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Journal ArticleDOI

Integrated narrow-band vegetation indices for prediction of crop chlorophyll content for application to precision agriculture

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TLDR
In this paper, a combined modeling and indices-based approach is presented to predict the crop chlorophyll content from remote sensing data while minimizing LAI (vegetation parameter) influence and underlying soil background effects.
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This article is published in Remote Sensing of Environment.The article was published on 2002-08-01. It has received 1516 citations till now. The article focuses on the topics: Enhanced vegetation index & Red edge.

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Journal ArticleDOI

Remotely assessing photosynthetic nitrogen use efficiency with in situ hyperspectral remote sensing in winter wheat.

TL;DR: In this paper, a nitrogen efficiency index (NEI) was developed to evaluate PNUE in winter wheat, which was obtained by integrating the reflectance at the red band (680 nm) into simple ratio index (SR (760,850)), to become a modified simple ratio (mSR ( 760,850,680)), then they added a floating coefficient [1.8 + (R680/R850)] to mSR(760, 850), and concluded that the new index was better related with PNE than previous VIs under different experimental conditions.
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Estimation of Gross Primary Productivity (GPP) Phenology of a Short-Rotation Plantation Using Remotely Sensed Indices Derived from Sentinel-2 Images

TL;DR: This study aimed to understand which vegetation indices (VIs) are an ideal proxy for describing phenology and interannual variability of Gross Primary Productivity (GPP) in short-rotation coppice (SRC) plantations and found that the MEdium Resolution Imaging Spectrometer (MERIS) Terrestrial Chlorophyll Index (MTCI) had the best fit with GPP phenology, as derived from eddy covariance measurements.
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Chlorophyll concentration mapping with MIVIS data to assess crown discoloration in the Ticino Park oak forest

TL;DR: In this article, the authors used MTCI (MERIS Terrestrial Chlorophyll Index) to estimate the total chlorophyll (a + b) concentration (Cab), a biochemical variable describing crown discoloration rate, to assess oak (Quercus robur L.) condition in the Ticino Regional Park.
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Assessing corn water stress using spectral reflectance

TL;DR: In this paper, the spectral reflectance data was used to monitor crop-water stress, thus helping save water by preventing over-irrigation and achieving desired crop yields, but some methods may be difficult for farmers to apply.
References
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Journal ArticleDOI

A soil-adjusted vegetation index (SAVI)

TL;DR: In this article, a transformation technique was presented to minimize soil brightness influences from spectral vegetation indices involving red and near-infrared (NIR) wavelengths, which nearly eliminated soil-induced variations in vegetation indices.
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Determination of accurate extinction coefficients and simultaneous equations for assaying chlorophylls a and b extracted with four different solvents: verification of the concentration of chlorophyll standards by atomic absorption spectroscopy

TL;DR: In this paper, the extinction coefficients for chlorophylls a and b in diethylether (Smith, J.H. and Benitez, A.V., eds.), used in this paper as primary standards, were verified by magnesium determination using atomic absorbance spectrophotometry.
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PROSPECT: A model of leaf optical properties spectra

TL;DR: In this paper, a radiative transfer model based on Allen's generalized plate model is proposed to represent the optical properties of plant leaves from 400 nm to 2500 nm, where spectral refractive index (n) and a parameter characterizing the leaf mesophyll structure (N) are used.
Book

Theory of Reflectance and Emittance Spectroscopy

TL;DR: In this article, the authors present a review of vector calculus and functions of a complex variable and Fraunhoffer diffraction by a circular hole, and a miscellany of bidirectional reflectances and related quantities.
Journal ArticleDOI

Estimating Corn Leaf Chlorophyll Concentration from Leaf and Canopy Reflectance

TL;DR: In this paper, a wide range of leaf chlorophyll levels were established in field-grown corn (Zea mays L.) with the application of 8 N levels: 0, 12.5%, 25, 50, 75, 100, 125, and 150% of the recommended rate.
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