For creation of routable maps for handheld navigation devices, the project objectives were as following: creation of base/detailed map; development of raster maps for higher-end models of handheld GPS units: referencing and calibration of custom raster maps with a very fine scanning resolution; maintenance of network topology; POI database update and maintenance.
A major regional provider of fiber optic cabling solutions needed to install new fiber optic cable in a recently constructed neighborhood to provide the benefits of modern connectivity to residents. Intetics’ client, which owns 40% of the Ukrainian cable television and broadband Internet market, is aggressively expanding its coverage into new areas. As it enters new neighborhoods and cities, the company frequently competes head-to-head with other cabling providers. As a result, it is critical for its installations to be done quickly, on time and with zero gaps in service to end -users -especially in Ukraine’s biggest cities.
In creating a specialized GIS of the flooded Ukrainian territories on the QGIS platform, it was necessary to shift the existing process from processing data using paper questionnaires to GIS processing.
Project objective was to help a cadaster agency update interactive land use maps for better land resources administration and management.
The client was dissatisfied with existing land use maps, but did not have the geo-expertise to improve the maps internally. They wanted to update the information contained in the interactive land distribution maps that are frequently used by farmers and land owners to monitor land use coverage. The client was looking for a partner to revise existing data and find latest land use and land cover data of a specific area without onsite investigation. They needed a partner able to analyze remote sensing data and satellite images, organize data, and map the results.
The main government organ in charge of road construction and management in Ukraine wanted to create efficient aerial view maps to help them manage important regional roads. They did not have the capacity to develop these maps internally and were looking for a partner capable of creating highly detailed orthophoto-based maps and integrating them with CAD (Computer-Aided Design) systems. Specifically, they wanted a photogrammetry team to process high resolution aerial photo images obtained from an external source, organize spatial data, and perform stereophotogrammetry mapping (piecing multiple aerial view images together). The goal was to create high quality and highly detailed ortho-based maps (scale 1:500) that covered a 25 sq km area and documented features normally found on topographic maps, such as vegetation, water ways, roads, and other man-made and natural features.
Project objective was to source and clean geospatial data and create a map of parks and recreation areas in major US cities, which will enrich the provider’s app, enabling users to make better location decisions.
The client produces detailed hyper-local analyses and informative visuals using urban analytics. Their product is an application that makes location-based decisions, such as property investment or new store location, quicker and easier. The client’s main focus is software development and algorithmization, but this project involved atypical tasks for them: collecting different types of spatial and non-spatial data from a variety of open sources and processing them to create consistent and accurate maps. While part of the data could be taken from open public sources and licensed, some data had to first be collected and structured appropriately.
Project objective was to develop and integrate a plugin that requests WMS imagery tiles for selected territories for one of the largest cartographical companies in Ukraine.
As part of participation in a tender, Ukraine’s largest map maker had to perform a pilot project that involved creation of electronic maps. The client needed to act quickly to show new potential customers the effectiveness of their work. While they were satisfied with the software they were using, there was some room for improvement.
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.
Land use agency decided to use drone-captured images to update their existing cadastral maps, because it is a cheap, precise and real-time data capture method. The map update was necessary for the agency to accurately define lot boundaries and manage land resources effectively. The agency, however, did not have the geo-expertise to process captured images or build topographical plans based on the derived data. They needed a partner who would be able to analyze the UAV images, organize and process data, and map the results. The task was further complicated by the fact that the data was captured by different types and models of UAVs and cameras, creating a myriad of data formats. The data captured was also frequently in violation of traditional survey techniques, requiring special attention.
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