Vector-based Example (Kampen)

This example demonstrates how to run the vector-based flood damage assessment using OSM exposure data for the Kampen region in the Netherlands.

1. Import Dependencies

import pandas as pd
import damagescanner
from damagescanner.core import DamageScanner

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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"
exposure_file = "https://raw.githubusercontent.com/VU-IVM/DamageScanner/installation/data/kampen/exposure/kampen.osm.pbf"
curve_file = "https://raw.githubusercontent.com/VU-IVM/DamageScanner/installation/data/kampen/vulnerability/curves_osm.csv"
maxdam_file = "https://raw.githubusercontent.com/VU-IVM/DamageScanner/installation/data/kampen/vulnerability/maxdam_osm.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 Vector-Based Damage Assessment

scanner = DamageScanner(hazard_file, exposure_file, curves, maxdam)
features = scanner.calculate(asset_type='main_roads')

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5. Display Output

features[["object_type", "geometry", "damage"]].head()

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