GEOINFORMATICS STUDIES

Geoinformatics encompasses the acquisition, analysis, and transformation of spatial information through advanced technologies into reliable, traceable, and actionable outputs for decision-makers. At HİDROJEOTEK, geoinformatics is not treated merely as a mapping or visualization tool, but as a core analytical infrastructure for solving complex engineering and environmental problems.

Across a wide range of sectors—from mining and water resources management to environmental assessment and spatial planning—complex spatial challenges are addressed through data-driven, interdisciplinary, and engineering-based approaches.

GIS & Spatial Analysis

HİDROJEOTEK utilizes spatial data not only for visualization purposes, but as an integral component of numerical analysis, modeling, and decision-support processes. GIS-based studies enable the identification of site-specific spatial relationships and provide a scientific basis for engineering decisions.

The main scope of work includes:

  • GIS-Based Decision Support Analyses:
    Land-use planning, site suitability assessments, and spatial optimization analyses related to infrastructure and access networks.

  • Advanced Surface and Hydrological Analyses:
    GIS analyses based on digital elevation models (DEMs) to assess drainage systems, surface flow characteristics, and to identify critical environmental and social components influencing hydrological processes.

  • Thematic and Interactive Mapping:
    Thematic maps related to geological, hydrogeological, hydrological, and environmental data are delivered through interactive and web-based visualization tools, facilitating effective interpretation by technical experts and decision-makers.

Spatial Database Management & QA/QC

In large-scale engineering and environmental projects, the accuracy, integrity, and standardization of spatial data are critical to the reliability of analytical outcomes. HİDROJEOTEK considers data management as a fundamental component of project success.

Key activities include:

  • Data Integration and Standardization:
    Spatial datasets from diverse sources are transformed into compliant national and international coordinate reference systems, ensuring consistency and interoperability across formats.

  • Spatial Database Design and Optimization:
    Physical and logical data structures are defined to develop optimized spatial database architectures that support efficient analysis and reporting workflows.

  • Quality Assurance (QA/QC) and Topology Controls:
    Comprehensive QA/QC procedures and topology rules are applied to ensure data accuracy, consistency, and integrity. This approach guarantees traceability and reusability of analytical outputs.

Remote Sensing & Analyses

Remote sensing techniques enable the monitoring of environmental processes and spatial changes across large areas and extended time scales. At HİDROJEOTEK, remote sensing data are integrated with GIS infrastructures to support engineering and environmental analyses.

Primary areas of application include:

  • Temporal Change and Trend Analyses:
    Monitoring wetland boundary changes, land use and land cover dynamics, natural resource inventories, and environmental trends using multi-temporal satellite imagery.

  • Natural Hazard and Risk Assessments:
    Evaluation of natural hazard-prone areas—such as landslides and flood zones—through remote sensing and spatial analysis techniques to identify spatial risk patterns.

  • Advanced Image Processing and Spectral Analyses:
    Object-based image analysis, image classification, and spectral evaluation of physical characteristics of geological units using multi-spectral and multi-band satellite data.

  • UAV (Drone) Data Processing:
    Processing of data from Unmanned Aerial Vehicles to generate high-resolution Digital Surface Models (DSM) and orthophoto maps.

Methodological Approach & Data Standards

HİDROJEOTEK conducts geoinformatics studies through a software-independent, engineering-oriented methodology. Analytical tools and workflows are selected based on project requirements, data complexity, and intended application.

  • Open-Source and Industry Standards:
    Open-source ecosystems and industry-standard tools are integrated and optimized according to data structure, analytical needs, and client requirements.

  • Quality Assurance Discipline:
    International Quality Assurance (QA) and Quality Control (QC) protocols are applied throughout all stages of data production, analysis, and reporting to ensure technical reliability and institutional usability.

Geoinformatics studies constitute a fundamental pillar supporting HİDROJEOTEK’s hydrological, hydrogeological, and environmental engineering analyses. This spatially driven approach ensures that engineering decisions are made within a scientifically sound, transparent, and traceable framework.

Scroll to Top