典型文献
Leaf pigment retrieval using the PROSAIL model:Influence of uncertainty in prior canopy-structure information
文献摘要：
Leaf pigments are critical indicators of plant photosynthesis,stress,and physiological conditions.Inversion of radiative transfer models(RTMs)is a promising method for robustly retrieving leaf biochem-ical traits from canopy observations,and adding prior information has been effective in alleviating the"ill-posed"problem,a major challenge in model inversion.Canopy structure parameters,such as leaf area index(LAI)and average leaf inclination angle(ALA),can serve as prior information for leaf pigment retrie-val.Using canopy spectra simulated from the PROSAIL model,we estimated the effects of uncertainty in LAI and ALA used as prior information for lookup table-based inversions of leaf chlorophyll(Cab)and car-otenoid(Car).The retrieval accuracies of the two pigments were increased by use of the priors of LAI(RMSE of Cab from 7.67 to 6.32 μg cm-2,Car from 2.41 to 2.28 μg cm-2)and ALA(RMSE of Cab from 7.67 to 5.72 μg cm2,Car from 2.41 to 2.23 μg cm-2).However,this improvement deteriorated with an increase of additive and multiplicative uncertainties,and when 40％and 20％noise was added to LAI and ALA respectively,these priors ceased to increase retrieval accuracy.Validation using an experimental winter wheat dataset also showed that compared with Car,the estimation accuracy of Cab increased more or deteriorated less with uncertainty in prior canopy structure.This study demonstrates possible limita-tions of using prior information in RTM inversions for retrieval of leaf biochemistry,when large uncer-tainties are present.
文献关键词：
中图分类号：
作者姓名：
Jia Sun;Lunche Wang;Shuo Shi;Zhenhai Li;Jian Yang;Wei Gong;Shaoqiang Wang;Torbern Tagesson
作者机构：
Key Laboratory of Regional Ecology and Environmental Change,School of Geography and Information Engineering,China University of Geoscience,Wuhan 430079,Hubei,China;Department of Physical Geography and Ecosystem Science,Lund University,Lund 117 SE-22100,Sweden;State Key Laboratory of Information Engineering in Surveying,Mapping,and Remote Sensing,Wuhan University,Wuhan 430079,Hubei,China;Key Laboratory of Quantitative Remote Sensing in Ministry of Agriculture and Rural Affairs,Beijing Research Center for Information Technology in Agriculture,Beijing 100097,China;Department of Geosciences and Natural Resource Management,University of Copenhagen,Copenhagen 1172,Denmark
文献出处：
引用格式：
[1]Jia Sun;Lunche Wang;Shuo Shi;Zhenhai Li;Jian Yang;Wei Gong;Shaoqiang Wang;Torbern Tagesson-.Leaf pigment retrieval using the PROSAIL model:Influence of uncertainty in prior canopy-structure information)[J].作物学报（英文版）,2022(05):1251-1263
A类：
RTMs,biochem,retrie,otenoid
B类：
Leaf,retrieval,using,PROSAIL,Influence,uncertainty,canopy,structure,information,pigments,critical,indicators,plant,photosynthesis,stress,physiological,conditions,Inversion,radiative,transfer,models,promising,method,robustly,retrieving,leaf,traits,from,observations,adding,has,been,effective,alleviating,ill,posed,problem,major,challenge,Canopy,parameters,such,area,LAI,average,inclination,angle,ALA,serve,Using,spectra,simulated,estimated,effects,used,lookup,table,inversions,chlorophyll,Cab,car,Car,accuracies,two,were,increased,by,priors,RMSE,However,this,improvement,deteriorated,additive,multiplicative,uncertainties,when,noise,was,added,respectively,these,ceased,accuracy,Validation,experimental,winter,wheat,dataset,also,showed,that,compared,estimation,more,less,This,study,demonstrates,possible,limita,biochemistry,large,present
AB值：
0.483658
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