The fourth phase of the radiative transfer model intercomparison (RAMI) exercise: Actual canopy scenarios and conformity testing

被引:184
作者
Widlowski, Jean-Luc [1 ]
Mio, Corrado [1 ]
Disney, Mathias [2 ,3 ]
Adams, Jennifer [1 ,2 ]
Andredakis, Ioannis [4 ]
Atzberger, Clement [5 ]
Brennan, James [2 ,3 ]
Busetto, Lorenzo [6 ]
Chelle, Michael [7 ]
Ceccherini, Guido [8 ]
Colombo, Roberto [9 ]
Cote, Jean-Francois [10 ]
Eenmaee, Alo [11 ,12 ]
Essery, Richard [13 ]
Gastellu-Etchegorry, Jean-Philippe [14 ]
Gobron, Nadine [1 ]
Grau, Eloi [14 ]
Haverd, Vanessa [15 ]
Homolova, Lucie [16 ]
Huang, Huaguo [17 ]
Hunt, Linda [18 ]
Kobayashi, Hideki [19 ]
Koetz, Benjamin [20 ]
Kuusk, Andres [12 ]
Kuusk, Joel [12 ]
Lang, Mait [11 ,12 ]
Lewis, Philip E. [2 ,3 ]
Lovell, Jennifer L. [21 ]
Malenovsky, Zbynek [22 ]
Meroni, Michele [23 ]
Morsdorf, Felix [24 ]
Mottus, Matti [25 ]
Ni-Meister, Wenge [26 ]
Pinty, Bernard [1 ]
Rautiainen, Miina [27 ,28 ]
Schlerf, Martin [29 ]
Somers, Ben [30 ]
Stuckens, Jan [31 ]
Verstraete, Michel M. [32 ,33 ]
Yang, Wenze [34 ]
Zhao, Feng [35 ]
Zenone, Terenzio [36 ]
机构
[1] Commiss European Communities, Joint Res Ctr, Inst Environm & Sustainabil, Land Resources Management Unit, I-21027 Ispra, VA, Italy
[2] UCL, Dept Geog, London WC1E 6BT, England
[3] NERC, NCEO, Sheffield, S Yorkshire, England
[4] Commiss European Communities, Joint Res Ctr, Inst Protect & Secur Citizen, Global Secur & Crisis Management Unit, I-21027 Ispra, VA, Italy
[5] Univ Nat Resources & Life Sci, Inst Surveying Remote Sensing & Land Informat, Vienna, Austria
[6] Natl Res Council CNR IREA, Inst Remote Sensing Environm, I-20133 Milan, Italy
[7] INRA, Ecosys UMR1402, F-78850 Thiverval Grignon, France
[8] Commiss European Communities, Joint Res Ctr, Inst Environm & Sustainabil, Water Resources Unit, I-21027 Ispra, VA, Italy
[9] Univ Milano Bicocca, Dept Earth & Environm Sci DISAT, Remote Sensing Environm Dynam Lab, I-20126 Milan, Italy
[10] Nat Resources Canada, Canadian Wood Fibre Ctr, Ste Foy, PQ G1V 4C7, Canada
[11] Estonian Univ Life Sci, Inst Forestry & Rural Engn, EE-51014 Tartu, Estonia
[12] Tartu Observ, EE-61602 Toravere, Tartumaa, Estonia
[13] Univ Edinburgh, Sch Geosci, Edinburgh, Midlothian, Scotland
[14] Ctr Natl Etud Spatiales, F-31055 Toulouse, France
[15] CSIRO Oceans & Atmosphere Flagship, Canberra, ACT 2601, Australia
[16] Acad Sci Czech Republ, Global Change Res Ctr, Vvi, Brno 60300, Czech Republic
[17] Beijing Forestry Univ, Beijing, Peoples R China
[18] Sci Syst & Applicat Inc, Hampton, VA 23666 USA
[19] Japan Agcy Marine Earth Sci & Technol, Yokohama, Kanagawa, Japan
[20] European Space Agcy, ESRIN D EOP SEP, I-00044 Frascati, Italy
[21] CSIRO Oceans & Atmosphere Flagship, Hobart, Tas 7001, Australia
[22] Univ Wollongong, Sch Biol Sci, Inst Conservat Biol, Wollongong, NSW 2522, Australia
[23] Commiss European Communities, Joint Res Ctr, Inst Environm & Sustainabil, Monitoring Agr Resources Unit, I-21027 Ispra, VA, Italy
[24] Univ Zurich, Dept Geog, Remote Sensing Labs, CH-8057 Zurich, Switzerland
[25] Univ Helsinki, Dept Geosci & Geog, FI-00014 Helsinki, Finland
[26] CUNY Hunter Coll, Dept Geog, New York, NY 10021 USA
[27] Aalto Univ, Dept Real Estate Planning & Geoinformat, Espoo 00076, Finland
[28] Aalto Univ, Dept Radiosci & Engn, Espoo 00076, Finland
[29] Luxembourg Inst Sci & Technol, Dept Environm Res & Innovat, Belvaux, Luxembourg
[30] Katholieke Univ Leuven, Div Forest Nat & Landscape, Heverlee, Belgium
[31] Merkator Nv, B-1731 Zellik, Belgium
[32] South Africa Natl Space Agcy, SANSA Earth Observat, ZA-0087 Pretoria, South Africa
[33] Univ Witwatersrand, GCSRI, Johannesburg, South Africa
[34] Univ Maryland, Earth Syst Sci Interdisciplinary Ctr, Cooperat Inst Climate & Satellites, College Pk, MD 20740 USA
[35] Beijing Univ Aeronaut & Astronaut, Sch Instrument Sci & Optoelect Engn, Beijing 100191, Peoples R China
[36] Univ Antwerp, Res Grp Plant & Vegetat Ecol, Dept Biol, B-2610 Antwerp, Belgium
关键词
Conformity testing; Radiative transfer; Model benchmarking; 3D virtual plant canopy; Digital hemispherical photography; Optical remote sensing; Shared risk; Guarded acceptance; GCOS; ISO-13528; ABSOLUTE RADIOMETRIC CALIBRATION; FOREST REFLECTANCE MODEL; BIDIRECTIONAL SCATTERING; CSAR MODEL; VALIDATION; LIGHT; SIMULATION; ATMOSPHERE; INVERSION; AIRBORNE;
D O I
10.1016/j.rse.2015.08.016
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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 test sites in Europe and South Africa. Twelve RT modelling 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 showed much greater variance 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. Conformity testing was introduced to separate the simulation results into acceptable and non-acceptable contributions. More specifically, a shared risk approach is used to evaluate the compliance of RI 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 guarded acceptance and guarded rejection approaches are used to make confident statements about the acceptance and/or rejection of RT model simulations with respect to the predefined tolerance intervals. (C) 2015 The Authors. Published by Elsevier Inc.
引用
收藏
页码:418 / 437
页数:20
相关论文
共 81 条
  • [1] [Anonymous], 1994, 5725 (E). Accuracy (Trueness and Precision) of Measurement Methods and Results
  • [2] [Anonymous], 1998, ISO142531
  • [3] [Anonymous], 2003, ISO105761
  • [4] [Anonymous], 2004, J GEOPHYS RES ATMOS
  • [5] [Anonymous], 2008, JCGM101, Evaluation of Measurement Data-Supplement 1 to the "Guide to the Expression of Uncertainty in Measurement"- Propagation of Distributions Using a Monte Carlo Method
  • [6] [Anonymous], 2005, 13528 ISO
  • [7] [Anonymous], 2012, JCGM106
  • [8] Atzberger C, 2001, DECADE OF TRANS-EUROPEAN REMOTE SENSING COOPERATION, P39
  • [9] Biliouris D., 2007, SENSORS, V7, P1846
  • [10] Bojinski S., 2014, B AM METEOROLOGICAL, P95