izpis_h1_title_alt

Diameter, height and species of 42 million trees in three European landscapes generated from field data and airborne laser scanning data
ID Aussenac, Raphaël (Avtor), ID Monnet, Jean-Matthieu (Avtor), ID Klopčič, Matija (Avtor), ID Hawryło, Paweł (Avtor), ID Socha, Jarosław (Avtor), ID Mahnken, Mats (Avtor), ID Gutsch, Martin (Avtor), ID Cordonnier, Thomas (Avtor), ID Vallet, Patrick (Avtor)

URLURL - Izvorni URL, za dostop obiščite https://doi.org/10.12688/openreseurope.15373.2 Povezava se odpre v novem oknu
URLURL - Izvorni URL, za dostop obiščite https://open-research-europe.ec.europa.eu/articles/3-32/v1 Povezava se odpre v novem oknu
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Izvleček
Ecology and forestry sciences are using an increasing amount of data to address a wide variety of technical and research questions at the local, continental and global scales. However, one type of data remains rare: fine-grain descriptions of large landscapes. Yet, this type of data could help address the scaling issues in ecology and could prove useful for testing forest management strategies and accurately predicting the dynamics of ecosystem services. Here we present three datasets describing three large European landscapes in France, Poland and Slovenia down to the tree level. Tree diameter, height and species data were generated combining field data, vegetation maps and airborne laser scanning (ALS) data. Together, these landscapes cover more than 100 000 ha and consist of more than 42 million trees of 51 different species. Alongside the data, we provide here a simple method to produce high-resolution descriptions of large landscapes using increasingly available data: inventory and ALS data. We evaluated the overall reliability of our workflow by comparing the stands dominant heights measured by ALS to those calculated from the trees we generated. Overall, the landscapes we generated are in good agreement with the landscapes they aim to reproduce.

Jezik:Angleški jezik
Ključne besede:forest inventory, landscape, tree-level, airborne laser scanning, downscaling
Vrsta gradiva:Članek v reviji
Tipologija:1.01 - Izvirni znanstveni članek
Organizacija:BF - Biotehniška fakulteta
Status publikacije:Objavljeno
Različica publikacije:Recenzirani rokopis
Datum objave:01.01.2023
Leto izida:2023
Št. strani:Str. 1-20
Številčenje:Vol. 3, 33
PID:20.500.12556/RUL-148213 Povezava se odpre v novem oknu
UDK:630*58
ISSN pri članku:2732-5121
DOI:10.12688/openreseurope.15373.2 Povezava se odpre v novem oknu
COBISS.SI-ID:184847363 Povezava se odpre v novem oknu
Datum objave v RUL:02.08.2023
Število ogledov:1534
Število prenosov:148
Metapodatki:XML DC-XML DC-RDF
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Gradivo je del revije

Naslov:Open research Europe
Založnik:European Commission
ISSN:2732-5121
COBISS.SI-ID:80728323 Povezava se odpre v novem oknu

Licence

Licenca:CC BY 4.0, Creative Commons Priznanje avtorstva 4.0 Mednarodna
Povezava:http://creativecommons.org/licenses/by/4.0/deed.sl
Opis:To je standardna licenca Creative Commons, ki daje uporabnikom največ možnosti za nadaljnjo uporabo dela, pri čemer morajo navesti avtorja.

Sekundarni jezik

Jezik:Slovenski jezik
Ključne besede:gozdna inventura, lasersko snemanje

Projekti

Financer:EC - European Commission
Program financ.:European Commission
Številka projekta:773324
Naslov:ForestValue - Innovating forest-based bioeconomy
Akronim:ForestValue

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