Estimation of leaf water content in cotton by means of hyperspectral indices

By Q. Yi, An-ming Bao, Qiang Wang, Jin Zhao. 2013

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A Review of Imaging Techniques for Plant Phenotyping (2014, methodology): “Multispectral and hyperspectral measurements are widely used to estimate the canopy water content as an indicator of water status, which uses the absorption bands in the infrared range to describe various water indices [100,147–149].”
Hyperspectral characterization of freezing injury and its biochemical impacts in oilseed rape leaves (2017, methodology): “…techniques used here has been applied to find the 525 optimal combination of wavebands using various types of spectral indices for estimating 526 leaf Chla, Chlb (Yu et al., 2014) and water content (Yi et al., 2013), and canopy biomass 527 and LAI (Thenkabail et al., 2000) from a number of species.”
Fusion of Feature Selection Methods and Regression Algorithms for Predicting the Canopy Water Content of Rice Based on Hyperspectral Data (2021, background): “According to previous studies, we utilized various VI, which are related with CWC including SB, WBI, NDVI, TBR, and SRI as shown in Table 2.”