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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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Remote sensing detection of nutrient uptake in vineyards using narrow-band hyperspectral imagery

TL;DR: In this paper, narrow-band vegetation indices were assessed as indicators of biochemical and structural parameters in Vitis vinifera L, observing their relationships with foliar variables such as N, P, K, Ca, Fe, Mg and chlorophyll a+b concentration.
Journal ArticleDOI

Narrow-band reflectance indices for mapping the combined effects of water and nitrogen stress in field grown tomato crops

TL;DR: In this paper, the use of reflectance indices for detecting the combined effects of water and nitrogen stress in tomatoes (Solanum lycopersicum L.) was assessed. And the results showed that the PRI550, PRIInorm, and WI were the most sensitive indices for distinguishing crop water stress, while RDVI, PRInorm and TCARI had the best correlation with nitrogen stress indicators.
Journal ArticleDOI

A Remote Sensed Data Combined Method for Sea Fog Detection

TL;DR: In this paper, a dual channel difference (DCD) approach using IR and shortwave IR channel of GOES-9 and MTSAT-1R satellites was applied to detect sea fog.
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Retrieval of cotton plant water content by UAV-based vegetation supply water index (VSWI)

TL;DR: In this paper, the authors monitor the plant water content (PWC) of a cotton crop non-destructively in situ, using a six-ban water content measurement method, which is used for precision irrigation of field crop.
Journal ArticleDOI

Development of spectral indices for identifying glyphosate-resistant weeds

TL;DR: A comparison between introduced SWIs in this study and previously published hyperspectral vegetation indices (VIs) indicated that the SWIs provided better agreement with real data in glyphosate-resistant weeds identification.
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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