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
Hyperspectral Tree Species Classification of Japanese Complex Mixed Forest With the Aid of Lidar Data
TL;DR: A methodology involving the combination of hyperspectral and LiDAR data for individual tree classification, which can be extended to areas of shadow caused by the illumination of tree crowns with sunlight, is proposed and found that both shadow correction and tree-crown information improve the classification performance.
Journal ArticleDOI
Measuring β-diversity by remote sensing: A challenge for biodiversity monitoring
Duccio Rocchini,Duccio Rocchini,Sandra Luque,Nathalie Pettorelli,Lucy Bastin,Daniel Doktor,Nicolò Faedi,Nicolò Faedi,Hannes Feilhauer,Jean-Baptiste Féret,Giles M. Foody,Yoni Gavish,Sérgio Godinho,William E. Kunin,Angela Lausch,Pedro J. Leitão,Pedro J. Leitão,Matteo Marcantonio,Markus Neteler,Carlo Ricotta,Sebastian Schmidtlein,Petteri Vihervaara,Martin Wegmann,Harini Nagendra +23 more
TL;DR: This manuscript is the first methodological example encompassing (and enhancing) most of the available methods for estimating beta-diversity from remotely sensed imagery and potentially relate them to species diversity in the field.
Journal ArticleDOI
Evaluating Sentinel-2 and Landsat-8 Data to Map Sucessional Forest Stages in a Subtropical Forest in Southern Brazil
TL;DR: Investigation of the performance of Sentinel-2 and Landsat-8 data for discriminating different successional forest stages of a patch located in a subtropical portion of the Atlantic Rain Forest in Southern Brazil with the aid of two machine learning algorithms and relying on the use of spectral reflectance data selected over two seasons.
Journal ArticleDOI
Wavelength selection and spectral discrimination for paddy rice, with laboratory measurements of hyperspectral leaf reflectance
TL;DR: In this article, the most sensitive wavelengths for the discrimination of the imperceptible spectral variations of paddy rice under different cultivation conditions were selected based on principal component analysis (PCA) and band-band correlation methods.
Journal ArticleDOI
Object-Based Crop Classification with Landsat-MODIS Enhanced Time-Series Data
TL;DR: This study investigated the synergistic use of feature selection, Object-Based Image Analysis (OBIA) segmentation and decision tree classification for cropland mapping using a finer temporal-resolution Landsat-MODIS Enhanced time series in 2007.
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.