基于高分遙感數(shù)據(jù)的小城鎮(zhèn)發(fā)展?fàn)顩r評價模型研究
發(fā)布時間:2018-05-25 20:54
本文選題:小城鎮(zhèn) + 發(fā)展?fàn)顩r評價; 參考:《建設(shè)科技》2016年12期
【摘要】:準(zhǔn)確的小城鎮(zhèn)發(fā)展的評價具有重要的意義,多因素綜合評價方法是對小城鎮(zhèn)進行定量化評價是目前常用的方法,多因素綜合評價方法的數(shù)據(jù)源多是統(tǒng)計數(shù)據(jù)。但是,統(tǒng)計數(shù)據(jù)質(zhì)量問題影像了小城鎮(zhèn)發(fā)展?fàn)顩r評價的可信性。為了解決上述問題,本文提出了一種基于遙感數(shù)據(jù)的方法,即從城市建設(shè)程度、資源擁有量、生態(tài)環(huán)境狀況三個方面選擇具有代表性的8個指標(biāo),利用高空間分辨率衛(wèi)星影像提取土地利用土地分類數(shù)據(jù),進而推導(dǎo)出指標(biāo)值,再利用熵值法計算綜合指標(biāo)中的權(quán)重因子,從而得到小城鎮(zhèn)發(fā)展的綜合評價得分,反映出小城鎮(zhèn)發(fā)展?fàn)顩r。
[Abstract]:It is of great significance to evaluate the development of small towns accurately. The multi-factor comprehensive evaluation method is a commonly used method for quantitative evaluation of small towns, and the data source of multi-factor comprehensive evaluation method is mostly statistical data. However, the quality of statistical data images the credibility of the evaluation of the development of small towns. In order to solve the above problems, this paper puts forward a method based on remote sensing data, which is to select 8 representative indexes from three aspects: the degree of urban construction, the quantity of resources, and the state of ecological environment. The land use classification data are extracted from high spatial resolution satellite image, and then the index value is deduced, and then the weight factor in the comprehensive index is calculated by entropy method, and the comprehensive evaluation score of small town development is obtained. Reflect the development of small towns.
【作者單位】: 住房和城鄉(xiāng)建設(shè)部遙感應(yīng)用中心;北京師范大學(xué);
【分類號】:P237;F299.2
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1 張王菲;程雄;高建國;;小城鎮(zhèn)發(fā)展規(guī)模的預(yù)測與研究[J];測繪科學(xué);2010年05期
,本文編號:1934639
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