Utilization of Spectral Indices for High-Throughput Phenotyping [PDF]
Plants, 2022 The conventional plant breeding evaluation of large sets of plant phenotypes with precision and speed is very challenging. Thus, consistent, automated, multifaceted, and high-throughput phenotyping (HTP) technologies are becoming increasingly significant
Rupesh Tayade +5 more
doaj +4 more sources
A standardized catalogue of spectral indices to advance the use of remote sensing in Earth system research [PDF]
Scientific Data, 2023 Spectral Indices derived from multispectral remote sensing products are extensively used to monitor Earth system dynamics (e.g. vegetation dynamics, water bodies, fire regimes).
David Montero +5 more
doaj +2 more sources
Potential application of spectral indices for olive water status assessment in (semi‐)arid regions: A case study in Khuzestan Province, Iran [PDF]
Plant Direct, 2023 Spectral indices can be used as fast and non‐destructive indicators of plant water status or stress. It is the objective of the present study to evaluate the feasibility of using several spectral indices including water index (WI) and normalized spectral
Azimeh Asgari +3 more
doaj +2 more sources
Lick Spectral Indices for Super Metal-rich Stars [PDF]
Publications of the Astronomical Society of the Pacific, 2001 The Lick Fe5015, Fe5270, Fe5335, Mgb and Mg2 indices are presented for 139 candidate SMR stars of different luminosity class studied in Malagnini et al. (2000). Evidence is found for a standard (i.e. [Mg/Fe]~0) Mg vs. Fe relative abundance.
A. Buzzoni +5 more
core +5 more sources
Spectral Indices of Stars at Super-solar Regime [PDF]
, 2001 We derived Lick narrow-band indices for 139 candidate super metal-rich stars of different luminosity class previously studied in Malagnini et al. (2000). Indices include Iron Fe50, Fe52, Fe53, and Magnesium Mgb and Mg2 features. By comparing observations
A Buzzoni +6 more
core +2 more sources
Combining the fractional order derivative and machine learning for leaf water content estimation of spring wheat using hyper-spectral indices [PDF]
Plant MethodsLeaf water content (LWC) is a vital indicator of crop growth and development. While visible and near-infrared (VIS–NIR) spectroscopy makes it possible to estimate crop leaf moisture, spectral preprocessing and multiband spectral indices have important ...
Zinhar Zununjan +5 more
doaj +2 more sources
SCORPIO-II: Spectral indices of weak Galactic radio sources [PDF]
Monthly Notices of the Royal Astronomical Society, 2017 In the next few years the classification of radio sources observed by the large surveys will be a challenging problem, and spectral index is a powerful tool for addressing it.
Agliozzo, C. +12 more
core +7 more sources
Machine‐Learning Spectral Indicators of Topology [PDF]
Advanced Materials, 2022 AbstractTopological materials discovery has emerged as an important frontier in condensed matter physics. While theoretical classification frameworks have been used to identify thousands of candidate topological materials, experimental determination of materials’ topology often poses significant technical challenges. X‐ray absorption spectroscopy (XAS)
Nina Andrejevic +9 more
openaire +6 more sources
SPECTRAL: AWESOME SPECTRAL INDICES DEPLOYED VIA THE GOOGLE EARTH ENGINE JAVASCRIPT API [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022 Spectral Indices derived from Remote Sensing (RS) data are widely used for characterizing Earth System dynamics. The increasing amount of spectral indices led to the creation of spectral indices catalogues, such as the Awesome Spectral Indices (ASI ...
D. Montero +4 more
doaj +1 more source
Exploring novel bands and key index for evaluating leaf equivalent water thickness in wheat using hyperspectra influenced by nitrogen. [PDF]
PLoS ONE, 2014 Leaf equivalent water thickness (LEWT) is an important indicator of crop water status. Effectively monitoring the water status of wheat under different nitrogen treatments is important for effective water management in precision agriculture.
Xia Yao +7 more
doaj +1 more source