With the growing population, the effective use of resources has become increasingly important, making the implementation of accurate policies essential for urban studies. This study aims to present an open-source, reproducible, ...

Cultural heritage encompasses the tangible and intangible aspects of our common human experience, including monuments, historical sites, artifacts, traditions, languages, rituals, music, literature and more. Modeling ...

The components of gravity vector, oftenly the vertical component, or the gradients can be measured with a particular accuracy and resolution from ocean floor to space using gravimeters or gradiometers on stationary and ...

In this study, optical remote sensing methods were utilized for the detection and analysis of glaciers located on Mount Cilo in the Hakkari province of Turkey, commonly referred to as the Cilo Glaciers. In addition to a ...

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 ...

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 ...

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, ...

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 ...

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 ...

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, ...