A PRI-based water stress index combining structural and chlorophyll effects: Assessment using diurnal narrow-band airborne imagery and the CWSI thermal index

By Pablo J. Zarco-Tejada, V. González-Dugo, L. Williams, Lola Suárez, J. Berni, D. Goldhamer, Elías Fereres. 2013

291 citations recorded by the source corpus.

Subfields: Ecology, Global and Planetary Change, Plant Science

View Paper: https://www.semanticscholar.org/paper/89c5af6c91a59b87f110fc3d0fcfed936a259c11

How researchers see this paper

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

In Ecology

In Global and Planetary Change

In Plant Science

Citations in the corpus

Estimating crop chlorophyll content with hyperspectral vegetation indices and the hybrid inversion method (2016, background): “A large number of studies showed that the PRI can be used to assess plant stress and estimate plant physiological parameters, such as light use efficiency (Nakaji, Oguma, and Fujinuma 2006; Suarez et al. 2008; Filella et al. 2009; Garbulsky et al. 2011; Zarco-Tejada et al. 2013; Mand et al. 2010).”
Combining leaf physiology, hyperspectral imaging and partial least squares-regression (PLS-R) for grapevine water status assessment (2015, background): “Results from the first greenhouse experiment suggest that water stress-induced variation in Wl, gs and NPQ is best explained by combining the reflectance decrease at 530–550 nm (e.g., Evain et al., 2004; Zarco-Tejada et al., 2013) with the opposed increase around 1500 nm (e.”
Intercomparison of UAV, Aircraft and Satellite Remote Sensing Platforms for Precision Viticulture (2015, methodology): “This procedure can be easily performed starting from UAV images by mean of establishing a region of interest (ROI) in the center of each vine row with a canopy buffer width [25].”
Significant Remote Sensing Vegetation Indices: A Review of Developments and Applications (2017, methodology): “Another index evaluated by Zarco-Tejada et al. (2013) was the PRInorm, which is an improvement of the Photochemical Re ectance Index (PRI). is index considers xanthophyll changes related to water stress but also generates a normalization considering chlorophyll content and canopy leaf area…”
Discrimination between abiotic and biotic drought stress in tomatoes using hyperspectral imaging (2018, background): “Some of the identified spectral bands are known to be related to certain physiological variables, which indicate drought stress, in many plant species [60].”
Quantitative Remote Sensing at Ultra-High Resolution with UAV Spectroscopy: A Review of Sensor Technology, Measurement Procedures, and Data Correction Workflows (2018, methodology): “In addition, self-built multi-camera spectral 2D systems have been used to identify water stress [57] as well as crop biomass and nitrogen content [58].”