Geomatik Mühendisliği Bölümü
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Development of a Gis-Based Approach for the Risks Sourced From Natural Hazards on the Natural Gas Pipelines in Türkiye
(Fen Bilimleri Enstitüsü, 2024-07-09)The reliable operation of natural gas pipelines is of vital importance in meeting the energy demands of contemporary societies. However, the integrity of these pipelines is often compromised by geological hazards. This ... -
DETERMINATION OF THE OIL PIPELINE ROUTE, OIL SPILL PATH AND VOLUME OF OIL BY MULTI-CRITERIA ANALYSIS
(Fen Bilimleri Enstitüsü, 2024)This thesis study focuses on implementing Geographical Information Systems (GIS) to identify potential spill locations and estimate crude oil pipeline routes. A groundbreaking approach introduces a least-cost path algorithm, ... -
Development of A Deep Learning Approach for 3Dimensional Point Cloud Classification
(Fen Bilimleri Enstitüsü, 2024-09)3D point cloud classification is a crucial step in point cloud processing, as it serves as the foundation for subsequent processes that rely on the classification results. With the increasing volume of 3D point cloud ... -
An Approach for Multi-Hazard Susceptibility Assessment For Landslides, Earthquakes And Floods
(Fen Bilimleri Enstitüsü, 2023-03-29)Production of precise and up-to-date susceptibility maps at regional level is essential for mitigating disasters, selecting new sites for settlements and construction, and planning in areas prone to various natural hazards. ... -
Evaluation of The Digital Elevation Models Obtained From Göktürk-1 Satellite Data
(Fen Bilimleri Enstitüsü, 2024)A Digital Elevation Model (DEM) is a model that uses the elevation information of the ground to define the land surface in three dimensions using mathematical equations. Because of its benefits, including speed of production, ... -
Exploring the Relationship Between Remote Sensing Research and the Sustainable Development Goals
(Fen Bilimleri Enstitüsü, 2024)The Sustainable Development Goals (SDGs), adopted by the 193 member states of the United Nations in September 2015, aim to address the challenges and barriers to sustainable development for the betterment of humanity and ... -
GIS Based Solar Pv Power Plants Site Selection: A Case Study in Ankara
(Fen Bilimleri Enstitüsü, 2024-07-10)The rapidly increasing population and developing industry worldwide are increasing the demand for energy every day. The fact that non-renewable energy sources are both limited and harmful to the environment has made it ... -
Burned Forest Area Mapping From Post-Fire Sentinel-2 Imagery Using Object-Based Machine Learning Classification
(Fen Bilimleri Enstitüsü, 2024)Forest fires cause serious damage not only to the ecosystem in the forest but also to social and economic life. Rapid detection of burned areas with remote sensing methods is important both to determine the current damage ... -
A Sustainable Municipal Gis Study with Urban Design Criteria and Policy
(Fen Bilimleri Enstitüsü, 2024)The escalating population in urban areas underscores the critical importance of managing and planning cities effectively. Ensuring the sustainability of cities and creating livable spaces for people necessitates the planning ... -
EcoSnap: A Mobile Application for Enhancing Governance and Addressing Environmental Issues in Smart Cities
(Fen Bilimleri Enstitüsü, 2023)With the increasing population and urbanization, urban planning has become a complex and challenging task. In recent years, the concept of smart cities has emerged as a potential solution to these challenges by integrating ... -
SAR ve optik uydu verileri kullanılarak taşkın haritalamasi için füzyon yöntemi geliştirilmesi
(Fen Bilimleri Enstitüsü, 2023)In this thesis, a feature-level data fusion methodology was developed using the random forest (RF) approach, which is one of the frequently utilized machine learning methods for natural hazard assessments. For this purpose, ... -
Comparative Calculation of 3-Dimensional Surface Area and Water Flow Direction from Digital Elevation Models: A Case Study For The Agricultural Land in Eskisehir-Cifteler Irrigation
(Fen Bilimleri Enstitüsü, 2023-06-23)The significance of agricultural production and, consequently, numerous agriculture-related parameters are becoming the primary focus of the digitalized world, and with the 2019 pandemic, the significance of food was ... -
Comparison of Single, Dual and Triple Frequency Cycle-Slip Detection Methods for Multi-GNSS
(Fen Bilimleri Enstitüsü, 2023-09-14)Global Navigation Satellite Systems (GNSS) is now widely recognized as a revolutionary invention in navigation and precise positioning on the Earth. The development of positioning systems from space, which started with GPS ... -
Sunflower Yield Estimaton Using Synthetic Aperture Radar and Optical Data
(Fen Bilimleri Enstitüsü, 2023)The scope of the presented thesis, it is aimed to obtain highly accurate yield estimation by applying Artificial Neural Networks (ANN) and Simple Linear Regression (SLR) methods on sunflower parcels in a certain area using ... -
Havalimanı Ağaç Mânialarının Tespiti ve İncelenmesi: Tokat Örneği
(Fen Bilimleri Enstitüsü, 2023-03)One of the most important factors to consider when establishing an airport is the natural and artificial structures inside and outside the airport. These natural and artificial factors may cause the limitation of take-off ... -
Automatic Reconstruction and Efficient Visualization of 3D City Models
(Fen Bilimleri Enstitüsü, 2023-04-19)Today, migration from rural areas, continuous change in cities and the increasing complexity of their structure yielded the need of new methods to increase efficiency in their management. The demand for 3 dimensional (3D) ... -
A Hybrid Strategy for Generating Digital Terrain Model From Dense Digital Surface Model Using Cloth Simulation Filter and Total Variation Regularization
(Fen Bilimleri Enstitüsü, 2022)A Digital Elevation Model (DEM) is a general term used to express the virtual representation of the height values of the Earth's surface. Two of the most widely used DEM types are Digital Surface Model (DSM) and Digital ... -
Object-Based Urban Land Cover Extraction Using the Synergy of Lidar Data and Very High Resolution Multispectral Imagery
(Fen Bilimleri Enstitüsü, 2023-04)Up-to-date urban land cover information plays a critical role for urban planning and management. In this study, an approach was presented for classifying urban land cover types using the integration of very high ... -
Assessment of Machine Learning Methods for Mass Real Estate Appraisal
(Fen Bilimleri Enstitüsü, 2022)In this thesis, the use of machine learning (ML) approaches for the purpose of real estate mass appraisal was investigated using five different methods in a large area considering the efficiency, accuracy, and transparency. ... -
In and End of Season Soybean Yıeld Predıctıon Wıth Hıstogram Based Deep Learnıng
(Fen Bilimleri Enstitüsü, 2022)Depending on climate change and global warming, the yield obtained from agricultural activities is gradually affected. Farmers, government institutions, agricultural insurances need applications that can provide decision ...
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