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
Application of merged 1-m and 4-m resolution satellite data to research and management in tropical forests
TL;DR: In this paper, the IKONOS image was georeferenced using uncorrected global positioning system (GPS) locations for 10 control trees whose crowns were clearly visible in the image.
Journal ArticleDOI
Leaf optical properties along a vertical gradient in a tropical rain forest canopy in Costa Rica.
TL;DR: Overall, leaf optical properties of the four species tested represent a spectrum of regeneration patterns ranging from shade tolerant to light demanding, and efficiency of absorption, as represented by the absorptance per unit leaf weight, increased as light level decreased, largely due to changes in specific leaf mass.
Forest information extraction from high spatial resolution images using an individual tree crown approach
TL;DR: This work was done in collaboration with CLC-Camint (Gatineau) and Industries Davidson Inc. and was funded in part by the “Programme de mise en valeur des ressources du milieu forestier Volet 1” of the Quebec Department of Natural Resources.
Journal ArticleDOI
Comparison of Possible Multispectral Classification Schemes for Tree Crowns Individually Delineatedon High Spatial Resolution MEIS Images
TL;DR: In this paper, the authors decrit et compare sept manieres differentes for definir spectralement des cimes d'arbre provenant d'images aeriennes de haute resolution spatiale dans le but d'identifier leurs especes forestieres.
Journal ArticleDOI
Semi-automated procedures for tree species identification in high spatial resolution data from digitized colour infrared-aerial photography
TL;DR: A semi-automated classification procedure is presented for identification of forest species from digitized large-scale, colour-infrared (CIR) aerial photographs to simulate imagery from future sensors with high spatial resolution capability (below 0.5 m).