Represents space continuously:
Multiple attributes, require multiple bands
Resolution: (aka cell size) is the smallest resolvable feature.
Extent: (aka domain) depends on number of rows and columns along with the cell size.
Resolution: 10 m cell size = 100 m2 area per cell.
Extent: varies with number of cells and cell size.
Rows | Columns | Extent |
---|---|---|
5 | 5 | 50 m x 50 m = 2,500 m2 |
5 | 10 | 50 m x 100 m = 5,000 m2 |
100 | 100 | 1,000 m x 1,000 m = 1,000,000 m2 |
Raster resolution is dictated by the number of rows and columns, raster extent is dictated by the cell size.
One cell: one value
Loss of information during rasterization.
This term describes how information is lost when creating a raster image.
The number of cells per image dictates file size.
Extent | Bands | Cell Size | Number of Cells |
---|---|---|---|
1x1km | 1 | 100m | 100 |
1x1km | 1 | 1m | 1,000,000 | 1x1km | 3 | 100m | 300 |
1x1km | 3 | 1m | 3,000,000 |
Downloading, uploading, and processing times will all increase as the file size increases.
You downloaded a 3 band LANDSAT8 image covering the UBC campus. The image's dimensions are 6000m (rows) by 4500m (columns) and the resolution (cell size) is 30m. How many cells does the image contain?
Raster data can be used to evaluate algebraic expressions easily and efficiently.
The tool for this in Arc is called the "Raster Calculator"
The raster data model is well suited for continuous phenomena:
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:
The Raster Calculator tool lets you: