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.

read more

Citations
More filters
Journal ArticleDOI

Subalpine and alpine vegetation classification based on hyperspectral APEX and simulated EnMAP images

TL;DR: In this article, the authors focused on subalpine and alpine vegetation mapping in the eastern part of the Polish Karkonosze National Park KPN using the Airborne Prism Experiment APEX and EnMAP data.
Journal ArticleDOI

Spectral wavelength selection and detection of two invasive plant species in an urban area.

TL;DR: In this paper, the Compact Airborne Spectrographic Imager (CASI) was used to extract spectra of Himalayan blackberry (Rubus armeniacus), English ivy (Hedera helix), and other species across the nonforest vegetated environment of Surrey, British Columbia, Canada.
Journal ArticleDOI

Forest canopy density assessment using different approaches - review.

TL;DR: Abdollahnejad et al. as discussed by the authors reviewed different remote sensing methods for forest crown canopy density assessment and found that satellite-based methods are among the most successful methods regarding cost-saving efforts and different kinds of options for measuring the crown canopy.
Book ChapterDOI

Applications of Leaf Optics

TL;DR: Leaf spectroscopy has many different end uses, such as remote sensing studies to calibrate processes and provide ground truth data for interpretation, and in agriculture to indirectly calibrate foliar nutrients like nitrogen concentration as mentioned in this paper.
References
More filters
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.
Related Papers (5)