Deriving leaf mass per area (LMA) from foliar reflectance across a variety of plant species using continuous wavelet analysis
By T. Cheng, Benoit Rivard, Arturo Sanchez-Azofeifa, Jean-Baptiste F'eret, Stephane Jacquemoud, Susan L. Ustin. 2014
127 citations recorded by the source corpus.
Subfields: Ecology, Global and Planetary Change, Plant Science
View Paper: https://www.semanticscholar.org/paper/3ea0cf8cac1b0f330a4b6c62332a8c917cb44908
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Citations in the corpus
- Multi-method ensemble selection of spectral bands related to leaf biochemistry (2015, unknown): “, 1992; Sims & Gamon, 2002), wavelet filtering (Blackburn & Ferwerda, 2008; Cheng et al., 2014), continuum removal approaches (Kokaly & Clark, 1999), and water removal for protein absorption features (Schlerf et al.”
- Using wavelet analysis of hyperspectral remote-sensing data to estimate canopy chlorophyll content of winter wheat under stripe rust stress (2018, background): “…(Sakamoto et al. 2005), image processing (Amolins, Zhang, and Dare 2007), biochemical and biophysical parameters estimation of vegetation (Pu and Gong 2004; Cheng et al. 2014a; Cheng, Riaño, and Ustin 2014b), and the disease severity estimation of vegetation (Zhang et al. 2014; Luo et al. 2013).”