Spectral sensing of foliar water conditions in two co-occurring conifer species: Pinus edulis and Ju

By Hugh C. Stimson, D. Breshears, Susan L. Ustin, Shawn C. Kefauver. 2005

205 citations recorded by the source corpus.

Subfields: Atmospheric Science, Ecology, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/b2ebc159ab90b833eac4e6206d6e9a2f3aad8f18

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Atmospheric Science

1. Gustau Camps-Valls
2. Jordi Muñoz-Marí
3. Gregory P. Asner
4. Scott V. Ollinger
5. C. van der Tol
6. Z. Malenovsky
7. Jan G. P. W. Clevers
8. Jon Atli Benediktsson

In Ecology

1. Jan G. P. W. Clevers
2. Z. Malenovsky
3. Jochem Verrelst
4. Gustau Camps-Valls
5. Gregory P. Asner
6. José F. Moreno
7. Scott V. Ollinger
8. Juan Pablo Rivera

In Global and Planetary Change

1. Jan G. P. W. Clevers
2. Z. Malenovsky
3. Jochem Verrelst
4. José F. Moreno
5. Gustau Camps-Valls
6. J. Gastellu‐Etchegorry
7. Peter R. J. North
8. Gregory P. Asner

Citations in the corpus

• Sources of variability in canopy reflectance and the convergent properties of plants. (2011, background): “…Mirik et al., 2005; González-Alonso et al., 2006), fractional vegetation cover (e.g. Rundquist, 2002; Nagler et al., 2004), foliar water potential (e.g. Stimson et al., 2005), and plant primary production (e.g. Tucker & Sellers, 1986; Burke et al., 1991; Paruelo et al., 1997), to name just a few.”
• Optical remote sensing and the retrieval of terrestrial vegetation bio-geophysical properties - A review (2015, methodology): “, 2012), foliar water condition (Stimson et al., 2005) and grassland biomass (Cho et al.”
• Characterizing canopy biochemistry from imaging spectroscopy and its application to ecosystem studies (2009, background): “Many empirical studies have evaluated water content algorithms based on analyses of leaf spectra, where leaves were measured in an integrating sphere or as a stack of foliage (Kokaly & Clark,1999; Sims & Gamon, 2003; Stimson et al., 2005; Yu et al., 2000).”
• Comparison of various modelling approaches for water deficit stress monitoring in rice crop through hyperspectral remote sensing (2019, methodology): “Although the remote sensing technique is widely used for timely detection of variations in the spectral response of plants to changing levels of plant water status over large areas (Peñuelas et al., 1997; Ustin et al., 1998; Pu et al., 2003; Stimson et al., 2005; Eitel et al., 2006), The multispectr”
• Quantifying Vegetation Biophysical Variables from Imaging Spectroscopy Data: A Review on Retrieval Methods (2018, background): “2015), foliar water condition (Stimson et al. 2005), plant stress (Sanches et al.”