Geospatial Data Editing for Autobahns, Bridges, and Roads

Looking for a similar project?

Project Details

Our team was tasked with editing and updating a comprehensive database of autobahns, bridges, and roads spanning 1600+ km. The primary goal was to ensure the accuracy and relevance of the data. Using QGIS, we meticulously verified and corrected the geometric accuracy of the infrastructure data, updating attributes to reflect the types of roads, bridges, and autobahns.

Client: Environmental protection company, specializing in air emission measurements, wastewater analysis, waste management, and environmental noise assessment.

Sector:

  • Geospatial Analysis
  • Geographic Information Systems (GIS)

Sub Sector: Infrastructure Data Management

Services:

Solution:

  • Data Verification
  • Geometric Correction
  • Attribute Enhancement
  • Quality Assurance

Location: Poland

Technology and Software:
For editing geometric vector data, creating attribute databases, and performing topological checks, we utilized QGIS.

People:
GIS-Point assembled a specialized team comprising 8 GIS professionals, including quality controllers and project manager, to tackle the project. At the project’s initiation, the client provided a comprehensive training session lasting several hours. This training was essential to familiarize the team with the project’s specific requirements, methodologies, and data processing standards.
Following the training, the GIS-Point team meticulously organized the workflow based on the outlined technical specifications. Quality controllers ensured the accuracy and consistency of data throughout the process, implementing rigorous validation and verification procedures. Project managers coordinated tasks, monitored progress, and facilitated communication to maintain alignment with project goals and deadlines.

Process & Challenges

Process:
The process began with collecting and integrating various geospatial data sources, including orthophoto maps, Street View imagery, and topographic maps. Our team utilized QGIS to import and overlay these datasets, creating a comprehensive framework for data analysis.
We meticulously verified the existing data by cross-referencing it with real-world conditions. This involved inspecting each segment of the infrastructure data to identify discrepancies and inaccuracies. Using QGIS, we corrected the geometry of roads, bridges, and autobahns, adjusting their positions and shapes to align with the actual features represented in the auxiliary materials.
In parallel, we enriched the attribute tables by adding detailed information about the types of infrastructure objects. This included specifying the classifications and characteristics of roads, bridges, and autobahns, which were essential for enhancing the data’s utility and precision.
Throughout the process, we conducted rigorous quality assurance checks. This involved validating that all corrections and updates were accurately reflected and consistent across the database. The final review ensured that the updated geospatial data met the highest standards of accuracy and reliability.

Challenges:
The project faced several challenges, including the extensive 1600+ km length of infrastructure requiring updates. Analyzing a diverse range of input materials – orthophoto maps, Street View imagery, and topographic maps – required detailed examination and cross-referencing. The need for accurate comparison and integration of this data, along with making precise adjustments to geometry and attributes, added to the complexity of the task.

Result

The project successfully updated the geospatial database, improving the accuracy and reliability of infrastructure data in Poland. This enhancement supports better decision-making and planning for infrastructure development.

Our Team

Ievgen Lavrishko
CEO & Owner
Khrystyna Bochko
HR Generalist
Alevtyna Kostianchuk
Senior Project Manager
Andriiana Pavlyshyn
Head of Business Development
Roman Nahaiovskyi
Project Manager
Maria Kizim
Lead Generation Specialist
Ivanna Soltys
Tender Manager

Navigating Our Impressive GIS Portfolio

  • GIS Analysis for Determining Optimal Locations for Wind Farms

    Location:

    Australia

    As part of the project, we developed KML files to depict various constraints within the study area. Moreover, we produced wind speed images using data from the global wind atlas.
  • Automatic tree recognition from orthophotos

    Location:

    Germany

    Automatic Tree Recognition with ArcGIS Pro is a project that aims to develop and implement an algorithm for automatic recognition of tree species based on remote sensing data.
  • Digitizing utility service connections

    Location:

    Canada

    The project encompasses the digitization of utility service connections, specifically for water, sewer, and storm services, spanning across 12,706 properties (parcels) within the City.
  • Fulfillment of government orders to create and update databases

    Location:

    Poland

    The databases are created and updated by vectorizing existing raster data (topographic maps), orthophotomaps and processing geodetic files and land documentation (by coordinates and sketches).
  • Precision 2D Vector Map Creating at 1500 Scale

    Location:

    Latvia

    Precision 2D Vector Map Creating at 1500 Scale

Working on the Project:
A Step-by-Step Journey to Success

01

PREPARATION

You give us a pilot project – set us a
task, provide samples, templates,
instructions.
02

PILOT PROJECT

We carry out this pilot project
for FREE, according to all your
instructions.
03

AGREEMENT

You evaluate our work, we agree on
the cost of further work.
04

LET’S STARTED!

We sign a cooperation agreement and
NDA, after which our team gets to
work.

Have a similar project?

Contact us, we’ll help with its implementation.

    United Kingdom

    Devonshire str., 41, Ground Floor, London W1G 7AJ, UK

    Estonia

    Harju maakond, Tallinn, Kesklinna linnaosa, Kaupmehe tn 7-120, 10114, Estonia

    Ukraine

    Ukraine, Lviv, Sadova street, 2a/1
    +380672088520 Ievgen Lavrishko
info@gis-point.com