• ArcGIS
  • JavaScript
  • UAV
  • .Net
  • Python
  • PostGIS


    There was scarcely a blank space on the European map of client’s data base. To concur with global competitors, the company was sorely in need of quick and quality update of their parking coverage in Europe and then keep all data up to date. They had launched separate department to handle European database from the beginning to the very end. Newly established department had no experience of managing large teams which would require to perform all the work. The processes they followed were simple and fine for a small team of a family type but new task required another approach. Additional challenge was that the task specifics and a tool itself were completely new for anyone, so there were no ideas how to estimate timelines.

    The Client is one of the leading location-based data solution providers. To improve the accuracy of their software platform, the company needed to find highly elusive addresses and fill gaps in their location databases. The new information was to be integrated with the Client’s existing software services platform to help expand their business processes.

    The Client needed to increase their database of verified, valid geographic locations and their addresses in Canada by over 80% in 8 months. They searched for a reliable partner with experience in collecting different types of data such as addressable objects, high precision coordinates, points of interests, and potential for flood and other hazards for all locations in Canada where addressable objects were a priority. The Client needed to get at least 100,000 addresses, but their team was severely hindered by slow access to data, because of manual access requirements on most websites. The project was complicated by the fact that the address search had to be done in two languages simultaneously, due to the bilingualism of the country, and as a result took a much longer time to complete. Facing severe data access problems and slow project completion times, the Client chose Intetics as their data collection partner to get fast and accurate project results.

    Project objective was to help a major GIS solutions provider build a data processing center to enhance their map-making capabilities in Eastern Europe.

    The geospatial solutions provider already had data that covered a multitude of countries on all continents and faced growing demand, but they lacked data about the Eastern European region. To provide a full spectrum of geographic information to their users, the GIS provider needed to find a strategic partner in Eastern Europe able to set up an offshore center to process geographic data quickly and cost-effectively. The data processing center had to be completely dedicated to the client, and required competent and technically skilled staff to return a highly accurate product. It had to be fully secured to ensure data protection, and it had to be scalable to match the scope of each project.

    Project objective was to help a regional electricity supply company automate management work and provide relevant information to users.

    A power distribution infrastructure requires constant monitoring and reporting. An existing application that was used by the electricity provider didn’t provide sufficient performance and didn’t have a proprietary license. They wanted a modern web-mapping application with interactive user experience, where the user could display geographic layers of power distribution systems based on open-source GIS technologies.

    Project objective was to help the Kharkiv Department of Ecological Inspections develop and integrate a new mobile and web application to monitor legal violations and misuse of natural resources in a national park.

    The “Slobozhanskiy” National Park is a 5,244 hectare area located in an industrialized region that requires constant monitoring for ecological violations. Until recently, 35 inspectors from the government agency recorded violations and other geospatial information on paper and then input the data at the office using desktop GIS solutions. The agency wanted to use latest technologies to simplify the monitoring process and decided to find a partner capable of end-to-end development of a new cross-platform geoapplication, functional in the field and at the office. The application had to have multiple levels of accessibility for government staff and other non-commercial and remote collaborators. It had to receive violation claims remotely and record their exact coordinates. It had to allow editing of related spatial information, such as location and condition of fences, buildings, roads etc. It had to track the status of violation claims, generate map reports with violation locations, and use various geospatial data resources using WMS, TMS and REST standards. Finally, the application had to be easily maintained, cost-effective and integrate with existing databases.

    The objective: to develop and implement reliable, public sources of information for Ukraine’s protected areas based on open source GIS solutions, helping the National Ecological Centre of Ukraine (NECU) maintain protected areas and decrease human impact on the environment.

    The NECU, a major nongovernmental, non-profit ecological association in Ukraine partnered with Kyiv’s OSGeo Research and Education Lab at Taras Shevchenko National University to make information about nature conservation areas in Ukraine publicly accessible. The project was crowd-sourced and launched in 2014. Up to this point, the only source of public information and data about protected areas was in paper and raster data formats. The two organizations wanted to create a cadaster web application that would show the borders of Ukraine’s protected areas, but needed more GIS development expertise.

    The client’s existing web application didn’t include functionality that would allow its users to create custom map orders. The client wanted to improve their application with a modern web mapping tool based on open source technologies. Several functionalities needed to be included: display base cartographic layers and satellite images, display thematic layers of nomenclature grids, and search by address and name of nomenclature grid. Cost was a factor, as the client wanted to keep costs down during system deployment. The new web application also needed to be adapted for mobile devices and have intuitive graphic user interface.

  • GeoServer
  • Leaflet
  • PostgreSQL
  • C++
  • QGIS
  • GDAL
  • Qt
  • Java
  • Civil 3D
  • MapXtreme
  • PHP
  • MySQL
  • GNSS
  • GPS
  • DotSpatial
  • GlobalMapper
  • SpatialLite
  • MapInfo
  • CityEngine
  • Inpho
  • Orfeo ToolBox
  • Machine learning

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