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基于SPOT遙感數(shù)據(jù)的甘蔗葉面積指數(shù)反演和產(chǎn)量估算
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農(nóng)業(yè)部農(nóng)業(yè)信息預(yù)警財(cái)政專項(xiàng)資助項(xiàng)目（2130111）;高分辨率對地觀測重大專項(xiàng)農(nóng)業(yè)遙感監(jiān)測與評(píng)價(jià)子系統(tǒng)先期攻關(guān)項(xiàng)目(E0201/1112—1)


Estimation of LAI and Yield of Sugarcane Based on SPOT Remote Sensing Data
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    摘要:

    利用SPOT遙感數(shù)據(jù)進(jìn)行甘蔗葉面積指數(shù)LAI反演，建立最佳NDVI—LAI反演模型，同時(shí)結(jié)合不同生育期甘蔗葉面積指數(shù)的時(shí)序變化規(guī)律，建立各生育期甘蔗葉面積指數(shù)LAI與產(chǎn)量的相關(guān)關(guān)系，得到甘蔗葉面積指數(shù)LAI—產(chǎn)量最佳估產(chǎn)模型。在驗(yàn)證甘蔗葉面積指數(shù)LAI的基礎(chǔ)上，利用遙感反演的甘蔗葉面積指數(shù)LAI進(jìn)行甘蔗單產(chǎn)估算。結(jié)果表明：甘蔗葉面積指數(shù)LAI與NDVI之間存在顯著的正相關(guān)關(guān)系，全生育期二者的相關(guān)性最高，以二次函數(shù)模型擬合效果最佳，決定系數(shù)R2為0.8429。將遙感數(shù)據(jù)反演得到的平均葉面積指數(shù)LAI數(shù)據(jù)代入甘蔗葉面積LAI—產(chǎn)量模型得到全縣平均單產(chǎn)，與統(tǒng)計(jì)數(shù)據(jù)相比，相對誤差僅為2.6%。說明該模型具有較好的估產(chǎn)效果，可以為甘蔗區(qū)域估產(chǎn)提供重要參考。

    Abstract:

    By using retrieved LAI from SPOT remote sensing data, the relationship between leaf area index and the normalized difference vegetation index was studied. The regular pattern of LAI in deference growth stages was combined to estimate models between LAI from remote sensing data and yield of sugarcane. After optimizing the models, the best model for sugarcane yield estimation was determined. The results showed that a strong positive correlation between LAI and NDVI was obtained. A quadratic function model was the best regression model for the whole growth stage (R2=0.8429). Statistical yield were compared with yield simulated with LAI. The relative error was 2.6%. The estimation of sugarcane yield estimates could be improved by combining remotely sensed data. This study provided the reference for estimating the regional yield of sugarcane in China.

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何亞娟,潘學(xué)標(biāo),裴志遠(yuǎn),馬尚杰,Heather McNirn, Jiali Shang.基于SPOT遙感數(shù)據(jù)的甘蔗葉面積指數(shù)反演和產(chǎn)量估算[J].農(nóng)業(yè)機(jī)械學(xué)報(bào),2013,44(5):226-231. He Yajuan, Pan Xuebiao, Pei Zhiyuan, Ma Shangjie, Heather McNirn, Jiali Shang. Estimation of LAI and Yield of Sugarcane Based on SPOT Remote Sensing Data[J]. Transactions of the Chinese Society for Agricultural Machinery,2013,44(5):226-231.

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  • 在線發(fā)布日期: 2013-04-28
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