本文選題：土壤發(fā)射率　切入點(diǎn)：中紅外波段　出處：《光譜學(xué)與光譜分析》2017年02期 　論文類型：期刊論文

【摘要】：通過(guò)對(duì)全國(guó)十幾個(gè)地區(qū)共26個(gè)土壤樣品進(jìn)行元素含量和紅外光譜測(cè)定,分析了土壤中紅外發(fā)射率光譜特征,研究了土壤發(fā)射率光譜與土壤的硝態(tài)氮(NO_3-N)、磷(P)、鉀(K)、鈣(Ca)、鎂(Mg)、銅(Cu)、鐵(Fe)、錳(Mn)、鋅(Zn)等元素以及pH值和有機(jī)質(zhì)(OM)含量的相關(guān)性,并利用偏最小二乘回歸和多元逐步回歸建立了利用發(fā)射率光譜估算土壤各種元素含量的回歸模型。由此找到了土壤元素含量與土壤發(fā)射率相關(guān)性最大的特征波段,并遴選出了不同波段哪些土壤元素與發(fā)射率的相關(guān)性最緊密,為開(kāi)展土壤發(fā)射率的影響因素研究和由土壤中紅外光譜預(yù)測(cè)土壤元素含量奠定了理論基礎(chǔ)。研究結(jié)果顯示:(1)在8~10μm波段范圍內(nèi),土壤發(fā)射率與土壤元素相關(guān)性從高到低依次為Ca,Mg,Mn和Fe,相關(guān)系數(shù)最高為0.85,最低為-0.5;另外K,Fe,NO_3-N和Zn與發(fā)射率的相關(guān)性在6~8μm波段范圍內(nèi)依次減小,相關(guān)系數(shù)最高為0.75,最低為0.48;而在10~14μm波段內(nèi),Mn和K與發(fā)射率有較強(qiáng)的相關(guān)性,相關(guān)系數(shù)約為0.5;(2)土壤發(fā)射率與土壤pH值之間大致呈拋物線關(guān)系,在土壤的pH值為7時(shí),發(fā)射率最高,隨著土壤越酸或越堿,發(fā)射率逐漸降低;(3)在建立土壤各元素含量的預(yù)測(cè)模型時(shí)發(fā)現(xiàn),偏最小二乘回歸估算土壤各元素含量的精度要高于多元逐步回歸,尤其是Ca,Cu和Fe這些元素,建模和交叉驗(yàn)證的R~2分別能達(dá)到0.9、0.8以上;利用觀測(cè)的土壤發(fā)射率光譜根據(jù)傳感器波譜響應(yīng)函數(shù)模擬得到的MODIS和ASTER傳感器紅外波段的發(fā)射率數(shù)據(jù),通過(guò)多元逐步回歸模型對(duì)土壤各元素含量進(jìn)行估算發(fā)現(xiàn),利用ASTER的熱紅外波段發(fā)射率估算土壤Ca含量時(shí)建模和驗(yàn)證的決定系數(shù)為0.774和0.892;用MODIS的紅外波段發(fā)射率估算土壤Ca和Fe含量的建模和驗(yàn)證的決定系數(shù)都在0.85以上,估算Mg和K的建模和驗(yàn)證的決定系數(shù)都在0.5以上;并且ASTER的第10和11波段和MODIS的第28,29和30波段對(duì)土壤各元素有較高的敏感性,更適合用于土壤各元素的估算。
[Abstract]:The spectral characteristics of infrared emissivity in soil were analyzed by measuring the elemental content and infrared spectrum of 26 soil samples in more than a dozen regions of China. The correlation between soil emissivity spectra and elements such as no _ 3-N _ 2O _ 3-N, P _ 2O, K _ 2O, Ca ~ (2 +), mg ~ (2 +), Cu ~ (2 +), Fe ~ (2 +), mn ~ (2 +) ~ (2 +), Zn ~ (2 +), pH value and content of organic matter were studied. Based on partial least square regression and multivariate stepwise regression, a regression model for estimating the content of various elements in soil by emissivity spectrum was established. The characteristic band with the greatest correlation between soil element content and soil emissivity was found. And selected which soil elements in different bands are most closely related to emissivity, The results provide a theoretical basis for the study of the influencing factors of soil emissivity and the prediction of soil element content by infrared spectroscopy in soil. The results show that the content of elements in the soil is in the range of 810 渭 m. The correlation between soil emissivity and soil elements is Caomg mn and Fe from high to low, the correlation coefficient is 0.85, and the lowest is -0.5. In addition, the correlation between emissivity and soil emissivity decreases in turn in the range of 68 渭 m. The correlation coefficient was 0.75 and the lowest was 0.48.The correlation coefficient of mn and K with emissivity was about 0.5 ~ (2) in 10 ~ (14) 渭 m band.) there was a parabolic relationship between soil emissivity and soil pH value, and the emissivity was the highest in the soil pH value of 7:00. The emissivity decreased gradually with the increase of soil acidity or alkalinity. When the prediction model of soil elements content was established, it was found that the accuracy of partial least square regression was higher than that of multivariate stepwise regression, especially CaCU and Fe elements. The measured soil emissivity spectra were simulated according to the spectral response function of the MODIS and ASTER sensors, and the emissivity data of the infrared bands of the MODIS and ASTER sensors were obtained by using the observed soil emissivity spectra according to the spectral response function of the sensors. The multiple stepwise regression model was used to estimate the contents of various elements in soil. The determination coefficients of modeling and verification for estimating soil Ca content by using ASTER's thermal infrared emissivity are 0.774 and 0.892, and those for modeling and verifying soil Ca and Fe contents by MODIS infrared band emissivity are above 0.85, respectively. The determination coefficients for modeling and verification of mg and K are all above 0.5, and bands 10 and 11 of ASTER and 2829 and 30 of MODIS are more sensitive to soil elements, so they are more suitable for estimating soil elements.
【作者單位】： 中國(guó)科學(xué)院地理科學(xué)與資源研究所陸地水循環(huán)及地表過(guò)程重點(diǎn)實(shí)驗(yàn)室;中國(guó)科學(xué)院大學(xué);中國(guó)農(nóng)業(yè)大學(xué)農(nóng)業(yè)部設(shè)施農(nóng)業(yè)工程重點(diǎn)開(kāi)放實(shí)驗(yàn)室;
【基金】：國(guó)家自然科學(xué)基金項(xiàng)目(41271380) 國(guó)家重點(diǎn)基礎(chǔ)研究發(fā)展計(jì)劃(973)項(xiàng)目(2013CB733406)資助
【分類號(hào)】：S151.9

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