Forest Classification: Data-Analytical Experiments on Vertical
Forest Layering and Flattened Data

C 2018

Forest Classification: Data-Analytical Experiments on Vertical Forest Layering and Flattened Data

MUCINA, Ladislav a Lubomír TICHÝ

Základní údaje

Originální název

Forest Classification: Data-Analytical Experiments on Vertical Forest Layering and Flattened Data

Autoři

MUCINA, Ladislav (40 Rakousko) a Lubomír TICHÝ (203 Česká republika, domácí)

Vydání

SWITZERLAND, Forest Classification: Data-Analytical Experiments on Vertical Forest Layering and Flattened Data, od s. 47-57, 11 s. Geobotany Studies, 2018

Nakladatel

SPRINGER INTERNATIONAL PUBLISHING AG

Další údaje

Jazyk

angličtina

Typ výsledku

Kapitola resp. kapitoly v odborné knize

Obor

10611 Plant sciences, botany

Stát vydavatele

Švýcarsko

Utajení

není předmětem státního či obchodního tajemství

Forma vydání

tištěná verze "print"

Kód RIV

RIV/00216224:14310/18:00101731

Organizační jednotka

Přírodovědecká fakulta

ISBN

978-3-319-67831-3

DOI

http://dx.doi.org/10.1007/978-3-319-67831-3_3

UT WoS

000435900500004

Klíčová slova anglicky

DIGITAL ELEVATION MODELS; LAND COMPONENTS; CLASSIFICATION; FIDELITY; COMMUNITIES; UNITS

Štítky

topvydavatel

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 24. 6. 2022 11:08, Mgr. Marie Šípková, DiS.

Anotace

V originále

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.

Návaznosti

GA17-15168S, projekt VaV

Název: Expertní systémy nové generace pro klasifikaci vegetace v kontinentálním měřítku

Investor: Grantová agentura ČR, Next generation expert systems for vegetation classification on a continental scale

Citovat

MUCINA, Ladislav a Lubomír TICHÝ. Forest Classification: Data-Analytical Experiments on Vertical Forest Layering and Flattened Data. In Mucina Ladislav. Forest Classification: Data-Analytical Experiments on Vertical Forest Layering and Flattened Data. SWITZERLAND: SPRINGER INTERNATIONAL PUBLISHING AG, 2018, s. 47-57. Geobotany Studies. ISBN 978-3-319-67831-3. Dostupné z: https://dx.doi.org/10.1007/978-3-319-67831-3_3.

@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 a 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, s.~47-57. Geobotany Studies. ISBN~978-3-319-67831-3. Dostupné z: https://dx.doi.org/10.1007/978-3-319-67831-3\_{}3.

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