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
Distinguishing mangrove species with laboratory measurements of hyperspectral leaf reflectance
Le Wang,Wayne P. Sousa +1 more
TL;DR: In this paper, a study of mangrove leaf spectral reflectance at a study site on the Caribbean coast of Panama has been conducted, where Avicennia germinans, Laguncularia racemosa, and Rhizophora mangle.
Journal ArticleDOI
Review of the use of remote sensing for biomass estimation to support renewable energy generation
TL;DR: In this paper, the authors provide a comprehensive review of biomass assessment techniques using remote sensing in different environments and using different sensing techniques, and for each of these environments, reviews key work that has been undertaken and compares the techniques that have been the most successful.
Journal ArticleDOI
Three-dimensional forest reconstruction and structural parameter retrievals using a terrestrial full-waveform lidar instrument (Echidna®)
Xiaoyuan Yang,Xiaoyuan Yang,Alan H. Strahler,Crystal B. Schaaf,David L.B. Jupp,Tian Yao,Feng Zhao,Zhuosen Wang,Darius S. Culvenor,Glenn Newnham,Jenny Lovell,Ralph Dubayah,Curtis E. Woodcock,Wenge Ni-Meister +13 more
TL;DR: In this article, the Echidna® full-waveform terrestrial lidar was used to estimate tree structural parameters such as tree diameter at breast height, tree height, crown diameter, and stem count density (trees per hectare).
Journal ArticleDOI
Assessment of CNN-Based Methods for Individual Tree Detection on Images Captured by RGB Cameras Attached to UAVs
Anderson Aparecido dos Santos,José Marcato Junior,Marcio Santos Araujo,David Robledo Di Martini,Everton Castelão Tetila,Henrique Lopes Siqueira,Camila Aoki,Anette Eltner,Edson Takashi Matsubara,Hemerson Pistori,Hemerson Pistori,Raul Queiroz Feitosa,Veraldo Liesenberg,Wesley Nunes Gonçalves +13 more
TL;DR: Three state-of-the-art object detection methods were evaluated: Faster Region-based Convolutional Neural Network (Faster R-CNN), YOLOv3 and RetinaNet, and delivered average precision around 92% with an associated processing times below 30 miliseconds.
Journal ArticleDOI
A Review: Individual Tree Species Classification Using Integrated Airborne LiDAR and Optical Imagery with a Focus on the Urban Environment
Kepu Wang,Tiejun Wang,Xuehua Liu +2 more
TL;DR: It is concluded that combining LiDAR data in urban tree species identification could achieve better classification accuracy than using either dataset individually, and that such improvements are mainly due to finer segmentation, shadowing effect reduction, and refinement of classification rules based onLiDAR.
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.