塞罕坝秋季景观色彩质量评价及其影响因子的研究

Research on autumn landscape color quality evaluation and its impact factors in Saihanba

为充分挖掘塞罕坝国家森林公园景观林资源的观赏价值,优化塞罕坝秋季景观林水平斑块格局,研究秋季景观林的色彩质量及其影响因子,在塞罕坝利用无人机航拍选取25个具有代表性的景观林图片,采用BIB-LCJ法设计问卷,评价秋季景观林质量,利用Color Impact软件和ArcGIS软件对照片进行色彩量化处理和色彩斑块划分,分析影响秋季景观质量的色彩要素。研究结果表明:(1)基于美景度值,塞罕坝秋季景观Ⅲ级以上占56%。(2)与美景度相关性显著的色彩要素按贡献度大小排序,负向指标为最大斑块指数>背景比例;正向指标为分割度指数>斑块均匀度指数>饱和度指数>主色相比>明度指数>色彩均匀度指数>色相指数。(3)主色相占比57.85%,饱和度指数0.25,明度指数0.44、最大斑块指数18.58%,分割度指数0.85,色彩斑块破碎且均匀,背景比例21.76%的蒙古栎-云杉混交林美景度值最大。综上所述,塞罕坝景观美学质量属较美水平。分割度指数、斑块均匀度指数、最大斑块指数对研究区内景观色彩质量影响较为显著。

In order to fully explore the ornamental value of the landscape forest resources of Saihanba National Forest Park,optimize horizontal patch pattern of the autumn landscape forest in Saihanba,studying the color quality and influence factor of autumn landscape forest,25 representative landscape forest pictures were selected by drone aerial photography in Saihanba,and using BIB-LCJ method to design questionnaire to evaluate autumn landscape quality.Color Impact and ArcGIS software were used to quantify color processing and divide color patches to analyze the color elements that affects the landscape quality in autumn.The results indicated that:(1)Based on the beauty value,Saihanba autumn landscape level above gradeⅢwas 56%.(2)Color elements with significant correlation with beauty value were ranked by contribution size,the negative index was largest patch index>background proportion;The positive index was division index>patch evenness index>saturation index>main color comparison>lightness index>color uniformity index>hue index.(3)The dominant hue ratio was 57.85%,saturation index was 0.25,lightness index was 0.44,maximum patch index was 18.58%,and division index was 0.85.The color patches were broken and even.The beauty value of Mongolian oak-spruce mixed forest with background ratio of 21.76%was the largest.In conclusion,Saihanba landscape aesthetic quality was relatively beautiful.Division index,patch evenness index and largest patch index have a significant influence on the landscape color quality in the study area.