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
Mixed-Species Cover Crop Biomass Estimation Using Planet Imagery
Tulsi P. Kharel,Ammar B. Bhandari,Partson Mubvumba,Heather L. Tyler,Reginald S. Fletcher,Krishna N. Reddy +5 more
TL;DR: In this article , the authors used high-resolution (3 m) PlanetScope imagery (Dove satellite constellation with PS2.SD and PSB sensors) collected throughout the cover crop season from November to April in the 2021 and 2022 study cycles.
Journal ArticleDOI
Hiperspektralni senzori i primjena u šumarstvu
TL;DR: The first application of hyperspectral sensors in Croatian forestry relates to the European Community program of 2005, when the first imaging with a line hypersensor scanner was conducted as mentioned in this paper, where the spectral curves of Silver fir and White berried mistletoe were separated.
Book ChapterDOI
Hyperspectral and LiDAR data for the prediction via machine learning of tree species, volume and biomass: a possible contribution for updating forest management plans
D. F. Michelini,Michele Dalponte,A. Carriero,Erico Kutchart,Salvatore Pappalardo,M. De Marchi,Francesco Pirotti +6 more
TL;DR: In this paper , two supervised machine learning classifiers, K-Nearest Neighborhood (KNN) and Support Vector Machine (SVM), were used to identify the prevailing forest types and the delineation of forest units within private forest inventories in the Autonomous Province of Trento (PAT).
Book ChapterDOI
A Review on the Use of LiDAR Remote Sensing for Forest Landscape Restoration
TL;DR: In this paper , a review of the trends of forest landscape restoration and the use of LiDAR remote sensing technology to monitor forest restoration outcomes towards achieving sustainable forest management practices is presented.
Proceedings ArticleDOI
Differentiation of Tropical Tree Species with Leaf Measurements of Hyperspectral Reflectance
TL;DR: In this article , hyperspectral reflectance (310 to 1100 nm) was evaluated in six individuals per species (30 leaves per individual) in the rainy season, and the specific leaf area (SLA) and leaf thickness (LT) were evaluated.
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.