【摘要】：在高光譜數(shù)據(jù)預處理、土壤有機質高光譜敏感波段提取基礎上,建立多元線性回歸、最鄰近法、裝袋算法、多元感知器、隨機森林5種遙感估測模型。用10折交叉驗證方法,借助相關系數(shù)、絕對誤差、均方根誤差、相對誤差、相對均方根誤差5個指標,對遙感估測模型結果進行精度評價,選擇精度最高的模型進行濕地土壤有機質遙感估測和空間分析。結果表明:土壤有機質高光譜敏感波段主要集中在925、1 144、1 477、1 780 nm 4個波段;在預測土壤有機質的5種模型中,多元線性回歸模型預測精度最高,隨機森林次之;土壤有機質空間分布呈現(xiàn)由洲灘中間向四周逐漸增加的帶狀分布格局;新濟洲沼澤地土壤有機質含量最高,為2.22%;靠近沼澤的林地次之;植被覆蓋度較低的農地和裸地的土壤有機質最低,為0.43%;這種土壤有機質空間分布格局與研究區(qū)土壤類型的帶狀分布存在密切聯(lián)系。
[Abstract]:On the basis of preprocessing of hyperspectral data and extraction of hyperspectral sensitive bands of soil organic matter, five kinds of remote sensing estimation models including multivariate linear regression, nearest neighbor method, bagging algorithm, multivariate perceptron and random forest were established. The accuracy of remote sensing estimation model was evaluated by 10 fold cross validation method with the help of five indexes: correlation coefficient, absolute error, root mean square error and relative root mean square error. The model with the highest precision was selected to estimate the soil organic matter in wetland by remote sensing and spatial analysis. The results showed that the hyperspectral sensitive bands of soil organic matter were mainly located in the four bands of 925 ~ (14) ~ (44) ~ (14) ~ (7) ~ (7) ~ 1 780 nm, among the 5 models for predicting soil organic matter, the multivariate linear regression model had the highest prediction accuracy, followed by the random forest. The spatial distribution of soil organic matter showed a zonal distribution pattern gradually increasing from the middle to the periphery of the beach, the content of soil organic matter in the swamp of Xinji Island was the highest (2.22), and the forest land near the marsh was the second. The soil organic matter of farmland with low vegetation coverage and bare land was the lowest, which was 0.43. The spatial distribution pattern of soil organic matter was closely related to the zonal distribution of soil types in the study area.
【作者單位】： 南京林業(yè)大學林學院;
【基金】：國家自然科學基金項目(31170679)資助 江蘇高等學校大學生創(chuàng)新創(chuàng)業(yè)訓練計劃項目(201510298051Z)資助 江蘇高校品牌專業(yè)建設工程項目(TAPP,PPZY2015A062)資助
【分類號】：S153.621

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