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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Book ChapterDOI
Using Remotely Sensed Imagery for Forest Resource Assessment and Inventory
TL;DR: The leaf area index (LAI) as mentioned in this paper measures the amount of leaf area, crown and canopy structure, phenology, and leaf optical properties of a forest stand, and is a key parameter of ecosystem processes.
Mapping tropical dry forest succession with chris - Proba hyperspectral images using non-parametric decissional trees
TL;DR: In this paper, the authors evaluated the accuracy of the Chris/Proba and non-parametric classification as tools to monitor the ecological succession processes in tropical dry forests in Brazil (Parque Estadual da Mata Seca, Minas Gerais).
Key attributes for monitoring and assessment of Australian forests: a land management perspective
Christoffer Axelsson,Simon D. Jones,Andrew Haywood,Lola Suarez,Phillip Wilkes,William Woodgate,Mariela Soto-Berelov,Andrew Mellor +7 more
TL;DR: The results of a web-based survey sent to people directly or indirectly involved in land management indicate their current needs in terms of key forest attributes necessary for efficient management, decision making, and for fulfilling reporting obligations.
Journal ArticleDOI
Influence of Field-Based Species Composition and Understory Descriptions on Spectral Mixture Analysis of Tree Species in the Northwest Territories, Canada
TL;DR: In this article, the authors used MESMA to identify the type and proportions of forest components (e.g., sunlit canopy, background vegetation, shadow) in remotely sensed imagery at the subpixel scale.
Dissertation
Télédétection par analyse de retours d’onde LiDAR et spectrométrie à hautes résolutions des espaces sensibles en environnement côtier
TL;DR: In this paper, the authors propose a method for the analysis of retours d'onde complets of a dune cotiere, in addition to l'estimation de l'elevation of the surface of the dune surface, in order to obtain the morphologie and dynamique of the constituants de the dunes.
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.