Algorithm for global leaf area index retrieval using satellite imagery

By F. Deng, Jing M. Chen, S. Plummer, Mingzhen Chen, Jan Pisek. IEEE Transactions on Geoscience and Remote Sensing, 2006

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Recent trends in vegetation greenness in China significantly altered annual evapotranspiration and water yield (2016, methodology): “The LAI data were retrieved from the 8 day MODIS reflectance product (MOD09A1 V05) (Vermote and Vermeulen 1999) and the yearly MODIS land cover datasets (MCD12Q1 V051) (Friedl et al 2010) using a 4-scale geometric optical model (Deng et al 2006, Liu et al 2012b).”
A comparison of methods for smoothing and gap filling time series of remote sensing observations - application to MODIS LAI products (2012, methodology): “Satellite observations in the reflective solar domain have been used intensively for more than a decade to monitor LAI dynamics over the globe using medium resolution sensors such as MODIS (Moderate Resolution Imaging Spectroradiometer) (Myneni et al., 2002), VEGETATION (Deng et al., 2006; Baret et ”
Theoretical uncertainty analysis of global MODIS, CYCLOPES, and GLOBCARBON LAI products using a triple collocation method (2012, methodology): “The relationships are constructed for six different plant functional types based on the Global Land Cover 2000 (GLC2000) dataset (Deng et al., 2006).”