Importing large raster datasets: Difference between revisions
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Importing raster datasets in the range of 10 GB or less can usually be done with the default Map Import settings. The general documentation on importing maps can be found [[Importing data|here]]. | Importing raster datasets in the range of 10 GB or less can usually be done with the default Map Import settings. The general documentation on importing maps can be found [[Importing data|here]]. | ||
However, if the dataset you are importing is significantly larger - 20 GB or more - the settings become more important to get a good result without using too much processing time and file size. | However, if the dataset you are importing is significantly larger - 20 GB or more - the settings become more important to get a good result without using too much processing time and file size. This article will go more in-depth on the different parameters and how they affect the import process and result. | ||
== Image Quality == | |||
Image quality in this context refers to how similar the output result is to the input data. This can be objectively measured as Structural Similarity (SSIM). We have run a benchmark comparing different compression methods and formats [[Comparing compression in different formats|here]]. | |||
Relevant Map Import parameters: | |||
=== Resampling === | |||
This is the method to use when creating downsampled versions of the main dataset (also called ''pyramids'' or ''overviews''). The following resampling methods are available in Map Imports. They are listed in order of complexity, which will roughly translate to time | |||
nearest|average|rms|gauss|bilinear|cubic|cubicspline|lanczos|average_magphase | |||
Revision as of 14:05, 27 August 2026
Importing raster datasets in the range of 10 GB or less can usually be done with the default Map Import settings. The general documentation on importing maps can be found here.
However, if the dataset you are importing is significantly larger - 20 GB or more - the settings become more important to get a good result without using too much processing time and file size. This article will go more in-depth on the different parameters and how they affect the import process and result.
Image Quality
Image quality in this context refers to how similar the output result is to the input data. This can be objectively measured as Structural Similarity (SSIM). We have run a benchmark comparing different compression methods and formats here.
Relevant Map Import parameters:
Resampling
This is the method to use when creating downsampled versions of the main dataset (also called pyramids or overviews). The following resampling methods are available in Map Imports. They are listed in order of complexity, which will roughly translate to time
nearest|average|rms|gauss|bilinear|cubic|cubicspline|lanczos|average_magphase