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Summary

The website content provides a tutorial on merging raster data in Python using the Rasterio library.

Abstract

The article titled "How to Mosaic/Merge Raster Data in Python" presents a straightforward method for combining multiple raster tiles into a single image using the Rasterio library in Python. It guides the reader through the process of importing necessary libraries, setting up an output directory, iterating over raster files to merge them, and writing the final mosaicked image to disk. The tutorial emphasizes the ease of using Rasterio's merge function to handle the mosaicking process and the importance of updating metadata to reflect the new image dimensions. The author also invites feedback on alternative methods for mosaicking in Python and promotes an AI service as a cost-effective alternative to ChatGPT Plus.

Opinions

  • The author believes that Rasterio simplifies the process of merging raster data in Python.
  • Creating a mosaic is presented as an essential step in satellite image analysis when the scene does not match the area of interest.
  • The author suggests that there are multiple methods for mosaicking raster images in Python, but the one described is considered the easiest.
  • The author endorses an AI service, ZAI.chat, as a more affordable option compared to ChatGPT Plus, implying that it offers similar performance and functionality.

How to Mosaic/Merge Raster Data in Python

A simple process to merge different Raster files

Photo by Patrick Fore on Unsplash

Satellite Image scenes might not coincide with your area of interest. You might need to clip into a boundary (make it smaller) or create a mosaic of different scenes to get the desired result (merge different raster files).

This short blog post will show you how to merge different raster tiles in Python using Rasterio.

Mosaic Example — Image by the author.

Raster Mosaic with Python

Let us first import the libraries and create the output folder with Python path lib.

from rasterio.plot import show
from rasterio.merge import merge
import rasterio as rio
from pathlib import Path
path = Path('data/')
Path('output').mkdir(parents=True, exist_ok=True)
output_path = 'output/mosaic_output.tif'

Now we iterate over the available .tif files in the data folder. We will merge all files in this data folder and create a mosaic from them. We also create an empty list to hold the files in the data folder.

raster_files = list(path.iterdir())
raster_to_mosiac = []

We then loop through the raster files, open them with rasterio and append them to the raster_to_mosiac list we created above.

for p in raster_files:
    raster = rio.open(p)
    raster_to_mosiac.append(raster)

From this stage on, it is easy. We use the merge() method from rasterio to create the mosaic. We also create the output transformation parameters to use later.

mosaic, output = merge(raster_to_mosiac)

Now, we copy the raster's metadata and update it to match the height and width of the mosaic.

output_meta = raster.meta.copy()
output_meta.update(
    {"driver": "GTiff",
        "height": mosaic.shape[1],
        "width": mosaic.shape[2],
        "transform": output,
    }
)

In this final stage, we write the mosaiced file in a local folder.

with rio.open(output_path, “w”, **output_meta) as m:
    m.write(mosaic)

And there you have your mosaiced raster image!

Final Words

In this short blog post, we have seen how to merge different raster images using Rasterio. I find this process the easiest. There are other procedures, of course, so let me know how you do mosaicing in Python.

Earth Observation
Rasterio
Python
Remote Sensing
Data Science
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