Raster-based Example (Kampen)

This example demonstrates how to run the raster-based flood damage assessment using a land-use map for the Kampen region in the Netherlands.

1. Import Dependencies

import pandas as pd
from damagescanner.raster import RasterScanner

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2. Load Input Data from GitHub

We use publicly available data from the DamageScanner GitHub repository:

hazard_file = "https://raw.githubusercontent.com/VU-IVM/DamageScanner/installation/data/kampen/hazard/1in1000_inundation_map.tif"
landuse_file = "https://raw.githubusercontent.com/VU-IVM/DamageScanner/installation/data/kampen/exposure/landuse_map.tif"
curve_file = "https://raw.githubusercontent.com/VU-IVM/DamageScanner/installation/data/kampen/vulnerability/curves.csv"
maxdam_file = "https://raw.githubusercontent.com/VU-IVM/DamageScanner/installation/data/kampen/vulnerability/maxdam.csv"

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3. Load Vulnerability Data

curves = pd.read_csv(curve_file)
maxdam = pd.read_csv(maxdam_file)

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4. Run the Raster-Based Damage Assessment

damage_df, damagemap, landuse_data, hazard_data = RasterScanner(
    landuse_file,
    hazard_file,
    curves,
    maxdam,
)

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5. Display Output

damage_df.head()