發(fā)布時間：2018-04-19 08:38

  本文選題：遙感 + 病害　； 參考：《農(nóng)業(yè)工程學(xué)報》2017年05期

【摘要】：玉米大斑病是春玉米主要病害之一,采用地面光譜觀測的方式構(gòu)建遙感監(jiān)測指數(shù),是實施區(qū)域遙感監(jiān)測的基礎(chǔ),也是衛(wèi)星傳感器譜段設(shè)計的主要依據(jù)。該文在陜西省眉縣設(shè)計了人工控制小區(qū)試驗,針對高抗、抗、感和高感4個品種,通過人工接種不同濃度大斑病分生孢子的方法,獲得了正常、輕微、中度以及嚴(yán)重等4個病害感染梯度小區(qū),并在春玉米抽雄、吐絲、乳熟以及成熟4個生長期進行了地面高光譜觀測。為了實現(xiàn)對春玉米大斑病的遙感監(jiān)測,該項研究在春玉米冠層光譜數(shù)據(jù)基礎(chǔ)上,分析了不同種植區(qū)不同生長期春玉米冠層光譜反射率和光譜一階微分特征,并以此確定了大斑病敏感波段位置以及病害適宜監(jiān)測期,同時根據(jù)敏感波段位置的光譜特征構(gòu)建了專門的春玉米大斑病的遙感監(jiān)測指數(shù),最后結(jié)合180個光譜觀測樣本,對比了所提指數(shù)以及其他病害指數(shù)與病害嚴(yán)重度之間的相關(guān)性,并通過聚類分析了所建遙感指數(shù)的穩(wěn)定性。研究結(jié)果表明,乳熟期的春玉米大斑病在紅邊波譜內(nèi)的響應(yīng)較為敏感,尤其紅邊核心區(qū)(725~740 nm)的光譜一階微分與病害嚴(yán)重程度間存在明顯地單調(diào)變化關(guān)系,具有非常顯著的負(fù)相關(guān)性;同時,該文所提病害監(jiān)測指數(shù)與病情指數(shù)具有較高的相關(guān)性,其相關(guān)系數(shù)達到了0.995 0,最后結(jié)果表明利用紅邊一階微分指數(shù)的對病害程度的聚類總體精度達到100.0%,指數(shù)值分布穩(wěn)定性也更高,具有在遙感監(jiān)測業(yè)務(wù)中應(yīng)用的潛力。
[Abstract]:Maize spot disease is one of the main diseases of spring maize. It is the basis of regional remote sensing monitoring and the design of satellite sensor spectrum to construct remote sensing monitoring index by means of ground spectrum observation.An artificial control plot experiment was designed in Meimei County, Shaanxi Province. For four varieties with high resistance, resistance, sensitivity and high sensitivity, normal and slight results were obtained by inoculating conidial spores with different concentrations.Four moderate and severe diseases were infected in gradient plots, and the ground hyperspectral observations were carried out in 4 growing stages of spring maize, such as heading, silking, milking and maturing.Based on the spectral data of spring maize canopy, the spectral reflectance and first-order differential characteristics of spring maize canopy in different growing periods were analyzed.According to the spectral characteristics of the sensitive bands, a special remote sensing monitoring index of spring maize spot was constructed. Finally, 180 spectral observation samples were used.The correlation between the index and the severity of the disease was compared, and the stability of the remote sensing index was analyzed by clustering.The results showed that the response of spring maize blotch in milk-ripening stage was more sensitive to the red edge spectrum, especially the relationship between the first order differential spectrum of red edge core and the severity of the disease.At the same time, the disease surveillance index proposed in this paper has a high correlation with disease index.The correlation coefficient is up to 0.995. The result shows that the clustering accuracy of the first order differential index of red border is 100.00.The stability of index value distribution is also higher, which has the potential to be applied in remote sensing monitoring.
【作者單位】： 中國農(nóng)業(yè)科學(xué)院農(nóng)業(yè)資源與農(nóng)業(yè)區(qū)劃研究所;
【基金】：國家重點研發(fā)計劃“糧食作物生長監(jiān)測診斷與精確栽培技術(shù)”課題“作物生長與生產(chǎn)力衛(wèi)星遙感監(jiān)測預(yù)測”(2016YFD0300603)
【分類號】：S435.13;S127

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1 謝凱;蔣，

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