Development of models for forest variable estimation from airborne laser scanning data using an area-based approach at a plot level
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43110%2F16%3A43909008" target="_blank" >RIV/62156489:43110/16:43909008 - isvavai.cz</a>
Alternative codes found
RIV/62156489:43410/16:43909008
Result on the web
<a href="http://dx.doi.org/10.17221/73/2015-JFS" target="_blank" >http://dx.doi.org/10.17221/73/2015-JFS</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.17221/73/2015-JFS" target="_blank" >10.17221/73/2015-JFS</a>
Alternative languages
Result language
angličtina
Original language name
Development of models for forest variable estimation from airborne laser scanning data using an area-based approach at a plot level
Original language description
Airborne laser scanning (ALS) is increasingly used in the forestry over time, especially in a forest inventory process. A great potential of ALS lies in providing quick high precision data acquisition for purposes such as measurements of stand attributes over large forested areas. Models were developed using an area-based approach to predict forest variables such as wood volume and basal area. The solution was performed through developing an object-oriented script using Python programming language, Python Data Analysis Library (Pandas), which represents a very flexible and powerful data analysis tool in conjunction with interactive computational environment the IPython Notebook. Several regression models for estimation of forest inventory attributes were developed at a plot level.
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
GK - Forestry
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Journal of Forest Science
ISSN
1212-4834
e-ISSN
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Volume of the periodical
62
Issue of the periodical within the volume
3
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
6
Pages from-to
137-142
UT code for WoS article
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EID of the result in the Scopus database
2-s2.0-84963620274