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Article

Fiducial Reference Measurements for Vegetation Bio-Geophysical Variables: An End-to-End Uncertainty Evaluation Framework

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School of Geography and Environmental Science, University of Southampton, Highfield, Southampton SO17 1BJ, UK
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Earth Observation Laboratory (EOLAB), 46980 Valencia, Spain
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Grup de Meteorologia, Departament de Física, Universitat de les Illes Balears, Cra. de Valldemossa, km 7.5, 07122 Palma, Spain
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Earth Observation, Climate and Optical Group, National Physical Laboratory, Teddington, Middlesex TW11 0LW, UK
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Tecnológico Nacional de México/IT Bahía de Banderas, Crucero a Punta de Mita S/N, Bahía de Banderas, C.P., Nayarit 63734, Mexico
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Université de Lorraine, AgroParisTech, INRAE, UMR1434 Silva, 54000 Nancy, France
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European Space Research Institute, European Space Agency, 00044 Frascati, Italy
*
Author to whom correspondence should be addressed.
Academic Editors: Sofia Bajocco and Jin Wu
Remote Sens. 2021, 13(16), 3194; https://doi.org/10.3390/rs13163194
Received: 24 June 2021 / Revised: 5 August 2021 / Accepted: 9 August 2021 / Published: 12 August 2021
(This article belongs to the Special Issue Recent Advances in Satellite Derived Global Land Product Validation)
With a wide range of satellite-derived vegetation bio-geophysical products now available to users, validation efforts are required to assess their accuracy and fitness for purpose. Substantial progress in the validation of such products has been made over the last two decades, but quantification of the uncertainties associated with in situ reference measurements is rarely performed, and the incorporation of uncertainties within upscaling procedures is cursory at best. Since current validation practices assume that reference data represent the truth, our ability to reliably demonstrate compliance with product uncertainty requirements through conformity testing is limited. The Fiducial Reference Measurements for Vegetation (FRM4VEG) project, initiated by the European Space Agency, is aiming to address this challenge by applying metrological principles to vegetation and surface reflectance product validation. Following FRM principles, and in accordance with the International Standards Organisation’s (ISO) Guide to the Expression of Uncertainty in Measurement (GUM), for the first time, we describe an end-to-end uncertainty evaluation framework for reference data of two key vegetation bio-geophysical variables: the fraction of absorbed photosynthetically active radiation (FAPAR) and canopy chlorophyll content (CCC). The process involves quantifying the uncertainties associated with individual in situ reference measurements and incorporating these uncertainties within the upscaling procedure (as well as those associated with the high-spatial-resolution imagery used for upscaling). The framework was demonstrated in two field campaigns covering agricultural crops (Las Tiesas–Barrax, Spain) and deciduous broadleaf forest (Wytham Woods, UK). Providing high-spatial-resolution reference maps with per-pixel uncertainty estimates, the framework is applicable to a range of other bio-geophysical variables including leaf area index (LAI), the fraction of vegetation cover (FCOVER), and canopy water content (CWC). The proposed procedures will facilitate conformity testing of moderate spatial resolution vegetation bio-geophysical products in future validation exercises. View Full-Text
Keywords: CCC; FAPAR; FRM; upscaling; validation CCC; FAPAR; FRM; upscaling; validation
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MDPI and ACS Style

Brown, L.A.; Camacho, F.; García-Santos, V.; Origo, N.; Fuster, B.; Morris, H.; Pastor-Guzman, J.; Sánchez-Zapero, J.; Morrone, R.; Ryder, J.; Nightingale, J.; Boccia, V.; Dash, J. Fiducial Reference Measurements for Vegetation Bio-Geophysical Variables: An End-to-End Uncertainty Evaluation Framework. Remote Sens. 2021, 13, 3194. https://doi.org/10.3390/rs13163194

AMA Style

Brown LA, Camacho F, García-Santos V, Origo N, Fuster B, Morris H, Pastor-Guzman J, Sánchez-Zapero J, Morrone R, Ryder J, Nightingale J, Boccia V, Dash J. Fiducial Reference Measurements for Vegetation Bio-Geophysical Variables: An End-to-End Uncertainty Evaluation Framework. Remote Sensing. 2021; 13(16):3194. https://doi.org/10.3390/rs13163194

Chicago/Turabian Style

Brown, Luke A., Fernando Camacho, Vicente García-Santos, Niall Origo, Beatriz Fuster, Harry Morris, Julio Pastor-Guzman, Jorge Sánchez-Zapero, Rosalinda Morrone, James Ryder, Joanne Nightingale, Valentina Boccia, and Jadunandan Dash. 2021. "Fiducial Reference Measurements for Vegetation Bio-Geophysical Variables: An End-to-End Uncertainty Evaluation Framework" Remote Sensing 13, no. 16: 3194. https://doi.org/10.3390/rs13163194

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