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
First Experience with Sentinel-2 Data for Crop and Tree Species Classifications in Central Europe
TL;DR: The study presents the preliminary results of two classification exercises assessing the capabilities of pre-operational Sentinel-2 (S2) data for mapping crop types and tree species and confirmed its expected capabilities to produce reliable land cover maps.
Journal ArticleDOI
Tree Species Classification with Random Forest Using Very High Spatial Resolution 8-Band WorldView-2 Satellite Data
TL;DR: The suitability of 8-band WorldView-2 satellite data for the identification of 10 tree species in a temperate forest in Austria is examined and an extensive literature review on tree species classification comprising about 20 studies is presented.
Journal ArticleDOI
The Structure, Distribution, and Biomass of the World's Forests
TL;DR: In this paper, the authors review the environmental factors controlling the structure and distribution of forests and evaluate their current and future trajectory, concluding that forest biomass is a complex property affected by forest distribution, structure, and ecological processes.
Journal ArticleDOI
Review of studies on tree species classification from remotely sensed data
Fabian Ewald Fassnacht,Hooman Latifi,Krzysztof Stereńczak,Aneta Modzelewska,Michael A. Lefsky,Lars T. Waser,Christoph Straub,Aniruddha Ghosh +7 more
TL;DR: It is recommended that future research efforts focus stronger on the causal understanding of why tree species classification approaches work under certain conditions or – maybe even more important - why they do not work in other cases as this might require more complex field acquisitions than those typically used in the reviewed studies.
References
More filters
Journal ArticleDOI
Prospects for quantifying structure, floristic composition and species richness of tropical forests
TL;DR: In this article, a combination of spectral and light detection and ranging (lidar) sensors have been used to quantify biophysical characteristics of tropical forests, including vegetation types, foliar biochemistry content of forest canopies, tree and canopy phenology, and spectral signatures for selected tree species.
The Spectral Image Processing System (SIPS): Software for integrated analysis of AVIRIS data
F. A. Kruse,A. B. Lefkoff,J. W. Boardman,K. B. Heidebrecht,A. T. Shapiro,P. J. Barloon,Alexander F. H. Goetz +6 more
TL;DR: The Spectral Image Processing System (SIPS) is a software package developed by the Center for the Study of Earth from Space at the University of Colorado, Boulder in response to a perceived need to provide integrated tools for analysis of imaging spectrometer data both spectrally and spatially.
Proceedings ArticleDOI
Hyperspectral data analysis for subtropical tree species recognition
TL;DR: In this paper, hyperspectral data are taken for 6 common tree species using a high spectral resolution spectrometer in the subtropical environment of Hong Kong, and linear discriminant analysis reveals that these tree species can be recognized with an overall accuracy of %.
Journal ArticleDOI
On the classification of classes with nearly equal spectral response in remote sensing hyperspectral image data
V. Haertel,D.A. Langrebe +1 more
TL;DR: The aim of this study is to contribute to a better understanding of the role played by the second-order statistics in remote sensing digital image classification of natural scenes when the classes of interest are spectrally very similar and high dimensional multispectral image data is available.
Book ChapterDOI
Crown typology and the identification of rain forest trees on large-scale aerial photographs
TL;DR: In this article, the potential of large-scale aerial photographs for the identification of rain forest trees was assessed, and a typology of the crowns, based on seven main classes of criteria: crown size, crown status, crown contour, crown architecture, foliage cover, foliage texture and colour, completed where possible by information on phenology.