CORINE Land Cover Reclassification Tool

This repository provides a simple script for reclassifying CORINE Land Cover (CLC) raster data into generalized land use categories for hydrological modeling, especially for use in mHM (mesoscale Hydrologic Model).

🧭 Overview

The script transforms the original CLC classes into three simplified categories:

• 1 - Forest
• 2 - Impervious
• 3 - Pervious
• 48 - NODATA (later to be mapped as 255 for mHM input file as .asc)

This preprocessing step helps in simplifying complex land cover types into meaningful hydrological classes.

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📂 Input / Output

• Input:
  ./CORINE/CLC2018_V2020_20u1.tif
  A raster file containing the original CORINE land cover data.

• Output:
  ./CORINE/ReClassifiedData/ReClassified_CLC2018_V2020_20u1.tif
  A raster file with reclassified land cover values.

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🧪 Reclassification Rules

Original CLC Class Range	Description	New Class
1–11	Artificial Surfaces	2
12–13	Arable Land (non-irrigated, irrigated)	3
14	Rice Fields	2
15–17	Permanent Crops	1
18	Pastures	3
19–21	Heterogeneous Agricultural Areas	3
22	Agro-forestry Areas	1
23–25	Forests	1
26–28	Grasslands, Moors, Sclerophyllous Vegetation	3
29	Transitional Woodland-Shrub	1
30	Beaches, Dunes, Sands	3
31	Bare Rocks	2
32–33	Sparsely Vegetated / Burnt Areas	3
34	Glaciers, Snow	2
35–39	Wetlands	2
40–44	Water Bodies	2
48–50, -128	NODATA / Undefined	48

💡 48 should be interpreted as 255 when used in mHM.

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🛠 Dependencies

• Python 3.x
• NumPy
• rasterio

Install dependencies with:

pip install numpy rasterio

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🚀 Usage

Just run the Python script:

python reclassify_corine.py

Ensure the input raster exists in the specified directory. The reclassified file will be saved to the output path.

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👨‍💻 Author

Emre Çalıova
Meteorological Engineer

📧 Mail
🔗 LinkedIn
📅 Created: 23.07.2025

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📄 License

This project is licensed under the MIT License. You may use, modify, and distribute it freely. Please credit the author where appropriate.