Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Muammer Şenyurt"'
Autor:
Mustafa ÜMİT, Muammer ŞENYURT
Publikováno v:
Turkish Journal of Forestry, Vol 21, Iss 1, Pp 35-42 (2020)
In this study, five different compatible taper equations were used for Brutian pine (Pinus brutia Ten.) trees within the border of Asar Forest Sub-district in Antalya Forest Management Directorate of Antalya Forest District Regional. These five equat
Externí odkaz:
https://doaj.org/article/b8f0b9cedac0434382e7ef290ec0bf1d
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
Publikováno v:
BOSQUE; Vol. 41 Núm. 1 (2020); 25-34
Bosque (Valdivia) v.41 n.1 2020
SciELO Chile
CONICYT Chile
instacron:CONICYT
Bosque (Valdivia) v.41 n.1 2020
SciELO Chile
CONICYT Chile
instacron:CONICYT
This study introduces the artificial neural networks (ANN) function to model relationship between diameter at breast height (dbh) and stump diameter and investigates the potential of ANN model to obtain the prediction of dbh. In total, 583 diameters
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6c21083a3fd01f26c1297af5ee04b207
https://doi.org/10.4067/s0717-92002020000100025
https://doi.org/10.4067/s0717-92002020000100025
Estimation of Aboveground Stand Carbon using Landsat 8 OLI Satellite Image: A Case Study from Turkey
Publikováno v:
Spatial Modeling in Forest Resources Management ISBN: 9783030565411
Accurate and consistent measurement of carbon stocks and flows in forest ecosystems has recently gained global importance. This study aims to estimate the aboveground stand carbon (AGSC) using Landsat 8 OLI satellite image in pure Crimean pine stands
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::45d9b1304f94fe52c507a3472814af8e
https://doi.org/10.1007/978-3-030-56542-8_16
https://doi.org/10.1007/978-3-030-56542-8_16
Publikováno v:
New Zealand Journal of Forestry Science. 50
Background: The use of satellite imagery to quantify forest metrics has become popular because of the high costs associated with the collection of data in the field.Methods: Multiple linear regression (MLR) and regression kriging (RK) techniques were
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3c70b41c519b72222c3aa9fdbbf772de
https://doi.org/10.33494/nzjfs502020x49x
https://doi.org/10.33494/nzjfs502020x49x
Publikováno v:
Forest Ecosystems, Vol 5, Iss 1, Pp 1-12 (2018)
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 the regre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aef306a443e03b65e716b6e7d0db3e8d
http://link.springer.com/article/10.1186/s40663-018-0149-8
http://link.springer.com/article/10.1186/s40663-018-0149-8
Taper equations based on nonlinear mixed effect modeling approach for Pinus nigra in Çankırı forests
Publikováno v:
Bosque (Valdivia). 38:545-554
In this study, statistical nonlinear mixed effect models were used to model taper of individual trees in Pinus nigra stands distributed within the Cankiri Forests. The data from 210 trees that were felled from Pinus nigra stands were used in this stu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8d4f18a3eb00f15e3d05e6eb6728add4
https://doi.org/10.4067/s0717-92002017000300012
https://doi.org/10.4067/s0717-92002017000300012
The aim of this research is to assess some stand parameters such as stand volume (SV), basal area (BA), number of trees (NT) and aboveground biomass (AGB) of pure Crimean pine forest stands in Turkey by using ground measurements and remote sensing te
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::92ee4ef915236e8aa4183dd53a7c0010
https://aperta.ulakbim.gov.tr/record/67607
https://aperta.ulakbim.gov.tr/record/67607
Autor:
Ugur Akbas, Muammer Şenyurt
Publikováno v:
Revista Árvore v.42 n.3 2018
Revista Árvore
Universidade Federal de Viçosa (UFV)
instacron:SIF
Revista Árvore, Vol 42, Iss 3 (2018)
Revista Árvore
Universidade Federal de Viçosa (UFV)
instacron:SIF
Revista Árvore, Vol 42, Iss 3 (2018)
In this study, it is aimed that the dynamic site index models were developed for Crimean Pine stands in Sarikaya-Cankiri forests located in middle northern Turkey. The data for this study are 153 sample trees obtained from the Crimean Pine stands. In
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4125c29940df6f8048d369ff954396cf
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-67622018000300210
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-67622018000300210
Publikováno v:
Environmental Monitoring and Assessment. 189
The objective of this study is to estimate the leaf area index (LAI) of a forest ecosystem using two different satellite images, WorldView-2 and Aster. For this purpose, 108 sample plots were taken from pure Crimean pine forest stands of Yenice Fores
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eca6f65abdd0a41a5fd446572ee15bf0
https://doi.org/10.1007/s10661-017-6254-2
https://doi.org/10.1007/s10661-017-6254-2