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Journal ArticleDOI

Hyperspectral discrimination of tropical rain forest tree species at leaf to crown scales

TLDR
In this paper, the authors investigated the utility of high spectral and spatial resolution imagery for the automated species-level classification of individual tree crowns (ITCs) in a tropical rain forest (TRF).
About
This article is published in Remote Sensing of Environment.The article was published on 2005-06-30. It has received 714 citations till now. The article focuses on the topics: Multispectral pattern recognition & Hyperspectral imaging.

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Citations
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Journal ArticleDOI

Semi-Supervised Hyperspectral Subspace Learning Based on a Generalized Eigenvalue Problem for Regression and Dimensionality Reduction

TL;DR: The proposed semi-supervised regression and dimensionality reduction methods for hyperspectral subspace learning that utilize abundant unlabeled data and a small number of labeled data demonstrate much better performances in terms of both regression anddimensionality reduction than the alternative supervised and unsupervised methods.
Journal ArticleDOI

Valuation of growing stock using multisource GIS data, a stem quality database, and bucking simulation

TL;DR: A method is presented here for assessing the value of harvestable timber stands based on their product yield and can estimate WPC for pulpwood and sawlogs with root mean squared errors of 32.7% and 38.5%, respectively, relative to extensive field measurements.
Journal ArticleDOI

Assessing the Effect of Seasonality on Leaf and Canopy Spectra for the Discrimination of an Alien Tree Species, Acacia Mearnsii , From Co-Occurring Native Species Using Parametric and Nonparametric Classifiers

TL;DR: The results of this paper suggest that phenology plays a crucial role in discriminating between A. mearnsii and sampled species and showed the potential of RS to discriminate between the tree and co-occurring plant species.
Journal ArticleDOI

Foliar sampling with an unmanned aerial system (UAS) reveals spectral and functional trait differences within tree crowns1

TL;DR: In this paper, the best approach for continuously mapping forest canopy traits, which is important for ecosystem and biodiversity assessments, is presented. But, the model is trained with tracer-based models.
Journal ArticleDOI

Assessing productivity of vegetation in the Amazon using remote sensing and modelling

TL;DR: In this paper, the authors analyse the following strategies used to assess productivity of vegetation: (1) measuring LAI and fPAR; (2) calculating band ratios representing soil and vegetation stresses; and (3) modelling net primary productivity.
References
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Book

Using multivariate statistics

TL;DR: In this Section: 1. Multivariate Statistics: Why? and 2. A Guide to Statistical Techniques: Using the Book Research Questions and Associated Techniques.
Book

Pattern classification and scene analysis

TL;DR: In this article, a unified, comprehensive and up-to-date treatment of both statistical and descriptive methods for pattern recognition is provided, including Bayesian decision theory, supervised and unsupervised learning, nonparametric techniques, discriminant analysis, clustering, preprosessing of pictorial data, spatial filtering, shape description techniques, perspective transformations, projective invariants, linguistic procedures, and artificial intelligence techniques for scene analysis.
Journal ArticleDOI

A new method for non-parametric multivariate analysis of variance

TL;DR: In this article, a non-parametric method for multivariate analysis of variance, based on sums of squared distances, is proposed. But it is not suitable for most ecological multivariate data sets.
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