Theoretical uncertainty analysis of global MODIS, CYCLOPES, and GLOBCARBON LAI products using a triple collocation method
By Hongliang Fang, Shanshan Wei, Chongya Jiang, Klaus Scipal. 2012
143 citations recorded by the source corpus.
Subfields: Ecology, Global and Planetary Change, Plant Science
View Paper: https://www.semanticscholar.org/paper/16ce2c351d96b4eec142cf975e27f740c37f411e
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In Ecology
In Global and Planetary Change
In Plant Science
Citations in the corpus
- Characterization of precipitation product errors across the United States using multiplicative triple collocation (2015, background): “, 2007; Portabella and Stoffelen, 2009), leaf area index (LAI) (Fang et al., 2012), fraction of absorbed photosynthetically active radiation (FAPAR) (D’Odorico et al.”
- Estimating error cross‐correlations in soil moisture data sets using extended collocation analysis (2016, background): “It is worth mentioning that even though only soil moisture data sets are considered in this study, EC is—just like TC—also applicable to other geophysical variables in hydrometeorology and oceanography [e.g., Vogelzang et al., 2011; Caires and Sterl, 2003; Roebeling et al., 2012; Fang et al., 2012].”
- Extended triple collocation: Estimating errors and correlation coefficients with respect to an unknown target (2014, background): “, 2014), leaf area index (Fang et al., 2012), and, particularly, soil moisture (Anderson et al.”