How To Resample Raster Data in ArcGIS Pro

Resampling, in the context of raster grids, involves adjusting the cell size, either making it larger (upsizing) or smaller (downsizing). To illustrate this concept, consider changing the pixel resolution from 5 meters to 10 meters, which is a clear example of resampling. Today, we're going to explore the process of resampling raster data using ArcGIS Pro.
Our map displays an aerial image with a 2 mt cell size. But what if we desire to decrease the cell size from 2 meter to 5 meters? How can we accomplish that? The solution lies in the utilization of the resampling tool. Let's give it a try.
Start by navigating to the Analysis tab and clicking on the Tools button. Then, type "Resample" into the search bar on the right. Locate and select the "Resample" tool to examine its requirements.
The initial input requested is our raster input, which, in our case, is the aerial photograph. The output raster dataset name can remain as the default setting. Now, adjust the cell size output to 5 meters.
Up to this point, everything has been relatively straightforward. However, the pivotal decision is choosing a resampling technique. Consider the following guidelines:
Nearest neighbor is the preferred choice for discrete data, like land cover classification.
Bilinear interpolation is typically suitable for continuous data, such as temperature or elevation data.
Majority technique retains the most popular value, which is useful for data like land cover.
Cubic convolution is effective in reducing noise from data, making it valuable for noisy images, such as radar data.
In our specific scenario, I've opted for bilinear interpolation because we are working with imagery. Nonetheless, this choice isn't set in stone. If you believe another technique would be more appropriate, please share your thoughts in the comments.
With all the parameters set, all that's left is to click the "Run" button. After a brief processing period, the result will appear on our map. As anticipated, the pixel size is now larger than the original image.
There you have it! In our example, we reduced the image resolution by increasing the cell size. We hope you found this tutorial informative. If you enjoyed the video, don't forget to like and subscribe to our channel for more GIS insights. We look forward to seeing you again soon. Goodbye for now.