Takip et
ULAS YUNUS OZKAN
ULAS YUNUS OZKAN
Istanbul University-Cerrahpaşa Faculty of Forestry
istanbul.edu.tr üzerinde doğrulanmış e-posta adresine sahip
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
Estimation of tree size diversity using object oriented texture analysis and aster imagery
I Ozdemir, DA Norton, UY Ozkan, A Mert, O Senturk
Sensors 8 (8), 4709-4724, 2008
742008
Estimation of tree size diversity using object oriented texture analysis and aster imagery
I Ozdemir, DA Norton, UY Ozkan, A Mert, O Senturk
Sensors 8 (8), 4709-4724, 2008
742008
Istanbul korularının karbon depolama, oksijen üretimi ve toz tutma kapasitesinin kestirilmesi
Ü Asan, S Destan, UY Özkan
Orman Amenajamanında Kavramsal Açılımlar ve Yeni Hedefler Sempozyumu …, 2002
622002
Assessment of visual landscape quality using IKONOS imagery
UY Ozkan
Environmental monitoring and assessment 186, 4067-4080, 2014
342014
Forest fire and law: an analysis of Turkish forest fire legislation based on Food and Agriculture Organization criteria
OD Elvan, Ü Birben, UY Özkan, HT Yıldırım, YÖ Türker
Fire Ecology 17, 1-15, 2021
242021
Predicting bird species richness and micro-habitat diversity using satellite data
I Ozdemir, A Mert, UY Ozkan, S Aksan, Y Unal
Forest ecology and management 424, 483-493, 2018
242018
ARMUTLU ORMAN İŞLETME ŞEFLİĞİNDEKİ ORMAN ALANLARINDAKİ DEĞİŞİMLERİN LANDSAT UYDU GÖRÜNTÜLERİ KULLANILARAK İZLENMESİ
İ ÖZDEMİR, U ÖZKAN
Turkish Journal of Forestry 4 (1), 55-66, 2003
242003
Küresel isınmanın önlenmesinde ormanların rolü ve önemi
Ü ASAN, UY ÖZKAN, S DESTAN, H ZENGİN
192005
Comparison of Quickbird-2 and Landsat-7 ETM+ data for mapping of vegetation cover in Fethiye-Kumluova coastal dune in the Mediterranean region of Turkey.
I Özdemir, Ü Asan, B Koch, A Yeșİl, UY Özkan, S Hemphill
192005
Comparison of satellite images with different spatial resolutions to estimate stand structural diversity in urban forests
UY Ozkan, I Ozdemir, T Demirel, S Saglam, A Yesil
Journal of Forestry Research 28, 805-814, 2017
182017
Detecting treeline dynamics in response to climate warming using forest stand maps and Landsat data in a temperate forest
M Arekhi, A Yesil, UY Ozkan, F Balik Sanli
Forest Ecosystems 5, 1-14, 2018
162018
Evaluating the woody species diversity by means of remotely sensed spectral and texture measures in the urban forests
UY Ozkan, I Ozdemir, S Saglam, A Yesil, T Demirel
Journal of the Indian Society of Remote Sensing 44, 687-697, 2016
142016
UYDU GÖRÜNTÜLERİ YARDIMIYLA MEŞCERE PARAMETRELERİNİN KESTİRİLMESİ VE ORMAN AMENAJMANINDA KULLANILMASI OLANAKLARI
U ÖZKAN
Journal of the Faculty of Forestry Istanbul University 56 (2), 191-217, 2006
14*2006
Mapping forest stand structural diversity using Rapideye satellite data
I Ozdemir, K Ozkan, A Mert, UY Ozkan, O Senturk, O Alkan
Recuperado de Recuperado de http://congrexprojects. com/docs/12c04_docs2 …, 2012
122012
Drought monitoring and assessment using Landsat TM/OLI data in the agricultural lands of Bandar-e-Turkmen and Gomishan cities, Iran
M Arekhi, S Saglam, UY Ozkan
Environment, development and sustainability 22, 6691-6708, 2020
112020
Examining LiDAR–WorldView-3 data synergy to generate a detailed stand map in a mixed forest in the north-west of Turkey
UY Ozkan, T Demirel, I Ozdemir, S Saglam, A Mert
Advances in Space Research 65 (11), 2608-2621, 2020
102020
Kent orman kavramı ve planlama örnekleri, I
S Sağlam, UY Özkan
Ulusal Akdeniz Orman ve Çevre Sempozyumu, 26-28, 2011
102011
Estimation of forest stand parameters by using the spectral and textural features derived from digital aerial images.
UY Ozkan, T Demirel
Applied Ecology & Environmental Research 16 (3), 2018
92018
Assessment of landscape silhouette value in urban forests based on structural diversity indices
UY Ozkan, I Ozdemir
International journal of environmental science and technology 12, 3971-3980, 2015
92015
An evaluation on acoustic behavior of untreated tree trunks depending on bark physical properties and fiber cell structure
S Sağlam, F Güzelçimen, D Bingöl, UY Özkan, B Ekici
Journal of Natural Fibers 19 (4), 1507-1521, 2022
72022
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Makaleler 1–20