Combined Spectral Index to Improve Ground‐Based Estimates of Nitrogen Status in Dryland Wheat
By J. Eitel, D. Long, Paul E. Gessler, E. Hunt. 2008
151 citations recorded by the source corpus.
Subfields: Ecology, Environmental Engineering, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/99c36052b64d2f43858fb3fdda99d809fa12390f
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Ecology
- Anatoly A. Gitelson
- Andrés Viña
- Yi Peng
- Donald Rundquist
- Anthony L. Nguy-Robertson
- Timothy J. Arkebauer
- Richard B. Ferguson
- John F. Shanahan
In Environmental Engineering
- Anatoly A. Gitelson
- Andrés Viña
- Yi Peng
- Anthony L. Nguy-Robertson
- Donald Rundquist
- Timothy J. Arkebauer
- Richard B. Ferguson
- John F. Shanahan
In Global and Planetary Change
Citations in the corpus
- Green leaf area index estimation in maize and soybean: Combining vegetation indices to achieve maximal sensitivity (2012, background): “The goal of these studies, however, was to remove the effect of LAI on the estimation of leaf chlorophyll content (Daughtry et al., 2000; Haboudane et al., 2002; Eitel et al., 2008, 2009); therefore, for this paper, that particular set of VIs was not considered for estimating gLAI.”
- A visible band index for remote sensing leaf chlorophyll content at the canopy scale (2013, methodology): “(2004) Combined index with MCARI Vis–RE–NIR MCARI/MTVI2 Eitel et al. (2007, 2008) Triangular greenness index Vis TGI −0.5[( r − b)(Rr − Rg) − ( r − g)(Rr − Rb)] Hunt et al. (2011)”
- Water and Nitrogen Effects on Active Canopy Sensor Vegetation Indices (2011, methodology): “Previous work by Eitel et al. (2008) investigated the impact of water availability and N stress on leaf area index (LAI) in wheat using a multispectral radiometer and a chlorophyll meter.”