Abstract
The OLIVE (On Line Interactive Validation Exercise) platform is dedicated to the validation of global biophysical products such as LAI (Leaf Area Index) and FAPAR (Fraction of Absorbed Photosynthetically Active Radiation). It was developed under the framework of the CEOS (Committee on Earth Observation Satellites) Land Product Validation (LPV) sub-group. OLIVE has three main objectives: (i) to provide a consistent and centralized information on the definition of the biophysical variables, as well as a description of the main available products and their performances (ii) to provide transparency and traceability by an online validation procedure compliant with the CEOS LPV and QA4EO (Quality Assurance for Earth Observation) recommendations (iii) and finally, to provide a tool to benchmark new products, update product validation results and host new ground measurement sites for accuracy assessment. The functionalities and algorithms of OLIVE are described to provide full transparency of its procedures to the community. The validation process and typical results are illustrated for three FAPAR products: GEOV1 (VEGETATION sensor), MGVIo (MERIS sensor) and MODIS collection 5 FPAR. OLIVE is available on the European Space Agency CAL/VAL portal), including full documentation, validation exercise results, and product extracts.
Highlights
Many biophysical products derived from satellites have been developed and made available to the user community over the last 15 years
The dissymmetry in the scattered points under the 1:1 line is mainly explained by the high frequency variability observed in MODIS FPAR Collection 5 Product (MODC5), partly due to cloud contamination that negatively impacts the estimated FAPAR value (Figure 11)
GEOLAND Version1 (GEOV1) for the lowest FAPAR values while MODC5 is offset by 0.1 in the same conditions, in agreement with the offset value already observed with GEOV1
Summary
Many biophysical products derived from satellites have been developed and made available to the user community over the last 15 years This development was possible due to the release of well characterized and calibrated satellite data and the pressing demand from the user community to have access to consistent and ready to use products. This is important for low to medium resolution land products, to meet the requirements of the climate and carbon, forest and agriculture management communities who use global remote sensing observations to calibrate and validate their models for monitoring Earth’s resources [1,2]. Quality flags are generally associated with the products, little quantitative information is provided on the uncertainties which are required for a number of applications, especially those based on satellite data assimilation into process models
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