Journal ArticleDOI
Integrated narrow-band vegetation indices for prediction of crop chlorophyll content for application to precision agriculture
D. Haboudane,John R. Miller,John R. Miller,Nicolas Tremblay,Pablo J. Zarco-Tejada,Louise Dextraze +5 more
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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.About:
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.read more
Citations
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Detection and discrimination of various oil-contaminated soils using vegetation reflectance.
Guillaume Lassalle,Guillaume Lassalle,Sophie Fabre,Anthony Credoz,Rémy Hédacq,Pierre Borderies,Georges Bertoni,Thierry Erudel,Evelyne Buffan-Dubau,Dominique Dubucq,Arnaud Elger +10 more
TL;DR: This study provided better understanding of vegetation spectral response to oil mixtures and opens up promising perspectives for future applications.
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Maize Crop Coefficient Estimated from UAV-Measured Multispectral Vegetation Indices
TL;DR: Overall, use of the UAV-measured multispectral vegetation index approach could improve water management at the farm scale.
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Photosynthetic bark: Use of chlorophyll absorption continuum index to estimate Boswellia papyrifera bark chlorophyll content
TL;DR: It is concluded that B. papyrifera bark chlorophyll content can be reliably estimated using the chlorophyLL absorption continuum index analysis.
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A hybrid method combining SOM-based clustering and object-based analysis for identifying land in good agricultural condition
TL;DR: Performance analysis on three test zones indicates that for the basic land cover categories, the proposed SOM+OBIA method achieves an identification accuracy comparable to the accuracy of the traditional interactive object oriented analysis, with considerably less user interaction.
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.