亚洲一区欧美在线,日韩欧美视频免费观看,色戒的三场床戏分别是在几段,欧美日韩国产在线人成

基于多源數(shù)據(jù)融合的鹽分遙感反演與季節(jié)差異性研究
作者:
作者單位:

作者簡介:

通訊作者:

中圖分類號:

基金項目:

國家自然科學基金項目(51539005)、內(nèi)蒙古水利科技重大專項(NSK2017-M1)和國家重點研發(fā)計劃項目(2016YFC0400205)


Remote Sensing Inversion of Soil Salinity and Seasonal Difference Analysis Based on Multi-source Data Fusion
Author:
Affiliation:

Fund Project:

  • 摘要
  • |
  • 圖/表
  • |
  • 訪問統(tǒng)計
  • |
  • 參考文獻
  • |
  • 相似文獻
  • |
  • 引證文獻
  • |
  • 資源附件
  • |
  • 文章評論
    摘要:

    為提高多光譜鹽分遙感反演的精度,利用實測高光譜與多光譜進行數(shù)據(jù)融合,并分析了不同季節(jié)鹽分遙感的差異性。以河套灌區(qū)永濟灌域為研究區(qū)域,以實測光譜儀測定的土壤高光譜數(shù)據(jù)和Landsat-8 OLI多光譜數(shù)據(jù)為基礎,通過光譜變換和多元逐步回歸方法篩選特征波段和特征光譜指數(shù),構建了春、秋兩季土壤鹽分多光譜、高光譜反演模型,并利用特征光譜指數(shù)的線性回歸構建了高-多光譜數(shù)據(jù)融合反演模型。結果表明:高光譜的反射率總體比多光譜高36.83%,春季反射率比秋季平均高2378%。利用模型中最優(yōu)變量-特征光譜指數(shù)對多光譜模型與高光譜模型進行融合,高-多光譜融合反演模型訓練集和驗證集R2平均值分別為0.651和0.635,RMSE平均值分別為2.44g/kg和2.49g/kg,精度明顯高于對應的多光譜反演模型,其中訓練集、驗證集的R2平均值分別提高了3619%和3564%,RMSE平均值分別降低了34.28%和41.72%。春季多光譜、高光譜和融合反演模型的精度均高于秋季,其中訓練集R2平均值比秋季模型分別提高了6.03%、6.05%和4.40%,驗證集R2平均值分別提高了19.07%、12.21%和1.75%。構建的高-多光譜融合模型反演灌域春秋兩季平均鹽分含量分別為6.05、5.97g/kg,平均相對誤差分別為9.65%和10.68%,總體上該區(qū)域春季土壤主要為重鹽化土,秋季土壤主要為中鹽化土。

    Abstract:

    The fusion technology based on measured hyperspectral and multispectral data was used to remote sensing inversion of soil salinity to improve the multispectral model precision, and the difference for different seasons was analyzed. Yongji of Hetao Irrigation District, a typical salinization region, was chosen as the study region for establishing hyper-multispectral inversion model of spring and autumn, respectively. The optimal spectral transformation and multiple stepwise regressions were used to get the characteristic bands and spectral indices by using the measured data of the hyperspectral inversion model and Landsat-8 OLI multispectral inversion model. Additionally, the fusion model was established with measured hyperspectral and multispectral data by multiple stepwise regression based on characteristic spectral indices. The results showed that the reflectivity of hyperspectral was 36.83% higher than that of the multispectral, and the average reflectivity in spring was 23.78% higher than that in autumn. The R2 of the training set and validation set of the hyper-multispectral inversion model with characteristic spectral indices were 0.651 and 0.635 on average, the RMSE were 2.44g/kg and 2.49g/kg on average, respectively, R2 were 36.19% and 35.64% higher than those of training set and validation set of the multispectral inversion model, and the RMSE were 34.28% and 41.72% lower than that, respectively. In addition, The accuracy of multispectral, hyperspectral and fusion inversion models in spring was higher than that in autumn, the R2 of the training set was improved by 6.03%, 6.05% and 4.40% on average, and the verification set was improved by 19.07%, 12.21% and 1.75% on average. The average salinity of the spring and autumn was 6.05g/kg and 5.97g/kg which used the hyper-multispectral fusion model inversed, respectively, and the average relative errors with the measured salinity were 9.65% and 10.68%, respectively. On the whole, the soil of this region was mainly highly salinization in spring and moderate salinization in autumn. 

    參考文獻
    相似文獻
    引證文獻
引用本文

孫亞楠,李仙岳,史海濱,崔佳琪,王維剛,卜鑫宇.基于多源數(shù)據(jù)融合的鹽分遙感反演與季節(jié)差異性研究[J].農(nóng)業(yè)機械學報,2020,51(6):169-180. SUN Ya`nan, LI Xianyue, SHI Haibin, CUI Jiaqi, WANG Weigang, BU Xinyu. Remote Sensing Inversion of Soil Salinity and Seasonal Difference Analysis Based on Multi-source Data Fusion[J]. Transactions of the Chinese Society for Agricultural Machinery,2020,51(6):169-180.

復制
分享
文章指標
  • 點擊次數(shù):
  • 下載次數(shù):
  • HTML閱讀次數(shù):
  • 引用次數(shù):
歷史
  • 收稿日期:2019-08-18
  • 最后修改日期:
  • 錄用日期:
  • 在線發(fā)布日期: 2020-06-10
  • 出版日期: