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
Retrieval of vertical LAI profiles over tropical rain forests using waveform lidar at La Selva, Costa Rica
Hao Tang,Ralph Dubayah,Anu Swatantran,Michelle Hofton,Sage Sheldon,David B. Clark,Bryan Blair +6 more
TL;DR: In this paper, the vertical and spatial distributions of leaf area index (LAI) over the tropical rain forest of La Selva Biological Station in Costa Rica were mapped using waveform lidar.
Journal ArticleDOI
Discrimination of tropical forest types, dominant species, and mapping of functional guilds by hyperspectral and simulated multispectral Sentinel-2 data
Gaia Vaglio Laurin,Gaia Vaglio Laurin,Nicola Puletti,William D. Hawthorne,Veraldo Liesenberg,Piermaria Corona,Dario Papale,Qi Chen,Riccardo Valentini,Riccardo Valentini +9 more
TL;DR: In this article, the authors proposed the functional guilds mapping approach to monitor compositional changes of tropical forests, especially with respect to the effects of global climate change on forests, and particularly in the tropical biome where the occurrence of hundreds of species prevents mapping activities at species level.
Journal ArticleDOI
Comparison of Feature Reduction Algorithms for Classifying Tree Species With Hyperspectral Data on Three Central European Test Sites
Fabian Ewald Fassnacht,Carsten Neumann,Michael Förster,Henning Buddenbaum,Aniruddha Ghosh,Anne Clasen,Pawan Kumar Joshi,Barbara Koch +7 more
TL;DR: A number of classification approaches were compared to classify tree species from airborne hyperspectral data across three forest sites to identify a single approach which continuously delivers high classification performances over all test sites and found that SVM wrapper and the GA slightly outperformed the PLS-based algorithm.
Journal ArticleDOI
Species-Level Differences in Hyperspectral Metrics among Tropical Rainforest Trees as Determined by a Tree-Based Classifier
Matthew L. Clark,Dar A. Roberts +1 more
TL;DR: A method to classify seven tropical rainforest tree species from full-range hyperspectral data acquired at tissue, pixel and crown scales using laboratory and airborne sensors and used the Random Forests tree-based classifier to discriminate species with minimally-correlated, importance-ranked metrics.
Journal ArticleDOI
Improving Discrimination of Savanna Tree Species Through a Multiple-Endmember Spectral Angle Mapper Approach: Canopy-Level Analysis
Moses Azong Cho,Pravesh Debba,Renaud Mathieu,Laven Naidoo,J. A. N. van Aardt,Gregory P. Asner +5 more
TL;DR: Evaluating the classification performance of a multiple-endmember spectral angle mapper (SAM) classification approach in discriminating ten common African savanna tree species found higher overall classification accuracies were observed for evergreen trees than for deciduous trees.
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.