Erişim şekli için "info:eu-repo/semantics/closedAccess" Harita Mühendisliği Bölümü Yayın Koleksiyonu listeleme
Toplam kayıt 34, listelenen: 1-20
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Accuracy assessment of direct georeferencing UAV images with onboard global navigation satellite system and comparison of CORS/RTK surveying methods
(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 ... -
Agricultural land use suitability analysis using GIS and AHP technique
(Elsevier, 2013)The aim of this study was to determine suitable lands for agricultural use in the Yusufeli district of Artvin city (Turkey), where the current agricultural land in the district center and 3 villages will be completely ... -
Assessment of changes in masseter muscle by three-dimensional close-range photogrammetry after Botulinum toxin type-A injection: A case report with review of literature
(Pakistan Medical Assoc, 2019)Masseter muscle hypertrophy (MMH) is a benign, unilateral or bilateral, painless enlargement. Treatment protocols include surgical excision or a non-invasive option, using botulinum toxin type A (BTX-A). There is no ... -
Assessment of rainfall-induced landslide susceptibility in Artvin, Turkey using machine learning techniques
(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 ... -
Automated extraction of road information from UAV-based data
(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 ... -
Comparing classical statistic and machine learning models in landslide susceptibility mapping in Ardanuc (Artvin), Turkey
(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, ... -
Crowdsourcing-based application to solve the problem of insufficient training data in deep learning-based classification of satellite images
(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 ... -
Designing a flood forecasting and inundation-mapping system integrated with spatial data infrastructures
(Springer, 2014)Turkey currently lacks a fully functional flood forecasting system (FFS). How- ever, the studies necessary for establishing such a system are still being performed by the Turkish State Meteorological Service. The main ... -
Determining the suitable settlement areas in Alanya with GIS‑based site selection analyses
(Springer Heidelberg, 2022)Urbanization, which is defned as an irreversible global-scale problem nowadays, necessitates the foundation of new settlement areas. In general, no sufcient scientifc assessment and analysis were performed during these ... -
Developing a land evaluation model for faba bean cultivation using geographic information system and multi-criteria analysis (A case study: Gonbad-Kavous region, Iran)
(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 ... -
Development and management of private property rights on coastal areas
(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 ... -
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 ... -
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 ... -
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. ... -
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 ...