Equal Resampling

Instructions for Use

Resampling is the operation of changing the resolution of Raster Dataset, which can be divided into upsampling and downsampling according to the change of resolution. Upsampling means that the side length of a cell becomes smaller and the number of cells becomes larger, and downsampling means that the side length of a cell becomes larger and the number of cells becomes smaller. During upsampling, when the specific value of the side length is uncertain, you can specify the number of equal divisions to divide the side length of the grid equally, such as 2 equal divisions of the grid, 4 equal divisions of the grid, 6 equal divisions of the grid, etc. This process is called Equal Resampling.

As shown in the figure above, the grid on the right is the result of 2 Equal Resampling the side length of the grid on the left.

Usage Scenario

For example, the longitude and latitude coordinate system grid with a resolution of 30 m needs to be resampled to 10 m, but the longitude and latitude data needs to convert the size of the cell into degrees. At this time, it will encounter the situation that it cannot be exactly divided, and it can only be accurate to the last few decimal places. The use of Equal Resampling can solve the problem of inaccurate filling in the manual calculation of meter rotation.

Parameter Description

Parameter name Default Parameter description Parameter type
Source Raster Data   Raster Data to be resampled (with images) Dataset
Number of Divisions 2 Number of divisions for the original grid side length, must be greater than 1 Int
Resampling Mode Nearest Nearest, Bilinear, Cubic Convolution Interpolation Resample Mode
Target Datasource   Datasource where data is output Datasource
Result Dataset Name   Export Dataset Name String