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.read more
Citations
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Journal ArticleDOI
Mobile Terrestrial Photogrammetry for Street Tree Mapping and Measurements
John W. Roberts,Andrew K. Koeser,Amr Abd-Elrahman,Benjamin E. Wilkinson,Gail Hansen,Shawn M. Landry,Ali Perez +6 more
TL;DR: The mobile photogrammetric system used in this study to create georeferenced models for measuring stem diameters and mapping tree positions can also be potentially expanded for more wide-scale applications related to tree inventory and monitoring of roadside infrastructure.
Journal ArticleDOI
Major forests and plant species discrimination in Mudumalai forest region using airborne hyperspectral sensing
Bodi Surya Pratap Chandra Kishore,Amit Kumar,Amit Kumar,Purabi Saikia,Purabi Saikia,Nikhil Lele,Arvind Chandra Pandey,Parul Srivastava,Bimal K. Bhattacharya,Mohamed Latif Khan,Mohamed Latif Khan +10 more
TL;DR: In this article, the authors focused on forest types classification, and major plant species assemblages in Mudumalai forests region utilizing Airborne Visible/Infrared Imaging Spectrometer Next Generation (AVIRIS-NG).
Journal ArticleDOI
Discriminating trees species from the relationship between spectral reflectance and chlorophyll contents of mangrove forest in Malaysia
TL;DR: In situ spectral signatures of 19 mangrove species were measured by using a handheld spectroradiometer and the reflectance data was analyzed using one-way ANOVA to identify bands that exhibit significant difference (at 99.99% level) across the mangroves species as mentioned in this paper.
Book ChapterDOI
Kubelka-Munk Theory
TL;DR: In this article, the authors present the fundamentals of the K-M theory, spectral extension, cellular extension, and a unified global theory, which is based on light absorption and partial scattering, assuming that there are only two light channels traveling in opposite directions.
Book ChapterDOI
Localisation of Biomass Potentials
TL;DR: The aim of this chapter is to provide an overview of methods of estimating woody biomass from inventory information.
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.
Journal ArticleDOI
Pattern Classification and Scene Analysis.
Book
Pattern classification and scene analysis
Richard O. Duda,Peter E. Hart +1 more
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.
Journal ArticleDOI
Extinction risk from climate change
Chris D. Thomas,Alison Cameron,Rhys E. Green,Rhys E. Green,Michel Bakkenes,Linda J. Beaumont,Yvonne C. Collingham,Barend F.N. Erasmus,Marinez Ferreira de Siqueira,Alan Grainger,Lee Hannah,Lesley Hughes,Brian Huntley,Albert S. van Jaarsveld,Guy F. Midgley,Lera Miles,Lera Miles,Miguel A. Ortega-Huerta,A. Townsend Peterson,Oliver L. Phillips,Stephen E. Williams +20 more
TL;DR: Estimates of extinction risks for sample regions that cover some 20% of the Earth's terrestrial surface show the importance of rapid implementation of technologies to decrease greenhouse gas emissions and strategies for carbon sequestration.