Title: The fourth phase of the radiative transfer model intercomparison (RAMI) exercise: Actual canopy scenarios and conformity testing.
Authors: WIDLOWSKI Jean-LucMIO CORRADODISNEY MathiasADAMS JENNIFERANDREDAKIS IoannisATZBERGER ClementBRENNAN JamesBUSETTO LorenzoCHELLE MichaelCECCHERINI GUIDOCOLOMBO RobertoCOTE Jean-FrancoisEENMAE AloESSEREY RichardGASTELLU-ETCHEGORRY Jean-PhilippeGOBRON NadineGRAU EloiHAVERD VanessaHOMOLOVA LucieHUAGUO HuangHUNT LindaKOBAYASHI HidekiKOETZ BenjaminKUUSK AndresKUUSK JoelLANG MaitLEWIS P.LOVELL JennyMALENOVSKY ZbynekMERONI MICHELEMORSDORF FelixMOTTUS MattiNI-MEISTER W.PINTY BernardRautiainen M.SCHLERF MartinSOMERS BenSTUCKENS JanVERSTRAETE Michel m.YANG WenzeZENONE TerenzioZHAO Feng
Citation: REMOTE SENSING OF ENVIRONMENT vol. 169 p. 418-437
Publisher: ELSEVIER SCIENCE INC
Publication Year: 2015
JRC N°: JRC95251
ISSN: 0034-4257
URI: http://www.sciencedirect.com/science/article/pii/S0034425715301048
http://publications.jrc.ec.europa.eu/repository/handle/JRC95251
DOI: 10.1016/j.rse.2015.08.016
Type: Articles in periodicals and books
Abstract: The RAdiative transfer Model Intercomparison (RAMI) activity focuses on the benchmarking of canopy radiative transfer (RT) models. For the current fourth phase of RAMI, six highly realistic virtual plant environments were constructed on the basis of intensive field data collected from (both deciduous and coniferous) forest stands as well as agricultural test sites in Europe and South Africa. Twelve RT modeling groups provided simulations of canopy scale (directional and hemispherically integrated) radiative quantities, as well as a series of binary hemispherical photographs acquired from different locations within the virtual canopies. The simulation results were found to be rather more dissimilar than those recently analysed for the “abstract canopy” scenarios of RAMI-IV. Canopy complexity is among the most likely drivers behind operator induced errors that gave rise to the discrepancies. To separate the simulation results into acceptable and non-acceptable contributions, conformity testing is introduced. More specifically, a shared risk approach is used to evaluate the compliance of RT model simulations on the basis of reference data generated with the weighted ensemble averaging technique from ISO-13528. However, using concepts from legal metrology, the uncertainty of this reference solution will be shown to prevent a confident assessment of model performance with respect to the selected tolerance intervals. As an alternative, guarded risk decision rules will be presented to account explicitly for the uncertainty associated with the reference and candidate methods. Both a guarded acceptance and a guarded rejection approach are used to make confident statements about the acceptance and/or rejection of RT model simulations with respect to the predefined tolerance intervals.
JRC Directorate:Sustainable Resources

Files in This Item:
There are no files associated with this item.


Items in repository are protected by copyright, with all rights reserved, unless otherwise indicated.