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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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Citations
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Estimating leaf chlorophyll and nitrogen contents using active hyperspectral LiDAR and partial least square regression method

TL;DR: In this paper, the performance of the partial least square regression (PLSR) model using three strategies (only wavelength bands, only vegetation indices, and both wavelength bands and vegetation indices) was explored based on the correlation analysis of 16 wavelengths and 16 vegetation indices.
Journal ArticleDOI

Estimation of canopy nitrogen content in winter wheat from Sentinel-2 images for operational agricultural monitoring

TL;DR: In this article , a comparison of three established remote sensing methods to retrieve CNC was carried out: (1) look-up-table (LUT) inversion of the canopy reflectance model PROSAIL, (2) Partial Least Square Regression (PLSR) and (3) nitrogen-sensitive vegetation indices (VI).

Development of robust hyperspectral indices for the detection of deviations of normal plant state

TL;DR: In this article, a well-defined hyperspectral multi-layer dataset was constructed for a peach orchard in Zaragoza, Spain, consisting of measurements at various monitoring levels (leaf, crown, airborne).
Journal Article

Estimating water stressed dwarf green bean pigment concentration through hyperspectral indices

TL;DR: Results showed that under water stress, the chlorophyll and carotene contents of green bean leaves rose, and the Normalized Difference Pigment Chlorophyll Index (NPCI) and Normalized difference Vegetation Index (NDVI) had the highest correlations with thechlorophyll, andCarotene content of leaves.

Analysis on Optimal Bands for Retrieval of Mixed Canopy Chlorophyll Content Based on Remote Sensing

Abstract: A large number of spectral indices have been developed for estimation of leaf chlorophyll content. However, in most cases these indices have been tested for only one or at most a few related species and thus it is not clear whether they can be applied across species with varying leaf structure characteristics. The main objective of the study was to find spectral bands that are sensitive to variation in chlorophyll content and are relatively insensitive to species and leaf structure variation, and determine optimal wide bands range for retrieving chlorophyll content of mixed canopies that consist of diverse species, then develop wide bands based approach to retrieve chlorophyll content of mixed canopies. We analyzed the correlation between chlorophyll content and reflectance, the first derivative of reflectance using LOPEX93 database respectively. The results showed: (1) red edge spectral indices provided relatively good correlation with chlorophyll content when applied across a wide range of species; (2) the optimal band for estimation of chlorophyll content was found at 698-715nm range; (3) for the first derivative of reflectance, the optimal bands for estimation of chlorophyll content were at 720-735nm range and 535-550nm range. * GAO Yan-hua, A 11 Datun Road, Chaoyang District, Beijing, 100101 China (E-mail: gaoyh@igsnrr.ac.cn)
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.
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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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