本文選題：遙感 + 高光譜　； 參考：《光譜學與光譜分析》2016年09期

【摘要】：植被葉片的滯塵量可以表征空氣污染的程度,分析城市植被滯塵的空間特征對于制定更為有效的空氣污染控制政策具有重要的現(xiàn)實意義�；诒本┦兄鞒菂^(qū)采集的大葉黃楊、國槐、毛白楊和山桃等四種典型綠化植被葉片的滯塵量、光譜反射率和葉面積等數(shù)據(jù),比較四種植被葉片滯塵前后的光譜曲線,進行窄波段與衛(wèi)星波段滯塵前后葉片光譜反射率比值與滯塵量的相關分析。然后,分別建立相關性最大的衛(wèi)星波段反射率和NDVI與滯塵量之間的回歸模型,選取擬合較好的模型反演北京城區(qū)植被的滯塵量分布,進而插值得到整個北京城區(qū)的塵埃分布。最后,根據(jù)高滯塵區(qū)域周圍的土地覆蓋和土地利用以及滯塵期間PM10濃度的空間分布對反演的的合理性進行檢驗。結(jié)果表明:在780~1 300nm波段,大葉黃楊、國槐、毛白楊和山桃四種植被的滯塵葉片反射率均明顯低于干凈葉片;窄波段反射率與滯塵量在520~650nm波段和1 390~1 600nm波段具有較高的相關性,相關系數(shù)的絕對值最高達到0.626;利用Landsat8的green波段和NDVI構(gòu)建的滯塵反演模型,決定系數(shù)(R2)分別為0.446和0.465。NDVI模型反演的北京城區(qū)植被的滯塵量分布結(jié)果表明,北京城區(qū)滯塵含量呈現(xiàn)出北高南低,東高西低,中心城區(qū)高于郊區(qū)的空間分布格局。該研究通過高光譜和遙感影像數(shù)據(jù)反演滯塵量,可以為快速全面監(jiān)測城市地區(qū)塵埃分布提供參考。
[Abstract]:The dedusting amount of vegetation leaves can represent the degree of air pollution. It is of great practical significance to analyze the spatial characteristics of urban vegetation dust retention for making more effective air pollution control policies. Based on the data collected from four typical greening vegetation in Beijing, such as Populus japonica, Sophora japonica, Populus tomentosa and Peach, the spectral reflectance and leaf area were compared before and after dust retention. The correlation between the ratio of leaf spectral reflectance and the amount of dust lag in narrow band and satellite band before and after dedusting was analyzed. Then, the regression models of satellite reflectance and NDVI and dust retention are established respectively, and the model with good fitting is selected to retrieve the distribution of dust retention of vegetation in Beijing urban area, and then the dust distribution of the whole Beijing urban area is obtained by interpolation. Finally, the rationality of the inversion is tested according to the spatial distribution of land cover and land use around the high dust retention area and the concentration of PM10 during dust retention. The results showed that the reflectance of dedusting-leaf leaves in 7801 300nm, Populus japonica, Sophora japonica, Populus tomentosa and Prunus amurensis was significantly lower than that of clean leaves, and the reflectivity of narrow band had a high correlation with dust retention in 520~650nm and 1390 600nm bands. The absolute value of correlation coefficient is 0.626, and the distribution of dust retention of vegetation in Beijing is obtained by using Landsat8's green band and NDVI's model of dedusting-dust inversion, which are 0.446 and 0.465.NDVI models respectively. The dust content of Beijing urban area is lower than that of north high and south, east high and west low, and the spatial distribution pattern of central city is higher than that of suburb. This study can provide a reference for rapid and comprehensive monitoring of dust distribution in urban areas by retrieving dust retention from hyperspectral and remote sensing image data.
【作者單位】： 首都師范大學三維信息獲取與應用教育部重點實驗室;首都師范大學資源環(huán)境與地理信息系統(tǒng)北京市重點實驗室;成都理工大學旅游與城鄉(xiāng)規(guī)劃學院;香港理工大學土地測量及地理資訊學系;
【基金】：國家青年科學基金項目(41201488) 國家基礎測繪基金項目(2011A2011) 高等學校博士學科點專項科研基金項目(20111108110004)資助
【分類號】：X513;X173

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