scispace - formally typeset
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.

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Citations
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Journal ArticleDOI

Deep learning detects invasive plant species across complex landscapes using Worldview‐2 and Planetscope satellite imagery

TL;DR: In this paper , the authors used two types of satellite imagery to detect the invasive plant, leafy spurge (Euphorbia virgata), across a heterogeneous landscape in Minnesota, USA.
Journal ArticleDOI

Two Decades Progress on the Application of Remote Sensing for Monitoring Tropical and Sub-Tropical Natural Forests: A Review

TL;DR: In this article, the progress made by remote sensing data applications to tropical and sub-tropical natural forest monitoring over the last two decades (2000-2020) is reviewed, focusing on the thematic areas of aboveground biomass and carbon estimations, tree species identification, tree diversity, and forest cover and change mapping.
Book ChapterDOI

Linking Foliar Traits to Belowground Processes

TL;DR: The ability of remote sensing techniques to measure fine-scale biodiversity and plant chemistry over large spatial scales can help researchers address ecological questions that were previously prohibitively expensive to address as mentioned in this paper.
Journal ArticleDOI

Can remote sensing detect, monitor and track baboon-damaged Pinus plantations located in South Africa?

TL;DR: The sustainability of the South African forestry industry is under threat due to the increasing number of biotic stressors in a changing environment as discussed by the authors, and Bark-stripping baboons are impacting th...
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.
Book

Pattern classification and scene analysis

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.
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