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
Segmented canonical discriminant analysis of in situ hyperspectral data for identifying 13 urban tree species
Ruiliang Pu,Desheng Liu +1 more
TL;DR: In this article, three different techniques, segmented canonical discriminant analysis (CDA), segmented principal component analysis (PCA), and segmented stepwise discriminate analysis (SDA), were applied and compared for dimension reduction and feature extraction.
Journal ArticleDOI
Decision Fusion Based on Hyperspectral and Multispectral Satellite Imagery for Accurate Forest Species Mapping
TL;DR: This study investigates the effectiveness of combining multispectral very high resolution (VHR) and hyperspectral satellite imagery through a decision fusion approach, for accurate forest species mapping, and finds its accuracy was significantly higher than alternative multisource fusion approaches, although the latter are characterized by much higher computation, storage, and time requirements.
Journal ArticleDOI
Twenty‐first century remote sensing technologies are revolutionizing the study of tropical forests
Arturo Sanchez-Azofeifa,Jose Antonio Guzmán,Carlos A. Campos,Saulo Castro,Virginia Garcia-Millan,Joanne Nightingale,Cassidy Rankine +6 more
TL;DR: In this article, the authors review some of the challenges that the fields of tropical biology and conservation face during the first quarter of the twenty-first century from the perspective of various remote sensing technologies, and discuss the transformations that they may bring to these disciplines.
Journal ArticleDOI
Large area cropland extent mapping with Landsat data and a generalized classifier.
A Phalke,Mutlu Ozdogan +1 more
TL;DR: A generalized image classifier to map cropland extent is reported on, which builds a classification model using training data from one location and time period, applied to other times and locations without the need for additional training data, suggesting the generalization/signature extension framework has a great potential for rapid identification and mapping of croplands with reasonable accuracies over large areas.
Journal ArticleDOI
Combining QuickBird, LiDAR, and GIS topography indices to identify a single native tree species in a complex landscape using an object-based classification approach
TL;DR: The research findings demonstrate how the combining of LiDAR and spectral data improves classification for Pohutukawa 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.