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基于无人机高光谱特征参数和株高估算马铃薯地上生物量
引用本文:刘杨,冯海宽,黄珏,杨福芹,吴智超,孙乾,杨贵军. 基于无人机高光谱特征参数和株高估算马铃薯地上生物量[J]. 光谱学与光谱分析, 2021, 41(3): 903-911. DOI: 10.3964/j.issn.1000-0593(2021)03-0903-09
作者姓名:刘杨  冯海宽  黄珏  杨福芹  吴智超  孙乾  杨贵军
作者单位:农业部农业遥感机理与定量遥感重点实验室,北京农业信息技术研究中心,北京 100097;山东科技大学测绘科学与工程学院,山东 青岛 266590;国家农业信息化工程技术研究中心,北京 100097;北京市农业物联网工程技术研究中心,北京 100097;农业部农业遥感机理与定量遥感重点实验室,北京农业信息技术研究中心,北京 100097;国家农业信息化工程技术研究中心,北京 100097;北京市农业物联网工程技术研究中心,北京 100097;山东科技大学测绘科学与工程学院,山东 青岛 266590;河南工程学院土木工程学院,河南 郑州 451191
基金项目:国家自然科学基金项目(41601346,41871333)资助。
摘    要:地上生物量(above-ground biomass,AGB)是评价作物长势及其产量估测的重要指标,对指导农业管理具有重要的作用.因此,快速准确地获取生物量信息,对于监测马铃薯生长状况,提高产量具有重要的意义.于马铃薯现蕾期、块茎形成期、块茎增长期、淀粉积累期、成熟期获取成像高光谱影像、实测株高(heigh,H)、地上...

关 键 词:马铃薯  地上生物量  高光谱特征参数  绿边参数  株高
收稿时间:2020-07-21

Estimation of Potato Above-Ground Biomass Based on Hyperspectral Characteristic Parameters of UAV and Plant Height
LIU Yang,FENG Hai-kuan,HUANG Jue,YANG Fu-qin,WU Zhi-chao,SUN Qian,YANG Gui-jun. Estimation of Potato Above-Ground Biomass Based on Hyperspectral Characteristic Parameters of UAV and Plant Height[J]. Spectroscopy and Spectral Analysis, 2021, 41(3): 903-911. DOI: 10.3964/j.issn.1000-0593(2021)03-0903-09
Authors:LIU Yang  FENG Hai-kuan  HUANG Jue  YANG Fu-qin  WU Zhi-chao  SUN Qian  YANG Gui-jun
Affiliation:(Key Laboratory of Quantitative Remote Sensing in Agriculture,Ministry of Agriculture,Beijing Research Center for Information Technology in Agriculture,Beijing 100097,China;College of Surveying Science and Engineering,Shandong University of Science and Technology,Qingdao 266590,China;National Engineering Research Center for Information Technology in Agriculture,Beijing 100097,China;Beijing Engineering Research Center for Agriculture Internet of Things,Beijing 100097,China;College of Civil Engineering,Henan University of Engineering,Zhengzhou 451191,China)
Abstract:Above-ground biomass(AGB)is an important index to evaluate crop growth and yield estimation,and plays an important role in guiding agricultural management.Therefore,the rapid and accurate acquisition of biomass information is of great significance for monitoring the growth status of potato and improving the yield.The hyperspectral images,measured plant height(H),above-ground biomass and three-dimensional coordinates of ground control point(GCP)were obtained in budding potato period,tuber formation period,tuber growth period,starch accumulation period and mature period.Firstly,based on UAV hyperspectral image and GCP to generate the DSM of the experimental field,the plant height(Hdsm)of potato was extracted by DSM.Then the first-order differential spectrum,vegetation index and green edge parameters are calculated using UAV hyperspectral images.Furthermore,the correlation between hyperspectral characteristic parameter(HCPs),green edge parameter(GEPs)and potato AGB was analyzed.The first seven hyperspectral characteristic parameters and the optimal green edge parameter(OGEPs)with good correlation with AGB were selected for each growth period.Finally,the AGB of different growth period was estimated by partial least square regression(PLSR)and random forest(RF)based on the combination of HCPs,HCPs and OGEPs,HCPs and OGEPs and Hdsm.The results show that:(1)the Hdsm is highly fitted to H(R2=0.84,RMSE=6.85 cm,NRMSE=15.67%).(2)The optimal green edge parameters obtained in each growth period are not completely the same.The OGEPs of the budding period,the tuber growth period and the starch accumulation period are Rsum,and the OGEPs of the tuber formation period and the mature period are Drmin and SDr,respectively.(3)Compared with HCPs,the accuracy of AGB estimation could be improved by adding OGEPs to HCPs,OGEPs and Hdsm to HCPs at different growth period of potato,and the latter improved the accuracy more greatly.(4)The R2 of AGB modeling and verification estimated by PLSR and RF showed an upward trend from budding period to tuber growth period and then began to decrease.On the whole,R2 decreased after increased.The estimation of AGB by PLSR is better than RF in each growth period,among which the AGB estimation of tuber growth period was the best.Therefore,the estimation accuracy of potato AGB can be improved by combining the OGEPs and plant height in HCPs and using PLSR method.
Keywords:Potato  Above-ground biomass  Hyperspectral characteristic parameter  Green edge parameter  Plant height
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