Journal ArticleDOI
Estimation of vegetation LAI from hyperspectral reflectance data : Effects of soil type and plant architecture
TLDR
The study confirmed that the spectral contrast between leaves and soil background determines the strength of the LAI–reflectance relationship, and suggested that some kind of landscape stratification is required before using hyperspectral imagery for large-scale mapping of vegetation biophysical variables.About:
This article is published in International Journal of Applied Earth Observation and Geoinformation.The article was published on 2008-09-01. It has received 140 citations till now. The article focuses on the topics: Enhanced vegetation index & Vegetation.read more
Citations
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Journal ArticleDOI
Multispectral and hyperspectral remote sensing for identification and mapping of wetland vegetation: a review
TL;DR: In this paper, the authors provide an overview on the status of remote sensing applications in discriminating and mapping wetland vegetation, and estimating some of the biochemical and biophysical parameters of the vegetation.
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Evaluation of Sentinel-2 red-edge bands for empirical estimation of green LAI and chlorophyll content.
TL;DR: It is found that these new Sentinel-2 bands significantly improve the accuracy of Ch estimation, and the recently developed “Normalized Area Over reflectance Curve” (NAOC), an index that derives Ch from hyperspectral data, was studied on its compatibility with simulated Sentinel- 2 data.
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Status and future of laser scanning, synthetic aperture radar and hyperspectral remote sensing data for forest biomass assessment
TL;DR: A review of the latest developments in different fields of remote sensing for forest biomass mapping is presented in this article, where the authors focus on the potential of advanced remote sensing techniques to assess forest biomass.
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A red-edge spectral index for remote sensing estimation of green LAI over agroecosystems
TL;DR: In this article, a robust alternative has been proposed for the estimation of green LAI over a wide variety of crop types using data from European Space Agency (ESA) campaigns SPARC 2003 and 2004 (Barrax, Spain) experimental LAI values over 9 different crop types have been collected while at the same time spaceborne imagery have been acquired using the hyperspectral CHRIS (Compact High Resolution Imaging Spectrometer) sensor onboard PROBA (Project for On-Board Autonomy) satellite.
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Comparative analysis of three chemometric techniques for the spectroradiometric assessment of canopy chlorophyll content in winter wheat
TL;DR: In this paper, the authors evaluated three different chemometric techniques specifically designed to deal with redundant (and small) data sets, including principal component regression (PCR), partial least square regression (PLSR), and a widely used 2-band vegetation index (NDVI) as a baseline approach.
References
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Journal ArticleDOI
Smoothing and Differentiation of Data by Simplified Least Squares Procedures.
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A Leisurely Look at the Bootstrap, the Jackknife, and Cross-Validation
Bradley Efron,Gail Gong +1 more
TL;DR: This paper reviewed the nonparametric estimation of statistical error, mainly the bias and standard error of an estimator, or the error rate of a prediction rule, at a relaxed mathematical level, omitting most proofs, regularity conditions and technical details.
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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.
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Relationships between leaf chlorophyll content and spectral reflectance and algorithms for non-destructive chlorophyll assessment in higher plant leaves
TL;DR: Spectral reflectance of maple, chestnut, wild vine and beech leaves in a wide range of pigment content and composition was investigated and it was shown that reciprocal reflectance (R lambda)-1 in the spectral range lambda related closely to the total chlorophyll content in leaves of all species.
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Spectral Properties of Plants
TL;DR: The spectral properties of plant leaves and stems have been obtained for ultraviolet, visible, and infrared frequencies as discussed by the authors, including reflectance, transmittance, and absorptance for certain plants.