Raster data compression in gis ppt

And there are several ways to use GIS compression to reduce file size and still maintain the quality of data.
Let’s take a look at some examples of how raster images are compressed:

1. Run-length encoding stores cells on a row-by-row basis

If you are unsure of which to use, at least choose the default of LZ77 (lossless).
Raster data can be compressed using either lossy or lossless compression.
It can be delivered in a compressed format, or you can specify a compression setting when writing several supported raster formats.

Deploying efficient raster image compression techniques means reducing storage space.
This is the primary benefit of compressing your data.
It can save money and time.
You can also improve your network performance because you are working with a reduced amount of data.

The way to improve raster size efficiency is through image compression

And there are several ways to use GIS compression to reduce file size and still maintain the quality of data

Let’s take a look at some examples of how raster images are compressed: Run-length encoding stores cells on a row-by-row basis

The default compression type is LZ77 and it works for all types of raster data

LERC compression is an image compression method that can divide raster into a number of pixel blocks, in which each pixel can be quantized and bit stuffed, based on a number of block statistics, including the maximum error allowable