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Raster Data

Lossy Compression vs Lossless Compression
Remote Sensing

Lossless Compression vs Lossy Compression

Lossless compression (like JPEG) retains values and lowers file size. However, lossy compression (like LZ77) reduces file size by eliminating redundancy.

Resampling Methods in GIS
GIS Analysis

Raster Resampling for Discrete and Continuous Data

For raster resampling in GIS, you can use bilinear and cubic convolution for continuous data as well as nearest neighbor and majority for discrete data.

Bit Depth
Remote Sensing

What is Bit Depth for Satellite Data (and Images)

Bit depth is the amount of detail in each pixel expressed in units of bits. 1-bit rasters contain 2 values while 8-bit rasters range from 0-255

Image Compression Techniques
GIS Analysis

Image Compression and Encoding for Raster Data

Deploying efficient raster GIS compression techniques means reducing storage space. It can save money, time and also help network performance.

Unsigned Integer vs Signed Integer
GIS Analysis

Unsigned Integer vs Signed Integer for Raster Data

Unsigned integer rasters are non-negative numbers. Signed integers can store negative values. IMG, TIFF & GRID formats are acceptable for signed integer







 

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