- Data Processing
Data Processing
For an oil pipeline operator, pipeline monitoring accounts for a significant portion of their operations costs. Their pipeline network stretches for hundreds of kilometers through hard-to-reach areas that are often inaccessible to terrestrial vehicles. For a long time, the only available way to monitor the pipelines was with foot patrols and helicopters. These monitoring processes, however, were not comprehensive enough, as many sections of the pipeline were still located in swampy and wooded areas and could not be inspected.
Irregular monitoring meant that accidents were frequent on the line, causing big environmental and economic damage. The oil transport company was looking for a partner who could help them improve their monitoring process using the latest technology.
Project objective was to create a new master plan and perform 3D city analysis for the City of Kharkov’s Department of Architecture and Urban Planning that incorporates urban indicators and identifies problematic areas for urban planning.
The second largest city in Ukraine wanted to create highly detailed 3D urban maps based on existing GIS and CAD data. They wanted to quickly and efficiently update their existing master plan of the city, analyze the urban environment, and identify urban planning challenges. The City did not have time or resources to conduct the analysis and detailed research required, which had to incorporate numerous town planning conditions, requirements, standards, and urban indicator calculations. They needed a reliable partner to create an accurate master plan and perform analysis of the urban environment.
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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.
Power lines require regular maintenance to ensure all structural elements are supported. This requires systematic servicing of power line components such as transmission lines and tangent towers among other things. These inspections include complex procedures designed to prevent premature degradation and destruction of power line parts. Furthermore, the company must ensure quality and timeliness of inspections to guarantee power line safety during servicing. To assess the condition of power lines and decide which lines need maintenance, the client chose to conduct a LiDAR survey using UAV. This was the quickest and cheapest option, compared to conducting a similar airborne LiDAR survey. The one drawback of this approach is that the UAV with LiDAR on board provides raw data. Therefore it requires specific, expensive software to process, highly qualified specialists and expertise in cloud of point analysis, 3D analysis, and GIS. Not having such expertise in-house, the energy company was looking for GIS specialists with LiDAR data analysis expertise to successfully use their survey data.
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 design a new data collection process so a leading map maker can provide the most up-to-date maps to their users and stay ahead of competition.
The digital map provider can remain a leader in the industry only if their maps remain accurate and up-to-date. To collect accurate information, the map provider typically collects geo data from geotagged videos that are collected by field teams using specialized vehicles with video cameras. The field teams regularly visit assigned areas to record changes and update the client’s maps accordingly. Changes, however, can occur more often than the regularly scheduled field trips. Yet, these changes need to be reflected in client’s maps as soon as possible, or they will begin losing users. To ensure changes are recorded as quickly as possible, the client asked Intetics to come up with an alternative solution to gathering and verifying geodata.
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.
A major European construction consulting company needed to develop an electronic system for long-term scheduling of residential development. The client specialized in assisting their customers with choosing best locations for new buildings. The choice of suitable locations was based on a comprehensive analysis of urban development, using satellite images, ecological and social data, traffic information, and city master plans.
Project objective was to automate collection, analysis and integration of survey information about lottery ticket sales from the lottery operator’s network of retailers.
A Canadian lottery operator relies strongly on their retail network for sales of lottery tickets. The operator must monitor how intermediaries carry the product; they are required by law to regularly inspect licensed vendors to ensure adherence to regulatory and policy requirements.
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.
Europe’s major geospatial services provider needed to update information in their POI (point of interest) database. This database needs to be updated regularly with new POIs from around the word. The updates have to be carried out quickly in order to provide users with the most relevant information. The database update process included spatial analysis, data processing and geodatabase editing. All POI data were obtained from various sources and required verification and complex analysis. Up to now, most of the update work has been performed manually. Despite the fact that the client was experienced in spatial analysis and geospatial data processing, they needed an extra set of resources to process the big amount of data.
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 create a web application for a young start-up company that offers web services to farmers for better farm management.The goal of the start-up owners was to create an app that would consolidate agronomic data and make farm management easier. First, they needed a specialized information system that would contain the necessary data. The data from various data providers had to be aggregated into a local database, analyzed and delivered to app users in a format that allowed for quick and comfortable decision making about farm management.
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.
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.
Ukraine’s second largest city, Kharkiv, contains numerous parks and recreation areas that provide different services and amenities. The recreation areas are managed by the Department of Communal Services. To make information more accessible to the public, the Department wanted to build an accessible Web-GIS based application. The app needed to help citizens locate a park and obtain information about recreation activities in their community, find parks or recreation areas near them and help discover activities that interest them.
The municipality needed a unified municipal system that would integrate GIS into its daily operations, such as planning and management of major city departments, establish standard format for municipal geospatial data and share geospatial data with the city’s other departments, agencies and citizens.
The municipality is one of the biggest government structures in the client’s country and includes 27 departments with over 15,000 employees that provide over 100 services for city residents. The municipality needed a new platform that would allow the departments to collaborate and work together in an effective way. The platform had to enable high performance, accuracy and security, without interruption, as mistakes and delays were time consuming and costly.
Intetics was approached by a representative of a major construction company. The company constructs industrial facilities in several locations in different parts of the country. It is crucial for them to know of any site issues to successfully distribute their resources and ensure well developed, timely results.
A regional cemetery operator in France decided to implement GIS-enabled CMS and get rid of outdated paper maps. GIS-based applications allow most cemetery record operations to be performed by using a displayed map. Functions such as searching, selling and interment record keeping are all done through the map interface. The agency wanted to use these GIS technologies to simplify the cemetery monitoring process and decided to find a partner capable of creating an appropriate cartographic base for such a system.
- GIS Application
- Data Collection
- Mapping
- Web GIS
- 3D Modeling & Analysis
- Drone Data
- Geospatial Analysis
- Dedicated Center
- Consulting
- CMS
- Data Conversion
- GIS QA
Commercial vs. Open Source: A comparison of GIS Software
We are conditioned to think that high price equals high value. Because of this, we always assume that something we’ve paid for is better than something free. But is that true in every case?