Technologies
- ArcGIS
- JavaScript
- UAV
- .Net
- Python
- PostGIS
- GeoServer
- Leaflet
Leaflet
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.
Increasingly more mapping and geographical tasks can be solved with Unmanned Aerial Vehicles (UAVs), for example industrial survey and inspection, 3D modeling and land use management. While the use of UAVs significantly improves efficiency, the ever-increasing amount of collected data requires specialized infrastructure for data storage and maintenance.
- C++
- QGIS
- PostgreSQL
- GDAL
- LIDAR
- Qt
- Java
- Civil 3D
- MapXtreme
- PHP
- MySQL
- GNSS
- GPS
- DotSpatial
- GlobalMapper
- SpatialLite
- MapInfo
- CityEngine
- Inpho
- Orfeo ToolBox
- Machine learning
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?