A simple, storage intensive format best suited for continuous fields.
Represents space continuously:
Multiple attributes, require multiple bands
Resolution: cell size.
Extent: depends on number of cells.
Resolution: 10 m cell size = 100 m2
Extent: varies with number of cells.
Rows | Columns | Extent |
---|---|---|
5 | 5 | 50 m x 50 m |
5 | 10 | 50 m x 100 m |
100 | 100 | 1 km x 1 km |
Loss of information during rasterization.
One cell: one value
The number of cells per image dictates file size:
Cells = rows x columns x bands.
Extent | Bands | Cell Size | Cells |
---|---|---|---|
1 x 1 km | 1 | 100 m | 100 cells |
1 x 1 km | 1 | 1 m | 1,000,000 cells | 1 x 1 km | 3 | 100 m | 300 cells |
1 x 1 km | 3 | 1 m | 3,000,000 cells |
Increases exponentially with resolution and linearly with number of bands.
Extent | Bands | Cell Size | Cells |
---|---|---|---|
1 x 1 km | 1 | 100 m | 100 cells |
1 x 1 km | 1 | 1 m | 1,000,000 cells | 1 x 1 km | 3 | 100 m | 300 cells |
1 x 1 km | 3 | 1 m | 3,000,000 cells |
Downloading a decade (87,600 bands) of snow cover data:
Processing times will increase as well:
A key advantage of raster data model is how algebraic expressions can be performed efficiently.
One of the most common/functional raster formats, based of the Tag Image File Format (TIFF). A TIFF file stores metadata (data about the data) as tags. A GeoTIFF is a standard .tif image format plus additional tags spatial tags denoting spatial information including:
Raster data can come in many different formats. You will likely encounter when working with raster data include: