Başlık için Harita Mühendisliği Bölümü Yayın Koleksiyonu listeleme
Toplam kayıt 85, listelenen: 37-56
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Effectiveness of training sample and features for random forest on road extraction from unmanned aerial vehicle-based point cloud
(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 ... -
El-tipi LiDAR nokta bulutundan tek ağaç gövdesinin otomatik çıkarımında istatistiksel sınıflandırma algoritmalarının performans analizi
(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 ... -
Factors of soil diversity in the Batumi delta (Georgia)
(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 ... -
Flo-2d ve hec-ras yazılımları ile Ardanuç (Artvin) ilçesindeki Pona Deresi ve Örtülü Deresi’nin taşkın yayılım haritalarının karşılaştırmalı üretilmesi
(Halil AKINCI, 2022)İklim değişikliğinin etkisiyle dünya genelinde meteorolojik karakterli doğal afetlerin sayısı her geçen yıl artmaktadır. Ülkemizde de son yıllarda şiddetli yağışlar nedeniyle taşkın afetlerinde büyük bir artış olduğu ... -
Forecasting future climate boundary maps (2021–2060) using exponential smoothing method and GIS
(Elsevier B.V., 2022)Future-oriented forecasts have an important place in making forward-looking decisions and planning. At the beginning of these studies is the monitoring and detection of climate change. The climate is very variable. Therefore, ... -
The geographic distribution of cases of Crimean-Congo hemorrhagic fever: Kastamonu, Turkey
(Elsevier GMBH, 2015)The purpose of this study was to analyze the epidemiological characteristics of cases diagnosed with Crimean-Congo Hemorrhagic Fever (CCHF) with the help of Geographic Information Systems (GIS) and to establish an ... -
Geometric feature extraction of road from UAV based point cloud data
(Springer Science and Business Media Deutschland GmbH, 2021)This study presents a new approach to achieving the high accuracy geometric feature extraction of road surface automatically from UAV based images. The proposed methodology begins with the automatic extraction of road ... -
Implementation of a web services-based SDI to control and manage private ownership rights on coastal areas
(Elsevier, 2012)It is stated in the legislation related to the management of coastal areas, particularly in the Coastal Law, that private ownership shall not be allowed in coastal areas in Turkey. However, due to de?ciencies in the ... -
Improvements on road centerline extraction by combining voronoi diagram and intensity feature from 3D UAV-based point cloud
(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 ... -
Introducing the Hiking Suitability Index to evaluate mountain forest roads as poten- tial hiking routes – a case study in Hatila Valley National Park, Turkey
(Austrian Acad Sciences Press, 2021)Planning recreational areas for a conservation-use balance is important in the sustainable use of national parks. This study was conducted to determine the ability of forest roads as hiking routes in Hatila Valley National ... -
Investigation of IL-18 and MCP-1 levels in Polycystic Ovary Syndrome
(Elsevier, 2019)Polycystic Ovary Syndrome (PCOS) affects 4–8% of pre-meno-pausal women and it is the most common endocrine disorder duringchildbearing age.Although many diagnostic criteria have beenestablished for PCOS within the past ... -
Investigation of landslide detection using radial basis functions: a case study of the Taşkent landslide, Turkey
(Springer, 2020)This paper investigates landslide detection over flat and steep-slope areas with large forest cover using different radial basis function interpolation methods, which can affect the quality of a digital elevation model. ... -
Kentsel yeşil alanların planlanması ve tasarımını etkileyen faktörler: Artvin ili örneği
([y.y.], 2010)İnsan yerleşmeleri, oluşumundan beri doğaya ve doğal yaşama zarar vermektedir. Yerleşmeler ister istemez doğayı tahrip ederek, hatta yok ederek büyümekte, gelişmektedir. Bu noktada önemli olan, doğaya müdahale sonucunda ... -
Land registration and cadastre in Turkey from the ottomans to date
(Asian Network for Scientific Information, 2006)The determination and registration of geometrical and legal situation of land properties is of great importance throughout the history. This situation was also adopted in the early years of the Ottomans. And by taking ... -
A land use suitability model for rainfed farming by Multi-criteria Decision-making Analysis (MCDA) and Geographic Information System (GIS)
(Elsevier Science BV, 2018)This study was carried out to analyze the land use suitability of Golestan Province, located in the northeast of Iran, for rainfed farming performance using Geographic Information System (GIS) and Multi-criteria Decision-making ... -
Land use/land cover classification with Landsat-8 and Landsat-9 satellite images: a comparative analysis between forest- and agriculture-dominated landscapes using different machine learning methods
(Akademiai Kiado ZRt, 2022)The Landsat program, which started in 1972 with Landsat-1, continues today with its newest satellite, Landsat-9, launched on 27 October 2021. The Landsat-9 data have been freely distributed since 10 February 2022 on the ... -
Landslide susceptibility mapping and hazard assessment in Artvin (Turkey) using frequency ratio and modified information value model
(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 ... -
Machine learning based forest fire susceptibility assessment of Manavgat district (Antalya), Turkey
(Springer Link, 2023)This study primarily aims to produce forest fire susceptibility maps for the Manavgat district of Antalya province in Turkey using different machine learning (ML) techniques. Forest fire inventory data were obtained from ... -
Machine learning-based snow depth retrieval using GNSS signal-to-noise ratio data
(Springer Science and Business Media Deutschland GmbH, 2022)GNSS-IR enables the extraction of environmental parameters such as snow depth by analyzing signal-to-noise ratio, indicating the strength of the GNSS signal. We propose a machine learning (ML) classifcation approach for ... -
Mapping surface deformation using SNAP-StaMPS after Seferhisar-Izmir earthquake
(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 ...