Zobrazeno 1 - 10
of 116
pro vyhledávání: '"stand parameters"'
Publikováno v:
Annals of Forest Science, Vol 81, Iss 1, Pp 1-11 (2024)
Abstract Key message The dataset includes data from forest soil surveys conducted in the period 2000–2020. It provides soil and site variables from 8269 locations. Data are aggregated in three basic soil layers: upper organic soil horizon (FH, 6875
Externí odkaz:
https://doaj.org/article/6a975f0c2700454d9940a399afbeca89
Autor:
Rumiantsev Maksym, Kobets Oleksii, Vysotska Natalia, Luk’yanets Volodymyr, Obolonyk Iryna, Tupchii Olha, Bondar Oleksandr, Nazarenko Vitalii
Publikováno v:
Metsanduslikud Uurimused, Vol 78, Iss 1, Pp 14-27 (2023)
We analysed the quantity and quality of Quercus robur L. acorns after years with a very poor yield under the canopy of natural oak stands of various compositions, ages and stock densities in the northeastern part of Ukraine. We determined the mass of
Externí odkaz:
https://doaj.org/article/bb4b591337e64dda8a85aadfcfaa3ea2
Publikováno v:
Geocarto International, Vol 38, Iss 1 (2023)
Remote sensing technologies have been extensively used in forest management in predicting stand parameters. The goal of this study is to use Landsat 8 and Sentinel-2 satellite images to estimate stand volume, basal area, number of trees, mean diamete
Externí odkaz:
https://doaj.org/article/ae0123d77ba4467f8b420450397ff2ef
Akademický článek
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Publikováno v:
Sensors, Vol 23, Iss 24, p 9907 (2023)
Old plantations are iconic sites, and estimating stand parameters is crucial for valuation and management. This study aimed to estimate stand parameters of a 115-year-old Japanese larch (Larix kaempferi (Lamb.) Carrière) plantation at the University
Externí odkaz:
https://doaj.org/article/b0b46a8e42ad44e89b66ef4f63b7d952
Autor:
F.R. López Serrano, E. Rubio, F.A. García Morote, M. Andrés Abellán, M.I. Picazo Córdoba, F. García Saucedo, E. Martínez García, J.M. Sánchez García, J. Serena Innerarity, L. Carrasco Lucas, O. García González, J.C. García González
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 113, Iss , Pp 103014- (2022)
Forest inventories are essential to accurately estimate different dendrometric and forest stand parameters. However, classical forest inventories are time consuming, slow to conduct, sometimes inaccurate and costly. To address this problem, an effici
Externí odkaz:
https://doaj.org/article/6b366d8280eb48858e5c67d49c7286be
Autor:
T. Demirel, U. Y. Özkan
Publikováno v:
Сибирский лесной журнал, Vol 5, Iss 5, Pp 85-91 (2018)
Forest inventory, which is the first step of forest management planning, is the most difficult stage that requires much time and a lot of efforts. To reduce fieldworks that are considered time consuming and expensive methods of ground measurements, r
Externí odkaz:
https://doaj.org/article/dd5d6941172b4856b1d20a2757a1e0dd
Publikováno v:
Forest Ecosystems, Vol 5, Iss 1, Pp 1-12 (2018)
Abstract Background Leaf Area Index (LAI) is an important parameter used in monitoring and modeling of forest ecosystems. The aim of this study was to evaluate performance of the artificial neural network (ANN) models to predict the LAI by comparing
Externí odkaz:
https://doaj.org/article/939a8610490f4ac1995c62c772141853
Autor:
Ferezliev Angel
Publikováno v:
Folia Oecologica, Vol 44, Iss 2, Pp 69-77 (2017)
In parallel studies, different regression models were tested to identify relationships between particular dendrobiometrical indicators on two sample plots representing forests dominated by the European beech in the Central Balkan Range (Bulgaria). Th
Externí odkaz:
https://doaj.org/article/2cf693be2bcd4f94bd73bca5eeed6575
Akademický článek
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