【摘要】：本文立足于街道景觀視覺質(zhì)量定量研究不足,以行人的視覺感受為出發(fā)點(diǎn),創(chuàng)新性地提出一種用于衡量城市行道樹的綠量可視性的綠視量指數(shù)。該方法通過模擬人眼視野范圍內(nèi)周圍樹木的真實(shí)場景,定量描述了行人視角下所能捕獲的行道樹綠色面積,以及這種目視接觸概率的空間分布差異。研究結(jié)果表明:對于復(fù)雜的城市街道景觀,綠視量指數(shù)能夠很好地反映出行道樹的空間分布、樹冠三維結(jié)構(gòu)、建筑物遮擋、以及觀察距離對行人感知城市綠量產(chǎn)生的影響。本方法充分利用多源信息,基于計算機(jī)的自動解譯,實(shí)現(xiàn)了街道場景內(nèi)任意位置的綠視量高精度計算,大大降低了人力成本,可用作大范圍多區(qū)域間的對比評價。研究成果證實(shí)了多源遙感數(shù)據(jù)在評價道路綠化景觀視覺效果上的有效性,可為環(huán)境規(guī)劃設(shè)計、綠化精細(xì)化管理、人居環(huán)境改善提供技術(shù)支撐。
[Abstract]:Based on the lack of quantitative research on the visual quality of street landscape, this paper proposes an innovative green visual index to measure the visibility of urban walkway trees with the visual perception of pedestrians as the starting point. By simulating the real scene of trees around the visual field of human eyes, this method quantitatively describes the green area of the trees captured by pedestrians and the spatial distribution difference of the visual contact probability. The results show that for the complex urban street landscape, the green visual index can well reflect the spatial distribution of street trees, the three-dimensional structure of tree crown, the occlusion of buildings, and the effect of observing distance on the perceived urban green volume of pedestrians. This method makes full use of multi-source information, based on the automatic interpretation of computer, realizes the high-precision calculation of green vision at any location in street scene, greatly reduces the manpower cost, and can be used as a comparative evaluation among large-scale multi-area. The research results confirm the effectiveness of multi-source remote sensing data in evaluating the visual effect of road greening landscape, which can provide technical support for environmental planning and design, fine management of greening and improvement of human settlements environment.
【作者單位】： 中國科學(xué)院遙感與數(shù)字地球研究所對地觀測應(yīng)用系統(tǒng)工程研究室;中國科學(xué)院大學(xué);
【基金】：國家自然科學(xué)基金項目(41471310) 廣東省科技計劃項目(2016A050502065) 四川省科技支撐計劃項目(2016JZ0027)
【分類號】：P237;TU985.12
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本文編號：2462910