Journal ArticleDOI
Detection of Red Edge Position and Chlorophyll Content by Reflectance Measurements Near 700 nm
TLDR
In this paper, high spectral resolution reflectance measurements were acquired for spring, summer and autumn maple and chestnut leaves covering a wide range of chlorophyll content and consistent and diagnostic differences in the red edge range (680-750 nm) of the reflectance spectrum were obtained for the various leaf samples of both species studied.About:
This article is published in Journal of Plant Physiology.The article was published on 1996-01-01. It has received 447 citations till now. The article focuses on the topics: Red edge & Chlorophyll.read more
Citations
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Journal ArticleDOI
Use of a green channel in remote sensing of global vegetation from EOS- MODIS
TL;DR: In this article, a green vegetation index, tailored on the concept of ARVI (Kaufman and Tanre, 1992), is developed and is expected to be as resistant to atmospheric effects as ARVI but more sensitive to a wide range of Chl-a concentrations.
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
TL;DR: 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.
Journal ArticleDOI
Comparing prediction power and stability of broadband and hyperspectral vegetation indices for estimation of green leaf area index and canopy chlorophyll density
Niels Broge,E Leblanc +1 more
TL;DR: In this paper, the authors used the combined PROSPECT+SAIL model to study the stability of recently proposed vegetation indices (VIs) derived from adjacent narrowband spectral reflectance data across the visible (VIS) and near infrared (NIR) region of the electromagnetic spectrum.
Journal ArticleDOI
Remote estimation of canopy chlorophyll content in crops
Anatoly A. Gitelson,Andrés Viña,Veronica S. Ciganda,Donald C. Rundquist,Timothy J. Arkebauer +4 more
TL;DR: In this paper, a conceptual model was applied for remotely estimating chlorophyll content in maize and soybean canopies, and the spectral regions were tuned to be included in the model, according to the optical characteristics of the crops studied.
Journal ArticleDOI
An evaluation of noninvasive methods to estimate foliar chlorophyll content
TL;DR: This article evaluated the performance of these optical methods, which are based on the absorbance or reflectance of certain wavelengths of light by intact leaves, and found that the reflectance indices that performed best were not those most commonly used in the literature.
References
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Book ChapterDOI
Chlorophylls and carotenoids: Pigments of photosynthetic biomembranes
TL;DR: In this article, the spectral characteristics and absorption coefficients of chlorophylls, pheophytins, and carotenoids were analyzed using a two-beam spectrophotometer.
Journal ArticleDOI
The red edge of plant leaf reflectance
TL;DR: In this paper, a detailed study of the red edge spectral feature of green vegetation based on laboratory reflectance spectrophotometry is presented, where a parameter lambda is defined as the wavelength is defined by the wavelength of maximum slope and found to be dependent on chlorophyll concentration.
Journal ArticleDOI
Spectral reflectance changes associated with autumn senescence of Aesculus hippocastanum L. and Acer platanoides L. leaves. Spectral features and relation to chlorophyll estimation
TL;DR: The signature analysis ofreflectance spectra indicated that in the green to yellow leaves of both species the maximal standard deviation of reflectance coincided with the red absorption maximum of Chl a .
Journal ArticleDOI
Ratio analysis of reflectance spectra (RARS): An algorithm for the remote estimation of the concentrations of chlorophyll A, chlorophyll B, and carotenoids in soybean leaves
TL;DR: In this article, an algorithm utilizing reflectance spectra bands in the photosynthetically active radiation (PAR) region of the solar spectrum was developed for the remote estimation of the concentrations of chlorophyll a, chlorophyck b, and carotenoids in soybeans.
Journal ArticleDOI
Signature Analysis of Leaf Reflectance Spectra: Algorithm Development for Remote Sensing of Chlorophyll
TL;DR: In this article, the spectral properties of plant leaves were investigated to develop spectral indices more sensitive to chlorophyll concentration than the presently widely used Notmalized Difference Vegetation Index.
Related Papers (5)
Relationships between leaf pigment content and spectral reflectance across a wide range of species, leaf structures and developmental stages
Daniel A. Sims,John A. Gamon +1 more