Zobrazeno 1 - 10
of 53
pro vyhledávání: '"Alkan GÜNLÜ"'
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
Publikováno v:
Forest Systems, Vol 32, Iss 1 (2023)
Aim of study: To examine the relationships between net primary productivity (NPP) and leaf area index (LAI) and modeling these parameters with stand parameters such as stand median diameter (dg), dominant height (htop), number of trees (N), stand bas
Externí odkaz:
https://doaj.org/article/9372042d89394794a68155e81cfc8313
Publikováno v:
Turkish Journal of Forestry, Vol 20, Iss 4, Pp 352-359 (2019)
In this study, the temporal and spatial amount of aboveground stand carbon was investigated between 1993 to 2015 in the upper watershed of Göksu River located in the Eastern Mediterranean region. For this purpose, the aboveground stand carbon maps w
Externí odkaz:
https://doaj.org/article/81b69a1b21fc44418945c2d9b540fadd
Publikováno v:
Journal of Forest Science, Vol 65, Iss 1, Pp 18-26 (2019)
The objective of this study is to estimate stand development stages (SDS) and stand crown closures (SCC) of forest using different classification methods (maximum likelihood, support vector machine: linear, polynomial, radial and sigmoid kernel funct
Externí odkaz:
https://doaj.org/article/c8a5872c7f434cd49862bc62a1c5b564
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:
Turkish Journal of Forestry, Vol 19, Iss 2, Pp 149-155 (2018)
Emine creek watershed (12 127.1 ha) have been the subject of watershed melioration studies since 1990. Pasture rehabilitation, soil conservation and afforestation works were carried out within these applications. In this study, the achievement of wat
Externí odkaz:
https://doaj.org/article/72c304dc0ddd408bba59417e2b6003e4
Autor:
İzzet GÜVERÇİN, Alkan GÜNLÜ
Publikováno v:
Bartın Orman Fakültesi Dergisi. :177-191
Bu çalışmanın amacı; saf kızılçam (Pinus brutia Ten.) meşcrelerinde aktif (Sentinel-1A) ve pasif (Landsat 8 OLI) uydu görüntüleri ile bazı topoğrafik veriler kullanılarak topraküstü biyokütlenin tahmin edilmesidir. Çalışmada topl
Autor:
Sinan BULUT, Alkan GÜNLÜ
Publikováno v:
Anadolu Orman Araştırmaları Dergisi. 7:175-182
The total amount of carbon deposited by forests is gross primary productivity (GPP), and the net amount remaining after respiration is net primary productivity (NPP). The carbon storage effectiveness of forests is determined by the NPP:GPP ratio. Thi
Publikováno v:
Bartın Orman Fakültesi Dergisi. 23:980-989
Bu çalışmada, saf karaçam meşcerelerinde yaprak alan indeksi (YAİ) ile bazı meşcere parametreleri (meşcere hacmi, meşcere göğüs yüzeyi, meşcere ağaç sayısı, meşcere orta çapı ve bonitet endeksi) arasındaki ilişkiler çoğul re
Publikováno v:
Geocarto International. 38
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