Výsledky vyhledávání - "H. Oğuz Çoban"

Akademický článek

Estimating stem volume and measuring diameter and height of brutian pine trees from aerial photographs taken by unmanned aerial vehicle

Autor: Mehmet Eker, H. Oğuz Çoban, Hakan Durgun

Publikováno v: Turkish Journal of Forestry, Vol 23, Iss 4, Pp 255-267 (2022)

Remote sensing data and techniques are widely used in modern forestry studies. Today, aerial photographs taken with remote sensors on Unmanned Aerial Vehicles (UAV) can be processed by using softcopy photogrammetry to produce data such as point cloud

Externí odkaz: https://doaj.org/article/129bcc8fe5194284aedcf91156c45646

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Akademický článek

GIS-based determination of forest area changes: Case study in Çamsu Forest Sub-district

Autor: H. Oğuz ÇOBAN, Şükrü GÜNDOĞDU

Publikováno v: Turkish Journal of Forestry, Vol 21, Iss 1, Pp 60-69 (2020)

In this study, it was aimed to determine the changes in forest areas by using Geographical Information System. Forest changes were examined between 1990-2019 in Çamsu Forest Sub-district under Uşak Forest Management Directorate, Denizli Regional Di

Externí odkaz: https://doaj.org/article/a4997cd6b34741f5b94ec2cf2a5964f6

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İnsansız hava aracıyla elde edilen hava fotoğraflarından kızılçam ağaçlarının çap ve boylarının ölçümü ve gövde hacminin tahmini

Autor: Mehmet EKER, Hakan DURGUN, H. Oğuz ÇOBAN

Publikováno v: Volume: 23, Issue: 4 255-267
Turkish Journal of Forestry
Türkiye Ormancılık Dergisi

Modern ormancılık çalışmalarında uzaktan algılama veri ve yöntemleri yaygın olarak kullanılmaktadır. Günümüzde insansız hava araçlarındaki (İHA) algılayıcı sistemlerle alınan hava fotoğrafları, yazılım fotogrametrisiyle işl

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2992153ca3a0fa0c8f7e8200d43a1613
https://doi.org/10.18182/tjf.1199567

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GIS-based determination of forest area changes: Case study in Çamsu Forest Sub-district

Autor: Şükrü Gündoğdu, H. Oğuz Çoban

Publikováno v: Turkish Journal of Forestry, Vol 21, Iss 1, Pp 60-69 (2020)
Volume: 21, Issue: 1 60-69
Turkish Journal of Forestry

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ebdececafbc908648c7237f786a7f734
https://doi.org/10.18182/tjf.693465

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MaxEnt Modeling for Predicting the Current and Future Potential Geographical Distribution of Quercus libani Olivier

Autor: Ömer K. Örücü, H. Oğuz Çoban, E. Seda Arslan

Publikováno v: BASE-Bielefeld Academic Search Engine
Sustainability, Vol 12, Iss 2671, p 2671 (2020)
Sustainability
Volume 12
Issue 7

The purpose of the study was to model the current and potential future distribution of Quercus libani Olivier (Lebanon Oak), a tree species in Turkey, and to predict the changes in its geographical distribution under different climate change scenario

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::06d6c1b00d0b4a521dc1b4213f98b8c2
https://doi.org/10.3390/su12072671

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