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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

A Review of Terrestrial Carbon Assessment Methods Using Geo-Spatial Technologies with Emphasis on Arid Lands

TL;DR: Geo-spatial technologies are shown to be a valuable tool for estimating carbon sequestered especially in difficult and remote areas such as arid land, and the need for further work to fill the gaps and overcome limitations in using these emerging techniques for precision carbon management is high.
Journal ArticleDOI

Mapping urban forest tree species using IKONOS imagery: preliminary results.

TL;DR: To improve the tree species identification accuracy and achieve a practical application level in urban area, multi-temporal (multi-seasonal) or hyperspectral data image data should be considered for use in the future.
Journal ArticleDOI

Classifying California plant species temporally using airborne hyperspectral imagery

TL;DR: In this article, the authors evaluated the portability of image-based training data and accuracy of species discrimination using the HyspIRI spectroscopy data and linear discriminant analysis (LDA).
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Invasive Shrub Mapping in an Urban Environment from Hyperspectral and LiDAR-Derived Attributes.

TL;DR: This study shows the feasibility of producing highly accurate detection maps of plant invasions in urban environments using a fusion of remotely sensed data, as well as the ability to use these products to guide management decisions.
Journal ArticleDOI

Research Progress on the Early Monitoring of Pine Wilt Disease Using Hyperspectral Techniques

TL;DR: The trend of applying hyperspectral techniques to the monitoring of pine wilt disease is analyzed, and the corresponding strategies to address the existing technical problems are proposed, such as data collection of early warning stages, needs of using unmanned aerial vehicles (UAVs), and establishment of models after preprocessing.
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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