Journal ArticleDOI
Estimating Corn Leaf Chlorophyll Concentration from Leaf and Canopy Reflectance
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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.About:
This article is published in Remote Sensing of Environment.The article was published on 2000-11-01. It has received 1861 citations till now. The article focuses on the topics: Red edge & Leaf area index.read more
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Journal ArticleDOI
Hyperspectral vegetation indices and novel algorithms for predicting green LAI of crop canopies: Modeling and validation in the context of precision agriculture
D. Haboudane,John R. Miller,John R. Miller,Elizabeth Pattey,Pablo J. Zarco-Tejada,Ian B. Strachan +5 more
TL;DR: In this paper, a method for minimizing the effect of leaf chlorophyll content on the prediction of green LAI was presented, and new algorithms that adequately predict the LAI of crop canopies.
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
Twenty five years of remote sensing in precision agriculture: Key advances and remaining knowledge gaps
TL;DR: A variety of spectral indices now exist for various precision agriculture applications, rather than a focus on only normalised difference vegetation indices as discussed by the authors, and the spectral bandwidth has decreased dramatically with the advent of hyperspectral remote sensing, allowing improved analysis of specific compounds, molecular interactions, crop stress, and crop biophysical or biochemical characteristics.
Journal ArticleDOI
Significant remote sensing vegetation indices: A review of developments and applications
Jinru Xue,Baofeng Su +1 more
TL;DR: The spectral characteristics of vegetation are introduced and the development of VIs are summarized, discussing their specific applicability and representativeness according to the vegetation of interest, environment, and implementation precision.
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Thermal and Narrowband Multispectral Remote Sensing for Vegetation Monitoring From an Unmanned Aerial Vehicle
TL;DR: The ability to generate quantitative remote sensing products by means of a helicopter-based UAV equipped with inexpensive thermal and narrowband multispectral imaging sensors is demonstrated, demonstrating comparable estimations, if not better, than those obtained by traditional manned airborne sensors.
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
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.
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
Optimization of soil-adjusted vegetation indices
TL;DR: In this paper, the sensitivity of the normalized difference vegetation index (NDVI) to soil background and atmospheric effects has generated an increasing interest in the development of new indices, such as the soil adjusted vegetation index, transformed soil-adjusted vegetation index and atmospheric resistant vegetation index.
Journal ArticleDOI
Potentials and limits of vegetation indices for LAI and APAR assessment
Frédéric Baret,G. Guyot +1 more
TL;DR: In this article, the potentials and limits of different vegetation indices are discussed using the normalized difference (NDVI), perpendicular vegetation index (PVI), soil adjusted vegetation index, and transformed SAVI.