Detecting drought status and LAI of two Quercus species canopies using derivative spectra
By Junichi Imanishi, Kayoko Sugimoto, Yukihiro Morimoto. 2004
61 citations recorded by the source corpus.
Subfields: Ecology, Global and Planetary Change, Plant Science
View Paper: https://www.semanticscholar.org/paper/97336102bfee2a1e520e1526e65695e67edcf630
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Ecology
- Roshanak Darvishzadeh
- Andrew K. Skidmore
- Clement Atzberger
- Chaichoke Vaiphasa
- A. Abkar
- Jochem Verrelst
- José F. Moreno
- Jan G. P. W. Clevers
In Global and Planetary Change
In Plant Science
- Andrew K. Skidmore
- Clement Atzberger
- Roshanak Darvishzadeh
- A. Abkar
- Jochem Verrelst
- José F. Moreno
- George Alan Blackburn
Citations in the corpus
- Remote sensing techniques for mangrove mapping (2006, background): “For example, image processing of remotely sensed imagery for accurate plant biophysical studies (Bruce and Li, 2001; Zarco-Tejada et al., 2001; Imanishi et al., 2004; le Maire et al., 2004; Meroni et al., 2004) and vegetation discrimination and classification (Tsai and Philpot, 2002; Hochberg and At”
- Leaf Area Index derivation from hyperspectral vegetation indicesand the red edge position (2009, background): “Imanishi et al. (2004) found that REIP was neither a good indicator of drought status nor of LAI for two tree species, Quercus glauca and Quercus serrata.”
- Fusion of Feature Selection Methods and Regression Algorithms for Predicting the Canopy Water Content of Rice Based on Hyperspectral Data (2021, background): “As to [23], there is a strong correlation between near-infrared spectral indices and crop water content.”