandscape dynamic change. Mainly includes the wetland type transfer analysis,wetland landscape pattern index analysis, characteirstics of coastal wetland changes oftime and space analysis, wetland vegetation landscape space expansion intensityanalysis and so on. Besides, we summarized the change of wetland of driving forcefactors. The results show that the atrificial wetland landscape accounted for largerproportion of the wetland in the study area. Among them, the paddy field accountedfor larger proportion. Natural wetland landscape account for40%of the total area ofthe wetland landscape in the study area, in which the contribution of coastal wetlandsis the largest. From1990to2010,the wetland landscape area was decreasing, abovethe two periods of the research, from1990to2010produce the most reductions. Thetrend of the reducing is slowing down.Wetland vegetation is an important part of the wetland landscape. Based on theanalysis of the wetland landscape changes, conducted a correlation analysis ofwetland vegetation leaf area index spatial distribution in the study area of emphasiswetland resources conservation areas (Jiu Duan Sha). Using I.andsat8satellite imagedata and measured ground hyper spectral with leaf area index values by linearregression model or PROSAIL model approach, conducted a inversion on wetlandnature reserve And inversion results of physical models and empirical models werecompared and analyzed. Through comparative analysis of results, the RMSE ofempiircal model is0.67; however the RMSE of physical model value is0.45. Thus,the physical model has more accuracy, more suitable for large-scale space inversion.
Keywords/Search Tags:Remote sensing, Multispectral, Hyper spectral, Wetlands, Dynamicmonitoirng, The inversion of leaf area index
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