本文選題：土壤氧化鐵 + 遙感��； 參考：《應用生態(tài)學報》2017年11期

【摘要】：氧化鐵是土壤中鐵元素的主要存在形式,亞熱帶土壤中高含量的氧化鐵形成了該區(qū)域重要的土壤附色成分針鐵礦和赤鐵礦等礦物,使得土壤顏色明顯區(qū)別于其他氣候帶.以亞熱帶典型地區(qū)珠江三角洲為例,分析不同光譜形式與土壤氧化鐵含量的相關(guān)性,提取特征光譜波段建立土壤氧化鐵的反演模型.結(jié)果表明:土壤氧化鐵含量與反射光譜之間呈負相關(guān),且敏感波段主要位于404、574、784、854和1204 nm等可見近紅外區(qū)域.微分處理后的光譜與土壤氧化鐵的相關(guān)性明顯提高.在相關(guān)性顯著波段的基礎(chǔ)上采用逐步多元線性回歸以及主成分分析剔除共線性波段,最后選擇特征光譜波段作為反演模型的輸入?yún)?shù).比較反演模型的結(jié)果,得出該地區(qū)土壤氧化鐵含量的最佳反演模型為BP人工神經(jīng)網(wǎng)絡(luò)(RMSEC=0.22,RMSEP=0.81,R~2=0.93,RPD=12.20),該模型具有非常好的穩(wěn)定性,適用于快速估測土壤中氧化鐵含量,并且能夠為測度土壤氧化鐵的空間分布提供研究基礎(chǔ).
[Abstract]:Iron oxide is the main form of iron element in soil. The high content of iron oxide in subtropical soil forms important minerals such as goethite and hematite, which make the soil color distinct from other climatic zones. Taking the Pearl River Delta in the subtropical region as an example, the correlation between the different spectral forms and the content of iron oxide in soil was analyzed, and the inversion model of soil iron oxide was established by extracting the characteristic spectral bands. The results showed that there was a negative correlation between the ferric oxide content and the reflectance spectrum, and the sensitive bands were mainly located in the visible near infrared regions such as 404574784854 nm and 1204 nm. The correlation between the spectra after differential treatment and the soil iron oxide is obviously improved. On the basis of significant correlation band, stepwise multivariate linear regression and principal component analysis (PCA) were used to eliminate the collinear band. Finally, the characteristic spectral band was selected as the input parameter of the inversion model. By comparing the results of the inversion model, it is concluded that the best inversion model of the soil iron oxide content in this area is BP artificial neural network RMSEC 0.22 ~ 0.22 ~ (0.21) RMSEP0.91 ~ 0.93 RPD-12.200.The model has very good stability and is suitable for rapid estimation of iron oxide content in soil. And it can provide the research basis for measuring the spatial distribution of soil iron oxide.
【作者單位】： 山西農(nóng)業(yè)大學資源環(huán)境學院;廣東生態(tài)環(huán)境技術(shù)研究所/廣東省農(nóng)業(yè)環(huán)境綜合治理重點實驗室;廣州地理研究所;中國科學院地球環(huán)境研究所;
【基金】：廣東省科技計劃項目(2015B070701017,2017A040406021) 國家自然科學青年科學基金項目(41601558) 廣州市科技計劃項目(201709010010) 廣東省科學院創(chuàng)新平臺建設(shè)專項資助~~
【分類號】：S153
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本文編號：1888268