Estimating green LAI in four crops: Potential of determining optimal spectral bands for a universal algorithm

By Anthony L. Nguy-Robertson, Yi Peng, Anatoly A. Gitelson, Timothy J. Arkebauer, A. Pimstein, Ittai Herrmann, Arnon Karnieli, Donald Rundquist, David J. Bonfil. 2014

160 citations recorded by the source corpus.

Subfields: Ecology, Global and Planetary Change, Plant Science

View Paper: https://www.semanticscholar.org/paper/e8fb5f748cf3282e6b79fef3445450f2c43cc6ed

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. Bastian Siegmann
2. Thomas Jarmer

In Global and Planetary Change

1. Bastian Siegmann
2. Thomas Jarmer

In Plant Science

1. Bastian Siegmann
2. Thomas Jarmer

Citations in the corpus

• Comparison of different regression models and validation techniques for the assessment of wheat leaf area index from hyperspectral data (2015, result): “This is in accordance with studies by Haboudane et al. (2004), Herrmann et al. (2011), and Nguy-Robertson et al. (2014), who also achieved better correlations between vegetation indices and LAI measurements using data of different phenological stages during the growing season.”