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
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Leaf Optical Properties
TL;DR: This book reviews the state-of-the-art research on leaf optics, providing the necessary foundations in physics, chemistry and biology to make the context accessible to readers from various subject backgrounds.
Journal ArticleDOI
Field Spectroscopy in the VNIR-SWIR Region to Discriminate between Mediterranean Native Plants and Exotic-Invasive Shrubs Based on Leaf Tannin Content
TL;DR: A spectra-based classification model of the different plant species was calculated using a principal component analysis-linear discriminant analysis (PCA-LDA) and the best prediction of A. longifolia was achieved by using wavelength regions between 1360–1450 nm and 1630–1740 nm, resulting in a user’s accuracy of 98.9%.
Journal ArticleDOI
Tree species mapping with Airborne hyper-spectral MIVIS data: the Ticino Park study case
TL;DR: In this article, the spatial distribution of tree forest communities in the Ticino Park located in Northern Italy is mapped using MIVIS data collected from 10 overlapping airborne runs of the Multispectral Infrared Visible Imaging Spectrometer (MIVIS).
Journal ArticleDOI
Applying Fully Convolutional Architectures for Semantic Segmentation of a Single Tree Species in Urban Environment on High Resolution UAV Optical Imagery
Daliana Lobo Torres,Raul Queiroz Feitosa,P. N. Happ,Laura Elena Cué La Rosa,José Marcato Junior,Jose Martins,Patrik Olã Bressan,Wesley Nunes Gonçalves,Veraldo Liesenberg +8 more
TL;DR: Five deep fully convolutional networks are proposed and evaluated for the semantic segmentation of a single tree species: SegNet, U-Net, FC-DenseNet, and two DeepLabv3+ variants, and the benefits of fully connected conditional random fields (CRFs) as a post-processing step to improve the segmentation maps are verified.
Journal ArticleDOI
Mapping Species Composition of Forests and Tree Plantations in Northeastern Costa Rica with an Integration of Hyperspectral and Multitemporal Landsat Imagery
Matthew E. Fagan,Ruth DeFries,Steven E. Sesnie,J. Pablo Arroyo-Mora,Carlomagno Soto,Aditya Singh,Philip A. Townsend,Robin L. Chazdon +7 more
TL;DR: To analyze recent tree plantation expansion in northeastern Costa Rica, the potential of combining moderate-resolution hyperspectral imagery with multitemporal, multispectral data (Landsat) to accurately classify tree plantations by species composition was examined.
References
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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.