Geospatial technology is a collective term for tools that create datasets, like point clouds to map and analyze the earth. These technologies help us to collect data for understanding geographic areas and monitor changes or patterns in landscapes, cities and even societies.
From FARO.
What Does Geospatial Mean?
To understand geospatial technology, we must start with an understanding of the word ‘geospatial’. In simple terms, it refers to location-specific data and information related to features on the earth’s surface and their geographic area.
So, regarding what ‘geospatial’ means, it’s anything relating to a location.
What Is Geospatial Data?
Geospatial data is any data that has a geographic component to it. It can describe features, objects, or even events that have a specific location. Geospatial data will combine information about the location and attributes of an object. Location information can be either dynamic or static.
Various geospatial technologies achieve this type of data collection, like using remote sensing to collect data from a distance. For example, Unmanned Aerial Vehicles (UAVs) gather information quickly and effectively, allowing for the collection of vast amounts of data.
Examples of Geospatial Data
The representation of data is different depending on the geospatial technology chosen to capture it. Here are some examples of geospatial data:
Remote Sensing
Using remote sensing, laser scanners collect millions of digital data points within an environment. The vast collection of points is known as a point cloud. Each point has a location coordinate and the set of points creates a 3D model of an area or object. The more points in an area, the denser the point cloud and the clearer the 3D representation of the real world.
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