GEOV1: LAI and FAPAR essential climate variables and FCOVER global time series capitalizing over existing products. Part1: Principles of development and production

By Frédéric Baret, Marie Weiss, Roselyne Lacaze, F. Camacho, H. Makhmara, P. Pacholcyzk, B. Smets. 2013

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Analysis of Global LAI/FPAR Products from VIIRS and MODIS Sensors for Spatio-Temporal Consistency and Uncertainty from 2012–2016 (2018, methodology): “For effective use in most global models of climate, biogeochemistry and ecology, the long-term LAI/FPAR products have been generated from satellite remote sensing [2,5].”
Framing the concept of satellite remote sensing essential biodiversity variables: challenges and future directions (2016, unknown): “(2015); Baret et al. (2013); Pettorelli (2013); Racault”
Optical remote sensing and the retrieval of terrestrial vegetation bio-geophysical properties - A review (2015, background): “To mitigate some of the above-identified limitations, Baret et al. (2013) recently presented the global GEOV1 products, available from 1999 to present, at a 1/112 spatial grid size, and a decadal time step.”
Long-Time-Series Global Land Surface Satellite Leaf Area Index Product Derived From MODIS and AVHRR Surface Reflectance (2016, unknown): “parison of Products (BELMANIP) network of sites [24].”
Quantifying Vegetation Biophysical Variables from Imaging Spectroscopy Data: A Review on Retrieval Methods (2018, unknown): “Altogether, although these studies742 have only been developed in experimental settings – similar as the operational multispectral743 hybrid algorithms (e.g. Bacour et al, 2006; Baret et al, 2013) – the hybrid structures can be744 perfectly implemented into global mapping schemes.”