Noise

Estimate noise levels at the plot location using official GDDKiA strategic noise maps, with OpenStreetMap fallback estimation.

---

Usage

from plot_finder import Plot, PlotAnalyzer

plot = Plot(plot_id="141201_1.0001.6509")
analyzer = PlotAnalyzer(plot)

noise = analyzer.noise()

print(noise.noise_level_db)  # 52.0
print(noise.quality)         # "Niski"
print(noise.level)           # "low"
print(noise.color)           # "lightgreen"
print(noise.data_source)     # "GDDKiA" or "OpenStreetMap (szacunkowy)"

for src in noise.sources:
    print(f"{src.type}: {src.name} — {src.distance_km} km, {src.impact_db} dB")

How It Works

1. GDDKiA WMS — queries the official strategic noise map (LDWN indicator) from Geoportal. Tries the voivodeship-specific layer first, then falls back to major voivodeships.
2. OSM fallback — if no GDDKiA data is available, estimates noise based on distance to motorways, railways, airports, and industrial zones from OpenStreetMap.

Noise Model

Field	Type	Description
noise_level_db	float	Estimated noise level in decibels
quality	str	Polish quality label (Bardzo niski / Niski / Umiarkowany / Wysoki / Bardzo wysoki)
level	str	English level key (very_low / low / moderate / high / very_high)
description	str	Polish description
color	str	Indicator color (green / lightgreen / yellow / orange / red)
sources	list[NoiseSource]	Detected noise sources
data_source	str	Data origin (GDDKiA or OpenStreetMap)

NoiseSource Model

Field	Type	Description
type	str	Source type (e.g. Autostrada, Linia kolejowa)
name	str	Source name from map data
distance_km	float	Distance from plot in km
impact_db	float	Estimated noise impact in dB
lat	float	Latitude
lon	float	Longitude

Noise Levels

Range	Quality	Level	Color
< 45 dB	Bardzo niski	very_low	green
45–55 dB	Niski	low	lightgreen
55–65 dB	Umiarkowany	moderate	yellow
65–75 dB	Wysoki	high	orange
> 75 dB	Bardzo wysoki	very_high	red

---