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|Title:||The fourth phase of the radiative transfer model intercomparison (RAMI) exercise: Actual canopy scenarios and conformity testing.|
|Authors:||WIDLOWSKI Jean-Luc; MIO CORRADO; DISNEY Mathias; ADAMS JENNIFER; ANDREDAKIS Ioannis; ATZBERGER Clement; BRENNAN James; BUSETTO Lorenzo; CHELLE Michael; CECCHERINI GUIDO; COLOMBO Roberto; COTE Jean-Francois; EENMAE Alo; ESSEREY Richard; GASTELLU-ETCHEGORRY Jean-Philippe; GOBRON Nadine; GRAU Eloi; HAVERD Vanessa; HOMOLOVA Lucie; HUAGUO Huang; HUNT Linda; KOBAYASHI Hideki; KOETZ Benjamin; KUUSK Andres; KUUSK Joel; LANG Mait; LEWIS P.; LOVELL Jenny; MALENOVSKY Zbynek; MERONI MICHELE; MORSDORF Felix; MOTTUS Matti; NI-MEISTER W.; PINTY Bernard; Rautiainen M.; SCHLERF Martin; SOMERS Ben; STUCKENS Jan; VERSTRAETE Michel m.; YANG Wenze; ZENONE Terenzio; ZHAO Feng|
|Citation:||REMOTE SENSING OF ENVIRONMENT vol. 169 p. 418-437|
|Publisher:||ELSEVIER SCIENCE INC|
|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|
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