Green leaf area index estimation in maize and soybean: Combining vegetation indices to achieve maximal sensitivity

By Anthony L. Nguy-Robertson, Anatoly A. Gitelson, Yi Peng, Andrés Viña, Timothy J. Arkebauer, Donald Rundquist. 2012

280 citations recorded by the source corpus.

Subfields: Ecology, Environmental Engineering, Plant Science

View Paper: https://www.semanticscholar.org/paper/356b96230a44c8360bf5bdb5daf26ed4cd83aaca

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. Anatoly A. Gitelson
2. Arnon Karnieli
3. Ittai Herrmann
4. David J. Bonfil
5. Yi Peng
6. Donald Rundquist
7. Anthony L. Nguy-Robertson
8. A. Pimstein

In Environmental Engineering

1. Anatoly A. Gitelson
2. Arnon Karnieli
3. Ittai Herrmann
4. David J. Bonfil
5. Yi Peng
6. Anthony L. Nguy-Robertson
7. Donald Rundquist
8. A. Pimstein

In Plant Science

1. Anatoly A. Gitelson
2. Yi Peng
3. Donald Rundquist
4. Arnon Karnieli
5. Anthony L. Nguy-Robertson
6. Ittai Herrmann
7. David J. Bonfil
8. A. Pimstein

Citations in the corpus

• Estimating green LAI in four crops: Potential of determining optimal spectral bands for a universal algorithm (2014, methodology): “…CIred edge and MTCI ere shown to be capable of estimating crop total chlorophyll conent, green LAI, gross primary production and fraction of absorbed hotosynthetically active radiation in maize and soybean (Gitelon, 2003b; Viña et al., 2011; Nguy-Robertson et al., 2012; Peng nd Gitelson, 2012).”
• Extracting leaf area index using viewing geometry effects—A new perspective on high-resolution unmanned aerial system photography (2018, background): “…in dependence to the171 viewing geometry zenith angle θ as172 P0(θ ) = exp (−K(θ )LAIθ ) , (13) where LAIθ is the LAI estimation based on viewing geometry zenith angle effects, presuming a canopy173 consisting of a very large number of statistically independent horizontal layers (Nilson, 1971).”