
South Korea notable tree
Jeongipumsong Pine Tree
Ashy Minivet · CC0
92% of the land around it is trees.
- trees within 3 km92%
- wild within 10 km84%
- Altitude324 m
The forest around
92% trees.
Read like the rings of a cut trunk: from the centre out, the land within 1, 3, 6 and 10 km, coloured by what covers it.
Trees, ring by ring
- 0–1 km86%
- 1–3 km93%
- 3–6 km88%
- 6–10 km73%
What covers the land (1–3 km)
- Trees93%
- Grassland2%
- Water0%
- Bare ground0%
- Cropland3%
- Built-up2%
ESA WorldCover 2021 (10 m, from Sentinel satellites), sampled every 120 m. A clearing, a road or a lake counts as what it is.
In numbers
The forest, measured.
Our own rating, from open data only: tree cover (40 points), wildness (20), species recorded (30) and protection or heritage (10).
- 92%Treesof the land within 3 km
- 84%Wildno towns or farmland within 10 km
- 324 mAltitudeabove the sea
When to walk
Best for walking in October.
How good each month is for a walk: mild days and little rain make the bar taller.
- Jan-9°23 mm
- Feb-7°31 mm
- Mar-2°46 mm
- Apr4°81 mm
- May10°78 mm
- Jun16°125 mm
- Jul20°271 mm
- Aug20°237 mm
- Sep14°134 mm
- Oct7°57 mm
- Nov0°36 mm
- Dec-7°22 mm
- Bar: walking comfort; the number on top is the average maximum.
- Below: average minimum (NASA, 1991–2020).
- Rain: monthly total.
The place
Jeongipumsong Pine Tree.
Tree in North Chungcheong, South Korea
Jeongipumsong Pine Tree is a notable tree in South Korea, 324 m above the sea.
Seen from space, 92% of the land within 3 km is trees, and 84% of the land within 10 km has no towns or farmland.
The best time to walk is in October.

Get there and walk
- 속리산 사내리야영장campsite · 1.7 km · 9 within 10 km
- 만궁장민박 Mangungjang Minbakplace to stay · 0.8 km · 23 within 10 km
- Hwanamnearest town · 11 km in a straight line
- Cheongju International Airport/Cheongju Air Base (K-59/G-513) (CJJ)nearest airport with scheduled flights · 36 km in a straight lineCar hire at GMP airport (Seoul)Discover Cars · sponsored link↗
Plan the visit
A guided walk, a bed nearby, a car.
Some links above are affiliate links: if you book through them we may earn a commission, at no extra cost to you. It never changes what the data on this page says.
From above
The forest and its surroundings.
The satellite image of the 6 × 6 km around the place, with the trails, notable trees, picnic sites and huts that OpenStreetMap shows.

Around, in OpenStreetMap
- 2marked trails within 5 km백두대간, 한남금북정맥
- 2named and notable trees within 6 km정이품송, 정부인송
- 1picnic sites within 4 km속리산말티재자연휴양림 Songnisanmaltijae Forest
- 1viewpoints within 5 km말티재전망대
- 11car parks within 3 km
- 9campsites within 10 km속리산 사내리야영장, 충북알프스자연휴양림, 산외글램핑 and 6 more
- 23places to stay within 10 km만궁장민박 Mangungjang Minbak, 낙원펜션 Nakwon Pension, 낙원산장 Nakwon Mountain Villa and 20 more
- 2restaurants and cafés within 3 km
- shelters and huts within 6 km
- visitor centres within 6 km
Counted in OpenStreetMap, the map anyone can edit. A low number may just mean nobody has mapped it yet.
In our other atlases
Around Jeongipumsong Pine Tree.
The mountains, lakes, rivers, waterfalls and canyons around this forest, the viewpoints above it, the birds and the night sky, in the family's atlases.
Figures from the sister sites' databases (Wikidata, HydroATLAS, GeoNames, OpenStreetMap). Links open when each site is online.
Photographs
The forest, as people saw it.
Other forests nearby.
Where these figures come from
| Name and type | Wikidata (Q625553) · CC0 |
|---|---|
| Land cover | ESA WorldCover 10 m 2021 v200 · © ESA WorldCover project / Copernicus Sentinel data · CC BY 4.0 |
| Altitude | Copernicus DEM GLO-30 · © DLR e.V., © Airbus Defence and Space GmbH, Copernicus/ESA |
| Temperature and rain | NASA POWER (CERES SYN1deg, 2001–2020; MERRA-2) |
| What is around | © OpenStreetMap contributors · ODbL |
| Images | EOX Sentinel-2 cloudless 2016 · CC BY 4.0; Wikimedia Commons |
| Sister atlases | Peakyas, Lakeyas |
Every figure is an average, an estimate or a count from a public dataset. Licences and methods: data sources.
The family
Do you prefer beaches, lakes, mountains, waterfalls, islands, rivers, canyons, caves, dark skies, viewpoints, birdwatching or forests?
Same idea, other landscapes: field atlases built on open data, in seven languages.






