Applicability of the PROSPECT model for estimating protein and cellulose + lignin in fresh leaves

By Zhihui Wang, Andrew K. Skidmore, Tiejun Wang, Roshanak Darvishzadeh, J. Hearne. 2015

119 citations recorded by the source corpus.

Subfields: Ecology, Global and Planetary Change, Plant Science

View Paper: https://www.semanticscholar.org/paper/625ca542b6a4938ed0834e88056b48bdc2c4f51d

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. Katja Berger
2. Jean-Baptiste F'eret
3. Florian de Boissieu
4. Z. Malenovsky

In Global and Planetary Change

1. Jean-Baptiste F'eret
2. Z. Malenovsky
3. Katja Berger

In Plant Science

1. Jean-Baptiste F'eret
2. Z. Malenovsky
3. Katja Berger

Citations in the corpus

• PROSPECT-PRO for estimating content of nitrogen-containing leaf proteins and other carbon-based constituents (2020, methodology): “, 1996) or showed limited accuracy in LMA predictions (Wang et al., 2015), the indirect estimation of LMA with PROSPECT-PRO, computed as the sum of proteins and CBC, revealed comparable performance with the direct estimation of LMA using PROSPECT-D, although its performance at high levels of LMA (> ”