Classification of tree species in a riparian (floodplain) forest using multispectral digital data from airborne scanner.

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43410%2F00%3A41101009" target="_blank" >RIV/62156489:43410/00:41101009 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Classification of tree species in a riparian (floodplain) forest using multispectral digital data from airborne scanner.

Original language description

Possibility of identifying the most important tree species in a natural ecosystem of the riparian forest was estimated, using multispectral digital airborne imagery. Results show that discrimination of natural tree species in the riparian forest is possi

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

GK - Forestry

OECD FORD branch

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Project

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Continuities

Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

2000

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Journal of Forest Science

ISBN

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ISSN

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e-ISSN

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Number of pages

11

Pages from-to

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Publisher name

Mendel University of Agriculture and Forestry, Faculty of Forestry and Wood Technology Lesnická 37, 61300 Brno

Place of publication

Journal of Forest Science

Event location

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Event date

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Type of event by nationality

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UT code for WoS article

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