Comparison of Tree Attribute Estimates from Airborne and Terrestrial Laser Scanning and Field Data
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F86652079%3A_____%2F18%3A00567475" target="_blank" >RIV/86652079:_____/18:00567475 - isvavai.cz</a>
Result on the web
<a href="https://igarss2021.com/" target="_blank" >https://igarss2021.com/</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Comparison of Tree Attribute Estimates from Airborne and Terrestrial Laser Scanning and Field Data
Original language description
A comparative analysis of airborne laser scanning (ALS), terrestrial laser scanning (TLS), and field data collection methods in estimating tree attributes has been performed in the study. Tree height (H), diameter at breast height (DBH), crown base (CB) and crown diameter (CD) have been estimated using manual and automatic methods for spruce and beech. Strong correlation was observed among scanning H and field-measured H for spruce with error of the estimates (SEE) from 1.4 m to 2.2 m. DBH estimates from TLS manual method showed the correlation coefficient, r = 0.96 for spruce and beech with average SEE of 2.9 cm. Automatic TLS method for DBH of beech was poorer than for DBH of spruce. TLS estimates of CB were better both for manual and automatic methods than ALS estimates. CD estimates from ALS showed better agreement with field measurements (r = 0.71, SEE = 1.2 m) than did CD estimates from TLS (r = 0.52, SEE = 1.4 m).
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20705 - Remote sensing
Result continuities
Project
<a href="/en/project/QK1910150" target="_blank" >QK1910150: Operational assessment of aboveground biomass in forest ecosystems using advanced remote sensing methods</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
International Geoscience and Remote Sensing Symposium (IGARSS)
ISBN
9781538671504
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
1-4
Publisher name
IEEE
Place of publication
New York
Event location
Barcelona
Event date
Jul 23, 2007
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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