• Borçka barajı gölü ve çevresi rekreasyonel alan kullanım olanaklarının belirlenmesi 

  Eminağaoğlu, Zehra; Surat, Hilal; Yavuz Özalp, Ayşe; Yaman, Yasin K. (Kastamonu Üniversitesi, 2016)

  Dünyada su kaynaklarının korunması, geliştirilmesi ve toplumun kullanımına sunulmasına yönelik üretilen projeler günümüzde önem kazanmaktadır. Bu projelerin en önemlilerinden biri barajlardır. Baraj gölleri, ülkemizde ...

• Bağımsız Bileşenler Analizi ile Video Görüntülerinden Öz Bilgilerin Çıkarılması 

  Doğan, Sedat; Akıncı, Halil (Harita Teknolojileri Elektronik Dergisi, 2013)

  Sensörlerle ölçülen sinyallerin, birden çok sinyalin lineer kombinasyonundan oluştuğu düşünüldüğünde, ölçülen sinyal, lineer kombine olmuş sinyallerin bir karışımı olarak ele alınabilir. Bu durumda, ölçülen sinyalin ...

• Susceptibility assessment and mapping of Ips typographus (L.) (Coleoptera: Curculionidae) in oriental spruce forests in Artvin, Turkey 

  Akıncı, Hazan; Genç, Çağla; Akıncı, Halil (John Wiley and Sons Inc, 2022)

  Ips typographus, which was first identified in 1984 in the oriental spruce forests of Artvin, Turkey, has killed millions of cubic metres of trees. Severe outbreaks of I. typographus following storms resulting in fallen ...

• Automated extraction of road information from UAV-based data 

  Zeybek, Mustafa; Biçici, Serkan (Reed Business-Geo, 2022)

  When it comes to monitoring the condition of roads, UAV technology can overcome many of the downsides associated with traditional methods, which can be time-consuming, labour-intensive and sometimes subjective. This article ...

• Assessment of rainfall-induced landslide susceptibility in Artvin, Turkey using machine learning techniques 

  Akıncı, Halil (Elsevier Ltd, 2022)

  In this study, the performances of machine learning models, such as artificial neural networks (ANN), gradient-boosting machines (GBM), random forest (RF) and support vector machines (SVM) in rainfall-induced landslide ...

• Improvements on road centerline extraction by combining voronoi diagram and intensity feature from 3D UAV-based point cloud 

  Biçici, Serkan; Zeybek, Mustafa (Springer Science and Business Media Deutschland GmbH, 2022)

  This study presents an application for road data users to make it easier to identify the centerline of roads. Images obtained from high-resolution unmanned aerial vehicles (UAV) provide a reliable database for fundamental ...

• Mapping surface deformation using SNAP-StaMPS after Seferhisar-Izmir earthquake 

  Saralıoǧlu, Ekrem (Springer Science and Business Media B.V., 2021)

  İzmir, the third-largest city and economic center of Turkey, has been exposed to many natural disasters throughout its history. It is one of them in the 6.6 magnitude earthquake that last occurred on October 30, 2020. In ...

• Odor-aided analysis for landfill site selection: study of DOKAP Region, Turkey 

  Yıldırım, Volkan; Uzun, Bayram; Memişoğlu Baykal, Tuğba; Terzi, Fatih; Atasoy, Bura Adem (Springer Science and Business Media Deutschland GmbH, 2021)

  In our world, with the increase of factors such as the rapid and irresponsible consumption of natural resources, man-made environmental disasters, global warming, and pollution of water resources in our world, the need ...

• Developing a land evaluation model for faba bean cultivation using geographic information system and multi-criteria analysis (A case study: Gonbad-Kavous region, Iran) 

  Kazemi, Hossein; Sadeghi, Sohrab; Akıncı, Halil (Elsevier, 2016)

  This study was carried out to assess the land suitability for rainfed faba bean (Viciafaba L.) cultivation in Gonbad-Kavous region (Golestan province, north of Iran) using geographic information system (GIS) and analytical ...

• Effectiveness of training sample and features for random forest on road extraction from unmanned aerial vehicle-based point cloud 

  Biçici, Serkan; Zeybek, Mustafa (Sage Publications, 2021)

  The accuracy of random forest (RF) classification depends on several inputs. In this study, two primary inputs—training sample and features—are evaluated for road classification from an unmanned aerial vehicle-based point ...

• Producing climate boundary maps using GIS interface model designed with Python 

  Memişoğlu Baykal, Tuğba; Çolak, H. Ebru (Sage Publications, 2021)

  Climate and its effects need to be examined within a more planned and comprehensive framework to prevent the unfavorable impact of climate change. Thus, climate effects on the ecosystem can be identified by determining the ...

• El-tipi LiDAR nokta bulutundan tek ağaç gövdesinin otomatik çıkarımında istatistiksel sınıflandırma algoritmalarının performans analizi 

  Zeybek, Mustafa (Artvin Çoruh Üniversitesi, 2020)

  Enerjisi ışık veya lazer olan LiDAR yöntemi yoğun koordinat verisini hızlı bir şekilde ölçen bir ölçme tekniğidir. Orman alanlarında kullanımı yaygın olan bu teknik, yoğun bir veri işleme adımına sahiptir. Bu işlemlerin ...

• Development and management of private property rights on coastal areas 

  Yavuz Özalp, Ayşe; Akıncı, Halil (Elsevier, 2016)

  In Turkey, the coast is defined as the area between the shore line and the shore border line (SBL). The determination of the SBL is important in terms of both designating the boundary of coastal areas on the side of land ...

• What is the relation between smearing effect of least squares estimation and its influence function? 

  Durdağ, Utkan Mustafa; Hekimoğlu, Şerif; Erdoğan, Bahattin (Taylor and Francis Ltd., 2021)

  In some cases, tests for outliers and robust methods based on the Least Square Estimation (LSE) fail to detect and isolate outliers. LSE ’smears the effect’ of an outlier on all estimates of the residuals, the unknowns, ...

• Tarihi yığma kiliselerde hasarların fotogrametrik ölçme tekniğiyle incelenmesi: Artvin Tbeti Kilisesi örneği 

  Zeybek, Mustafa; Kaya, Ali (Murat Yakar, 2020)

  Geçmişte yaşamış farklı medeniyetler inşa ettikleri anıtsal yapılarla günümüze önemli kültürel miraslar bırakmışlardır. Bu yapıların en ihtişamlıları ve döneminin özelliklerini yansıtan; kilise, cami gibi önemli dini ...

• Crowdsourcing-based application to solve the problem of insufficient training data in deep learning-based classification of satellite images 

  Saralıoǧlu, Ekrem; Güngör, Oǧuz (Taylor and Francis Ltd., 2021)

  In order to solve insufficient training data problem in remote sensing, a web platform was created so that registered users can generate labeled data for various classes in a dynamic structure. Users were asked to select ...

• Accuracy assessment of direct georeferencing UAV images with onboard global navigation satellite system and comparison of CORS/RTK surveying methods 

  Zeybek, Mustafa (IOP Publishing Ltd, 2021)

  The chestnut gall wasp, Dryocosmus kuriphilus Yasumatsu (Hymenoptera: Cynipidae) is one of the most important insect pests of chestnut. The aim of this study was to isolate and characterize bacteria from D. kuriphilus ...

• Comparing classical statistic and machine learning models in landslide susceptibility mapping in Ardanuc (Artvin), Turkey 

  Akıncı, Halil; Zeybek, Mustafa (Springer, 2021)

  Landslide susceptibility maps provide crucial information that helps local authorities, public institutions, and land-use planners make the correct decisions when they are managing landslide-prone areas. In recent years, ...

• Landslide susceptibility mapping and hazard assessment in Artvin (Turkey) using frequency ratio and modified information value model 

  Akıncı, Halil; Yavuz Özalp, Ayşe (Springer International Publishing, 2021)

  Landslides cause loss of lives and serious material damage almost every year around the world. In Turkey, risks related to landslides increase due to the combined effects of climate change, deforestation, uncontrolled ...

• Factors of soil diversity in the Batumi delta (Georgia) 

  Turgut, Bülent; Ateş, Merve (Copernicus Gesellschaft Mbh, 2017)

  The aim of this study was to determine certain basic properties of soils in the Batumi delta (southwestern Georgia) to determine the relationships of studied properties and to identify differences with regards to these ...

View more