PROCWT: Coupling PROSPECT with continuous wavelet transform to improve the retrieval of foliar chemistry from leaf bidirectional reflectance spectra

By Dong Li, T. Cheng, Min Jia, Kai Zhou, Ning Lu, Xia Yao, Yongchao Tian, Yan Zhu, W. Cao. 2018

90 citations recorded by the source corpus.

Subfields: Ecology, Plant Science

View Paper: https://www.semanticscholar.org/paper/0ee2aa4bebdbc3fb27390ab08818b39e197b64c0

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Ecology

1. Fabian Ewald Fassnacht
2. Teja Kattenborn
3. Sebastian Schmidtlein

In Plant Science

1. Fabian Ewald Fassnacht
2. Teja Kattenborn
3. Sebastian Schmidtlein

Citations in the corpus

• Differentiating plant functional types using reflectance: which traits make the difference? (2018, methodology): “The inversion of PROSPECT-D was performed using wavelet transformations and a look-up-table approach (Blackburn 2007; Blackburn and Ferwerda2008; Cheng et al. 2011; Ali et al. 2015; Li et al. 2018).”