Turkish Journal of LiDAR/Turkey LiDAR Journal

The Turkish Journal of LiDAR/Turkey LiDAR Journal is a platform aimed at comprehensively addressing the scientific and industrial applications of LiDAR (Light Detection and Ranging) technology. Bringing together diverse disciplines such as architecture, geology, urban planning, environmental engineering, agriculture, archaeology, hydrography, space sciences, defense, and autonomous systems, the journal seeks to showcase the multifaceted potential of LiDAR technology.

Our journal is committed to enhancing the contributions of this innovative technology to the scientific community, fostering knowledge exchange by bringing together experts from various disciplines, and building national and international collaborative networks. In addition to stationary, mobile, and airborne LiDAR systems, the journal also focuses on the integration of LiDAR with other remote sensing technologies, such as radar, multispectral, and hyperspectral imaging, to strengthen LiDAR’s role in the technological domain.

Turkey LiDAR Journal examines the unique contributions of LiDAR technology in scientific research, natural disaster management, historical structure documentation, coastal and underwater mapping studies, smart city projects, and environmental monitoring applications within a scientific framework. Furthermore, it highlights the importance of LiDAR-based solutions in terms of economic development and sustainability.

Our journal aims to promote interdisciplinary studies, strengthen collaboration between academic institutions, public organizations, and the private sector in Turkey and worldwide, and lead scientific and technological advancements in this field. The Turkey LiDAR Journal is not only a scientific publication but also a platform dedicated to contributing to the technological vision of the future.

Theoretical and applied research articles, reviews, reports, case studies, short communications, and letters to the editor related to laser scanning data are considered for publication after undergoing a peer-review process and being approved for publication. Manuscripts must adhere to scientific writing standards and are sent to reviewers for evaluation by the editorial team.

The Turkey LiDAR Journal follows a double-blind peer-review process. Decisions on publication are made by the Editorial Board based on reviewer feedback. Submitted manuscripts, regardless of whether they are accepted for publication, are not returned. The responsibility for the content of published works (scientific, professional, legal, ethical, etc.) lies with the authors. The copyright of published works belongs to the journal and cannot be reproduced without proper citation.

To foster scientific communication among researchers, the journal accepts manuscripts in both Turkish and English, provided they have not been published elsewhere. Additionally, Turkish manuscripts must include an English abstract, while English manuscripts may optionally include a Turkish abstract.

Types of Articles Accepted by the Turkey LiDAR Journal

The Turkey LiDAR Journal focuses on high-quality works highlighting the contributions of LiDAR technology to scientific and industrial domains. Maintaining its multidisciplinary approach, the journal accepts the following types of articles to promote diverse scientific content:

• Research Articles:
  Innovative studies on the applications of LiDAR technology, including data analysis, modeling methods, and integration processes, as well as applied LiDAR studies across various disciplines.

• Review Articles:
  Comprehensive evaluations of the development and current state of LiDAR technology, literature reviews on specific applications, and theoretical and practical analyses of interdisciplinary LiDAR integration.

• Technical Articles:
  Insights into technical innovations in stationary, mobile, and airborne LiDAR systems, as well as integration methods with other remote sensing technologies like radar, SAR, multispectral, and hyperspectral imaging.

• Application and Case Studies:
  Detailed analyses of the application of LiDAR technology in specific projects, including urban planning, natural disaster management, water resource monitoring, and historical structure documentation.

• Methodology and Algorithm Studies:
  New algorithms and methods for processing and analyzing LiDAR data, including machine learning, artificial intelligence, and deep learning approaches.

• Comparative Studies:
  Comparative analyses of LiDAR with other remote sensing technologies (e.g., optical images, SAR), evaluations of different LiDAR systems (e.g., bathymetric vs. topographic LiDAR), and cost-benefit analyses for specific applications.

• Innovative Applications and Future Perspectives:
  Explorations of future uses of LiDAR in autonomous systems, artificial intelligence, robotics, space sciences, climate change analysis, sustainability projects, and VR/AR platforms.
  

Copyright Transfer Agreements for all articles are obtained via a signed form. Submissions without this form will not be processed. Once a publication decision has been made, no additions or changes can be made to the manuscript by the authors.

Each submission is sent to at least two reviewers for evaluation in terms of content and format. Manuscripts deemed suitable for publication are returned to the authors after typesetting for a final pre-publication review. Any errors in the published version remain the responsibility of the authors unless the mistake is attributable to the editorial office, in which case a correction may be published.

• Extensive Applications of LiDAR Technology

• Architecture and Urban Planning:
  LiDAR is critical in documenting historical structures and designing modern urban infrastructure:
  Restoration and restitution of historical buildings.
  Detailed digital maps for smart city concepts.
  Topographic analysis and infrastructure planning for urban transformation projects.

• Earth Sciences and Natural Disaster Management:
  LiDAR is a unique tool for both surface and subsurface analyses:
  Monitoring fault lines and earthquake modeling.
  Tracking erosion, landslides, and volcanic activities.
  Damage assessment and reconstruction projects after natural disasters.

• Archaeology, Forestry, and Cultural Heritage:
  LiDAR’s ability to penetrate dense forest canopies facilitates the discovery of new archaeological sites and the documentation of historical structures:
  Documentation of archaeological sites and historical buildings.
  Digital mapping of ancient cities and roads.
  Virtual reality and 3D model integration for museums.

• Integration with Radar and Other Remote Sensing Technologies:
  LiDAR integration with radar (SAR), multispectral, and hyperspectral technologies enables more comprehensive and accurate analyses:
  Monitoring terrain deformation with SAR.
  Land cover classification by combining LiDAR with multispectral imagery.
  Comparative use of airborne and satellite-based LiDAR systems.

• Agricultural and Environmental Monitoring:
  LiDAR plays a vital role in precision planning and monitoring of environmental processes:
  Topography and drainage analysis of agricultural lands.
  Assessing the impacts of forest fires.
  Preservation of wetlands and water resources.

• Art History and Digital Arts:
  LiDAR contributes to detailed modeling and digitization processes in art history and cultural projects:
  Digital documentation and restoration of art pieces.
  Virtual museum applications and digital exhibition design.
  Digital platforms for art history education.

• Space Sciences:
  In space sciences, LiDAR is used for planetary surface mapping and landing site selection:
  Detailed analyses of Mars and lunar surfaces.
  Identifying safe landing zones for spacecraft.
  Atmospheric data collection and modeling.

• Defense and Security:
  LiDAR is extensively used for tactical mapping and operational analyses in the defense sector:
  Environmental sensing in autonomous systems (drones and vehicles).
  Border security and infrastructure mapping.
  3D modeling for tactical military operations.

• Reverse Engineering:
  LiDAR supports industrial design and production processes through reverse engineering:
  3D prototyping and design.
  Enhancing accuracy in manufacturing processes.
  Quality control in the automotive and aviation industries.

• Autonomous Systems and Artificial Intelligence:
  LiDAR is a critical component in many AI-supported systems, from autonomous vehicles to robotics:
  Environmental sensing for autonomous vehicles.
  Guidance and mapping in robotic systems.
  Object detection and classification using artificial intelligence.

• LiDAR and Geographic Information Systems (GIS):
  GIS and LiDAR Integration.
  High-Resolution Spatial Data.
  Integration of LiDAR-derived Digital Elevation Models (DEM/DSM) and 3D surface models into GIS projects.
  Accurate transfer of large and complex datasets to GIS platforms.
  3D Spatial Analysis.
  Performing three-dimensional analyses of buildings, trees, and bridges using LiDAR data within GIS platforms.
  Innovative solutions for urban planning, land use analysis, and risk assessments.
  Land and Landscape Analysis.
  Integration of LiDAR-based slope, aspect, and water flow analyses with GIS.
  Examination of pre- and post-disaster land changes.
  Infrastructure and Urban Management.
  Mapping of transportation networks and management of infrastructure assets.
  Database creation for urban projects and smart city applications.
  Environmental and Ecological Management.
  Inventorying forests, calculating carbon stocks, and monitoring watersheds.
  Land use and vegetation analyses in precision agriculture.

• LiDAR and Hydrographic Applications:
  Applications in Hydrography.
  Bathymetric Mapping.
  3D modeling of coastal areas, lakes, and riverbeds.
  Detailed mapping of seabed morphology.
  Identifying sediment structures and distributions in shallow waters.
  Coastal Change Monitoring.
  Mapping and documenting underwater archaeological sites.
  Locating shipwrecks and historical artifacts.
  Preserving underwater cultural heritage etc.

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