Social media data is not typically used as a primary source of GIS data due to its unstructured nature and potential for bias.

Field surveying involves collecting GIS data directly from the environment using tools such as GPS receivers, total stations, and field notebooks.

SAR (Synthetic Aperture Radar) uses radar waves to create images of the Earth's surface, regardless of weather conditions or time of day.

Digitizing is the process of converting analog data, such as maps or aerial photographs, into digital format using a digitizing tablet or software.

CSV (Comma-Separated Values) is a text file format commonly used for storing tabular data, but it is not a GIS-specific data format.

Geocoding is the process of assigning geographic coordinates to features in a GIS dataset, typically using address or place name information.

Data augmentation is not a common method for ensuring data quality, as it involves artificially increasing the size of a dataset by generating synthetic data.

Data integration is the process of combining data from multiple sources into a single GIS dataset, often involving harmonizing data formats and structures.

Metadata is not a type of GIS data, but rather information about the data, such as its source, accuracy, and limitations.

Vectorization is the process of converting raster data, which is composed of pixels, into vector data, which is composed of points, lines, and polygons.

Social media data is not typically used as a primary source of GIS data due to its unstructured nature and potential for bias.

Classification is the process of assigning thematic attributes to features in a GIS dataset, such as land use categories or soil types.

Redundancy is not a common GIS data quality issue, as it refers to the presence of duplicate data, which can be easily identified and removed.

Image mosaicking is the process of creating a seamless mosaic of images from multiple sources, often used to create large-scale maps or orthophotos.

Social media data is not typically used as a primary source of GIS data due to its unstructured nature and potential for bias.