Spatial data are one of the most important components of the geospatial information system (GIS), since the operation of this system requires a sufficient amount of data of such quality that they satisfy the purpose of use. Getting quality spatial data is a cost and time-consuming phase in the process of GIS implementation and maintenance.
Big geospatial data collection can be carried out using various technologies:
- digitalization of analog data sources (scanning, vectorization)
- geodetic measurements: acquisition of spatial data based on field measurements of classical geodesy and GNSS measurements (e.g. GPS technology)
- remote sensing: acquisition of spatial data based on satellite or radar images
- photogrammetry: acquisition of spatial data based on stereo pairs based on aerial images
- combined capture: spatial data acquisition based on field measurements combined with other data capture technology
- other records: the purchase or acquisition of spatial data from public records or databases of other sources
The task of obtaining data is not only a single data capture, but also the updating and completing of existing spatial databases with new and fresh data.
When big geospatial data collection?
Big geospatial data collection is required:
- when you want to GIS consulting and solution implementation
- when you want to supplement or update a spatial database
- when you need new data layers of the GIS
- when you need to convert analog data to a digital format
- when you need field measurements of a larger area
- in the land consolidation
Why big geospatial data collection?
Big geospatial data collection allows:
- high productivity of data acquisition, great time saving, less demanding fieldwork and, therefore, lower costs
- getting a real space presentation that is the basis of different analysis and queries
- implementation of new GIS functionality