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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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Citations
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Journal ArticleDOI

Predicting leaf area index in wheat using angular vegetation indices derived from in situ canopy measurements

TL;DR: In this paper, a set of anisotropic vegetation indices (VIs) used in the estimation of LAI in the growth cycle of wheat were evaluated, and the results indicated that EVI was a better candidate than NDVI for LAI estimation in linearity.
Journal ArticleDOI

Seasonal prediction of in situ pasture macronutrients in New Zealand pastoral systems using hyperspectral data

TL;DR: In this paper, hyperspectral reflectance data between 350 and 2500nm were acquired from a number of dairy and sheep pasture canopies in New Zealand and were used to evaluate the ability of field remote sensing for predicting pasture macronutrients.
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Evaluation of Atmospheric Correction Methods in Identifying Urban Tree Species With WorldView-2 Imagery

TL;DR: Three atmospheric correction methods were evaluated in identifying urban tree species/groups with high-resolution WorldView-2 (WV2) imagery in the City of Tampa, FL, USA and it is demonstrated that the empirical line-based AC methods were relatively more effective than a radiative transfer- based AC model to atmospherically correct the image data.
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Nitrogen concentration estimation with hyperspectral LiDAR

TL;DR: In this article, the performance of the hyperspectral LiDAR instrument in nitrogen estimation was investigated by calculating 28 published vegetation indices to ten oat samples grown in different fertilization conditions.
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Sentinel-2 time series based optimal features and time window for mapping invasive Australian native Acacia species in KwaZulu Natal, South Africa

TL;DR: The use of Sentinel-2 time series spectral bands and vegetation indices has increased the understanding of Australian Acacia spectral dynamics, and proved that the sentinel-2 data is useful for characterization and monitoring Acacias over a large scale.
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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