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| # Utilities | ||
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| Additional tools to help collect, view and process risk data. | ||
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| ## Merge tiles | ||
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| Large raster datasets often comes as a collection of regular tiles. | ||
| In order to run the raster analysis offered in our tools, they often need to be merged into one file. | ||
| To do that, a simple python script is provided as jupyter notebook. | ||
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| [TILE MERGE](utility/merge_tiles/Merge_tiles.ipynb) |
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| { | ||
| "cells": [ | ||
| { | ||
| "cell_type": "markdown", | ||
| "id": "b8bf67f8", | ||
| "metadata": {}, | ||
| "source": [ | ||
| "# TILE MERGE SCRIPT\n", | ||
| "\n", | ||
| "The python script below looks into subfolders of specified directory and merge together all tiff files found, naming the resulting tiff as the folder from which they are generated.\n", | ||
| "\n", | ||
| "- The function for merging and exporting is found in merge_utils.py\n", | ||
| "- GDAL library must be installed in your python environment\n", | ||
| "- Output is exported in the same format of the original tiles\n", | ||
| "- The scripts makes use of parallel processing for quicker results" | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": 26, | ||
| "id": "e3904d3e", | ||
| "metadata": {}, | ||
| "outputs": [], | ||
| "source": [ | ||
| "import os\n", | ||
| "import concurrent.futures\n", | ||
| "from merge_utils import merge_tifs\n", | ||
| "\n", | ||
| "# Specify the directory to search for .tif files\n", | ||
| "directory = 'C:/YourWorkDirectory/Fathom3/PL/2020/'\n", | ||
| "\n", | ||
| "# Iterate through each subdirectory\n", | ||
| "subdirs = [os.path.join(directory, subdir) for subdir in os.listdir(directory) if os.path.isdir(os.path.join(directory, subdir))]\n", | ||
| "\n", | ||
| "# Process subdirectories in parallel\n", | ||
| "with concurrent.futures.ProcessPoolExecutor() as executor:\n", | ||
| " executor.map(merge_tifs, subdirs)\n" | ||
| ] | ||
| } | ||
| ], | ||
| "metadata": { | ||
| "kernelspec": { | ||
| "display_name": "Python 3 (ipykernel)", | ||
| "language": "python", | ||
| "name": "python3" | ||
| }, | ||
| "language_info": { | ||
| "codemirror_mode": { | ||
| "name": "ipython", | ||
| "version": 3 | ||
| }, | ||
| "file_extension": ".py", | ||
| "mimetype": "text/x-python", | ||
| "name": "python", | ||
| "nbconvert_exporter": "python", | ||
| "pygments_lexer": "ipython3", | ||
| "version": "3.10.2" | ||
| } | ||
| }, | ||
| "nbformat": 4, | ||
| "nbformat_minor": 5 | ||
| } |
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