GIS (Geographic Information Systems), Remote Sensing and spatial decision support
Geoinformatics encompasses the production, organization and analysis of location-based data and its transformation into technical information that can be used in decision-making. HİDROJEOTEK treats GIS (Geographic Information Systems) and Remote Sensing not merely as map-production tools, but as a traceable analytical process in which data quality, methodological choices, spatial relationships and uncertainties are assessed together.
Geoinformatics services can also be delivered as an independent work package for projects that do not include hydrogeology or numerical modeling. Spatial database development, digitization and georeferencing, processing of satellite or UAV/drone imagery, change detection, suitability and constraint assessment, technical cartography and web-map production can all be commissioned directly within the Geoinformatics scope.
For water, environmental, geological, mining, energy and infrastructure projects, spatial data can be integrated with Hydrogeology & Hydrology and Numerical Modeling. GIS and Remote Sensing outputs then provide a common data foundation for conceptual assessments, model inputs, field and monitoring plans, impact analyses and technical reporting.
Independent and integrated services from data preparation to spatial decision support
The following components can be delivered individually or combined within a common GIS and Remote Sensing workflow. Data sources, resolution and analytical detail are selected according to the project objective and decision need.
GIS data preparation and multi-source integration
Printed and digital maps, field measurements, institutional datasets, CAD drawings, raster data and vector layers are integrated within a common coordinate and data structure; digitization, georeferencing and data conversion are undertaken.
Spatial database design and QA/QC
Layer schemas, attribute fields, code lists and data relationships are designed; coordinate reference systems, topology, geometry, completeness, consistency and duplicate records are checked to establish reusable GIS databases.
Digital terrain, catchment and drainage analyses
Slope, aspect, relief, flow direction, flow accumulation, drainage networks and catchment boundaries are derived from digital elevation models, allowing terrain form and surface-flow relationships to be assessed at the project scale.
Remote sensing and multi-temporal change detection
Satellite, aerial and, where appropriate, UAV/drone imagery is assessed using preprocessing, classification and change-detection methods to compare changes in extent, boundaries and trends across different dates.
Water, wetland, land-cover and vegetation monitoring
Surface-water extent and shorelines, wetland boundaries, land cover/use, vegetation indicators and snow cover can be monitored through multi-temporal data while accounting for seasonality, spatial resolution and comparability.
Suitability, constraint, sensitivity and risk analyses
Site or corridor selection, environmental constraints, sensitive areas, vulnerability, impacts and prioritization questions are assessed using multi-criteria spatial analysis, with criteria and weighting assumptions explicitly documented.
Technical cartography, sections and 3D visualization
Thematic map series, profiles and sections, three-dimensional surfaces and explanatory graphics are prepared for technical reports, presentations and decision processes, with consistent scale, legend, coordinates and source information.
Web maps, monitoring interfaces and spatial decision support
Queryable web maps, monitoring layers and spatial-indicator interfaces can be developed to suit project requirements, bringing field, analytical and reporting data into a shared structure accessible to project users.
A spatial-analysis process with traceable sources and transformations
The work defines the question a map or dataset must answer before determining how it should look. Data provenance, coordinate reference systems, processing steps, analytical criteria and limitations of use are documented throughout the workflow.
Purpose, scale and data inventory
The decision question, study area, target scale and delivery format are defined; available layers, imagery, field data, date ranges, coordinate systems and conditions of use are inventoried.
Data preparation and quality control
Data are transformed into a common structure and checked for geometry, topology, attributes, positional accuracy, resolution and temporal comparability to establish an analysis-ready dataset.
Spatial analysis and validation
GIS and Remote Sensing methods are applied according to the technical question; results are checked against source data, known references and field observations where available. Limitations of classification and change-detection results are stated.
Delivery, documentation and updating
Maps, layers, databases, tables or web outputs are delivered within an organized structure, accompanied by documentation of the data dictionary, methods, sources, dates and any required update procedures.
A stand-alone service package or the spatial backbone of other disciplines
A Geoinformatics project does not have to include hydrogeology, hydrology or numerical modeling. Requirements involving GIS databases, data conversion, mapping, Remote Sensing, change detection, suitability or constraint analysis and digital spatial outputs can be scoped and delivered independently.
Where a project includes questions related to water systems or environmental impacts, the same spatial foundation can be integrated with field planning, conceptual models, numerical-model inputs, monitoring design and technical reporting. Data are therefore organized once and used consistently across successive technical stages.
Stand-alone Geoinformatics services
HİDROJEOTEK can prepare independent work packages for organizations and projects requiring only Geoinformatics, including GIS data preparation and management, Remote Sensing, spatial analysis, technical cartography and digital mapping outputs.
Outputs that make analyses reusable and decisions traceable
Geoinformatics deliverables extend beyond visual maps. Source data, processed layers, methods and quality information are assembled into a spatial work package that can be reviewed, reused and updated when required.
Structured GIS data package and metadata
Reusable spatial datasets are supplied with documented layer names, attributes, codes, coordinate reference systems, data sources, dates and production methods.
Spatial-analysis layers and traceable workflow
Intermediate and final layers from terrain, catchment, drainage, suitability, constraint, sensitivity or risk analyses are documented together with the inputs, criteria and processing steps used.
Change datasets and methodological limitations
Classes, area statistics, change layers and time series derived from satellite or aerial imagery are presented with their resolution, acquisition dates, validation opportunities and interpretive limitations.
Maps, web maps and decision-oriented visualization
Technical maps, sections, three-dimensional graphics or interactive spatial outputs are organized so that decision-makers can clearly assess the principal relationships and priorities.
Related expertise and technical outputs
Geoinformatics can be delivered independently. Where required, field and water-system assessments are integrated through Hydrogeology & Hydrology, while quantitative scenarios and impact analyses are supported by Numerical Modeling. Available reports, maps and project outputs are presented on the relevant technical-study pages.
Let’s define your GIS, Remote Sensing or spatial-analysis requirements
Share the project area, available data types and coordinate systems, assessment dates, technical question and expected delivery format so that an appropriate Geoinformatics scope can be defined.