Digital classification of tree species and spatial structure of forest stands from remotely sensed data

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A_____%2F03%3A41100009" target="_blank" >RIV/62156489:_____/03:41100009 - 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
Digital classification of tree species and spatial structure of forest stands from remotely sensed data
Original language description
Scanned multispectral aerial photographs were used to estimate tree and stand variables by means of standard and novel digital image processing methods. Individual tree crown detection and delineation were realized by the brightest pixel technique template matching, edge detection in gradient direction, pixel tracing and cost surface generation. Several algorithms were tested and implemented into a program -Kernel processor-. Automated classification of tree species was carried out in the Idrisi32 environment using traditional and soft classifiers. Bayclass soft classifier provided the most precise results. Described procedures enable to create special forests maps that support alternative or simplified forest management plans at protected territories.
Czech name
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Czech description
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Publication year
2003
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 22nd EARSeL Symposium, Prague, Czech Republic, 4-6 June, 2002
ISBN
90-77017-71-2
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
439-446
Publisher name
Millpress Science Publishers, Rotterdam
Place of publication
Rotterdam
Event location
Praha
Event date
Jun 4, 2002
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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