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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Comparison between back propagation neural network and regression models for the estimation of pigment content in rice leaves and panicles using hyperspectral data
TL;DR: In this article, back propagation neural network (BPN) models, a kind of artificial neuron network (ANN), and multivariate linear regression models (MLR) were trained and tested.
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Improving in-season estimation of rice yield potential and responsiveness to topdressing nitrogen application with Crop Circle active crop canopy sensor
Qiang Cao,Qiang Cao,Yuxin Miao,Jianning Shen,Weifeng Yu,Fei Yuan,Shanshan Cheng,Shanyu Huang,Shanyu Huang,Hongye Wang,Wen Yang,Fengyan Liu +11 more
TL;DR: In this paper, a three-band Crop Circle ACS-470 active sensor with green, red edge, and NIR bands was used to collect rice canopy reflectance data at different key growth stages.
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Assessment of durum wheat yield using visible and near-infrared reflectance spectra of canopies
TL;DR: In this article, the suitability of the visible and near-infrared reflectance spectrum of the canopy for the assessment of grain yield in a set of durum wheat genotypes was investigated.
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Detection of multi-tomato leaf diseases (late blight, target and bacterial spots) in different stages by using a spectral-based sensor.
TL;DR: Investigation of the feasibility of detecting multi-diseased tomato leaves in different stages found that late stage leaves could be distinguished more easily than the two other disease categories caused by similar symptoms on the multi-Diseased leaves.
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Using High-Resolution Hyperspectral and Thermal Airborne Imagery to Assess Physiological Condition in the Context of Wheat Phenotyping
TL;DR: This study demonstrates the use of narrow-band indicators of stress as a potential tool for phenotyping under rainfed conditions using two airborne datasets acquired over a wheat experiment with 150 plots comprising two species and 50 varieties.
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.