noxxxxo/trees_hki

Helsinki Metropolitan Tree Detections

Tree locations detected from Maanmittauslaitos (National Land Survey of Finland) aerial orthophotos of the Helsinki metropolitan area, grouped by municipality and quadrant.

File	Municipality	Quadrant
espoo_east.parquet	Espoo	East
espoo_west.parquet	Espoo	West
helsinki_east.parquet	Helsinki	East
helsinki_west.parquet	Helsinki	West
vantaa_east.parquet	Vantaa	East
vantaa_west.parquet	Vantaa	West

Each file contains two columns:

• lat (float): WGS84 latitude of a detected tree centroid
• lon (float): WGS84 longitude of a detected tree centroid

Attribution

The trees were detected from orthophoto tiles (JP2, EPSG:3067 / TM35FIN, 0.2 m/pixel) provided as open data by the National Land Survey of Finland (Maanmittauslaitos) under the Creative Commons Attribution 4.0 International (CC BY 4.0) licence.

Orthophotos: © Maanmittauslaitos, CC BY 4.0.

This dataset is derived from those orthophotos. Changes made: tree centroids extracted via object detection (DeepForest, weecology/deepforest-tree), coordinates georeferenced to WGS84.

Usage

import pandas as pd
import folium
from folium.plugins import HeatMap

files = [
 #   "hf://datasets/noxxxxo/trees_hki/espoo_east.parquet",
 #   "hf://datasets/noxxxxo/trees_hki/espoo_west.parquet",
    "hf://datasets/noxxxxo/trees_hki/helsinki_east.parquet",
 #   "hf://datasets/noxxxxo/trees_hki/helsinki_west.parquet",
 #   "hf://datasets/noxxxxo/trees_hki/vantaa_east.parquet",
 #   "hf://datasets/noxxxxo/trees_hki/vantaa_west.parquet",
]
df = pd.concat([pd.read_parquet(f) for f in files], ignore_index=True)
m = folium.Map(location=[df.lat.mean(), df.lon.mean()], zoom_start=13, prefer_canvas=True)
folium.TileLayer("https://services.arcgisonline.com/ArcGIS/rest/services/World_Imagery/MapServer/tile/{z}/{y}/{x}", attr="Esri World Imagery").add_to(m)
HeatMap(df[["lat", "lon"]].values.tolist(), radius=10, blur=15, max_zoom=18, min_opacity=0.4, gradient={0.4: "blue", 0.65: "lime", 0.8: "yellow", 1.0: "red"}).add_to(m)
m.save("heatmap.html")