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
Potential of remote sensing to predict species invasions A modelling perspective
Duccio Rocchini,Verónica Andreo,Michael Förster,Carol X. Garzon-Lopez,Andrew Paul Gutierrez,Thomas W. Gillespie,Heidi C. Hauffe,Kate S. He,Birgit Kleinschmit,Paola Mairota,Matteo Marcantonio,Markus Metz,Harini Nagendra,Sajid Pareeth,Luigi Ponti,Carlo Ricotta,Annapaola Rizzoli,Gertrud Schaab,Marc Zebisch,R. Zorer,Markus Neteler +20 more
TL;DR: The aim of this article is to review recent efforts in the predictive modelling of the spread of both plant and animal invasive species using remote sensing, and to stimulate debate on the potential use of remote sensing in biological invasion monitoring and forecasting.
Journal ArticleDOI
Spectroscopic classification of tropical forest species using radiative transfer modeling
TL;DR: In this article, a study was conducted to classify humid tropical forest canopy species using field-measured leaf optical properties with leaf and canopy radiative transfer models, and the experimental dataset included 188 canopy species collected in humid tropical forests of Hawaii.
Journal ArticleDOI
Remote sensing to detect plant stress induced by Heterodera schachtii and Rhizoctonia solani in sugar beet fields
TL;DR: The characteristically clustered occurrence and low level of mobility of Heterodera schachtii and Rhizoctonia solani in the soil and the induction of stress symptoms in the sugar beet canopy make them ideal targets for site-specific arrangements with precision agriculture tools.
Journal ArticleDOI
Individual tree detection and species classification of Amazonian palms using UAV images and deep learning
Matheus Pinheiro Ferreira,Danilo Roberti Alves de Almeida,Daniel de Almeida Papa,Juliano Baldez Silva Minervino,Hudson Franklin Pessoa Veras,Arthur Formighieri,Caio Alexandre Nascimento Santos,Marcio Aurélio Dantas Ferreira,Evandro Orfanó Figueiredo,Evandro José Linhares Ferreira +9 more
TL;DR: In this article, the authors developed a method to map Amazonian palm species at the individual tree crown (ITC) level using RGB images acquired by a low-cost unmanned aerial vehicle (UAV).
Journal ArticleDOI
Tree Species Classification in a Highly Diverse Subtropical Forest Integrating UAV-Based Photogrammetric Point Cloud and Hyperspectral Data
Camile Sothe,Michele Dalponte,Cláudia Maria de Almeida,Marcos Benedito Schimalski,Carla Luciane Lima,Veraldo Liesenberg,Gabriela Takahashi Miyoshi,Antonio Maria Garcia Tommaselli +7 more
TL;DR: The SVM method proved to be a good classifier for the tree species recognition task, even in the presence of a high number of classes and a small dataset.
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.