Other formats:
BibTeX
LaTeX
RIS
@inbook{1501575,
author = {Mucina, Ladislav and Tichý, Lubomír},
address = {SWITZERLAND},
booktitle = {Forest Classification: Data-Analytical Experiments on Vertical Forest Layering and Flattened Data},
doi = {http://dx.doi.org/10.1007/978-3-319-67831-3_3},
editor = {Mucina Ladislav},
keywords = {DIGITAL ELEVATION MODELS; LAND COMPONENTS; CLASSIFICATION; FIDELITY; COMMUNITIES; UNITS},
howpublished = {tištěná verze "print"},
language = {eng},
location = {SWITZERLAND},
isbn = {978-3-319-67831-3},
pages = {47-57},
publisher = {SPRINGER INTERNATIONAL PUBLISHING AG},
title = {Forest Classification: Data-Analytical Experiments on Vertical Forest Layering and Flattened Data},
year = {2018}
}
TY - CHAP
ID - 1501575
AU - Mucina, Ladislav - Tichý, Lubomír
PY - 2018
TI - Forest Classification: Data-Analytical Experiments on Vertical Forest Layering and Flattened Data
VL - Geobotany Studies
PB - SPRINGER INTERNATIONAL PUBLISHING AG
CY - SWITZERLAND
SN - 9783319678313
KW - DIGITAL ELEVATION MODELS
KW - LAND COMPONENTS
KW - CLASSIFICATION
KW - FIDELITY
KW - COMMUNITIES
KW - UNITS
N2 - In this chapter, we test whether the structural completeness (data stratified into structural layers-tree, shrub, herbaceous, epiphytes) in species-rich subtropical forests impacts on classification outcome. We manipulated a well-structured (multi-layered) data set by successive removing structural layers. We have found that the herbaceous layer (E1) and the epiphytic synusia (E0) do not play an important role in classification of the subtropical forests. Besides obligatory sampling the tree layer, it appears that sampling the complete shrub layers (E2 alpha and E2 beta) layers is crucial, both for classification as well as for production of functional expert system.
ER -
MUCINA, Ladislav and Lubomír TICHÝ. Forest Classification: Data-Analytical Experiments on Vertical Forest Layering and Flattened Data. In Mucina Ladislav. \textit{Forest Classification: Data-Analytical Experiments on Vertical Forest Layering and Flattened Data}. SWITZERLAND: SPRINGER INTERNATIONAL PUBLISHING AG, 2018, p.~47-57. Geobotany Studies. ISBN~978-3-319-67831-3. Available from: https://dx.doi.org/10.1007/978-3-319-67831-3\_{}3.
|
