GIS is an essential component in many decision and management processes. A well-structured GIS provides invaluable tools to visualize, analyze and query geospatial data and associated information about features and objects in both the natural and built environments. Because a GIS database can contain information on a wide variety of features and terrain, it is commonly built and maintained using information produced by a broad range of input and data sources.
As applications for GIS data expand, so does the demand for new and efficient ways to collect and deliver quality, actionable spatial data from the field. Satisfying the seemingly insatiable demand for data doesn’t always involve traditional GIS field technicians. Certain types of geospatial data can be produced by the general public. And in some cases, data collection doesn’t involve humans at all.
The Triple Play of Data Collection
Today’s widely available options for connectivity and Internet-based communications are enabling new approaches to collecting and using GIS information. We can divide the techniques into three broad classifications: crew sourced, crowd sourced and automated acquisition.
