How do I clip raster layer to mask layer?

How do I clip raster layer to mask layer?

Go to the style tab of the original layer’s properties and (making sure it is paletted), click on Save Style button at the bottom. You can then apply this same style to your new layer and if you have only clipped it as per the above instructions, it will appear the same as before.

How to clip a raster layer in QGIS?

The simple way to do this in QGIS is to use the Raster Calculator (Raster->Raster Calculator). You have a couple of options. The easiest to explain/understand is to make a unitary raster from your mask (all data set to either 1 or NoData) and then multiply your clip layer by the unitary mask layer.

How to create a unitary mask in raster?

To ensure the extents match the mask layer, in the raster calculator window select the mask layer in the ‘Raster bands’ list on the left and then click the ‘Current layer extent’ button on the right. You can create a unitary mask on the fly by using a conditional statement (see the link) something like this:

How can I Make my raster layer persistent?

To make the presentation persistent, you can right-click the layer and ‘Save As’. Check the ‘Rendered Image’ radio button at the top of the save-dialog box. This will make a new raster with the exact colour scheme as your palatted layer BUT it will no longer be a single band raster but a four band RGBA raster.

How is the input mask data defined in raster?

Input mask data defining areas to extract. It can be a raster or feature dataset. When the input mask data is a raster, NoData cells on the mask will be assigned NoData values on the output raster. The output raster containing the cell values extracted from the input raster.

Is there a way to clip raster in Python?

Now we are ready to clip the raster with the polygon using the coords variable that we just created. Clipping the raster can be done easily with the mask function that we imported in the beginning from rasterio, and specifying clip=True. Next, we need to modify the metadata. Let’s start by copying the metadata from the original data file.