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Kanas to Hemu Trek

Beginner

China · Xinjiang

The Kanas to Hemu trek crosses Northern Xinjiang's most beautiful forests and grasslands — golden birch groves, turquoise rivers, and snow-capped mountains. The endpoint, Hemu Village, is one of China's most picturesque villages. Its morning mist over wooden cabins framed by autumn colors is every photographer's dream.

Total Distance

35 km

Estimated Days

3 days

Max Elevation

2400 m

Elevation Gain

1200 m

Difficulty

2/5 - Beginner

Best Season

Jun, Jul, Aug, Sep, Oct

Route Type

Point-to-Point

Beginner-Friendly

Suitable for beginners

Transport

Car Required

KanasHemuAutumn ColorsTuva VillageBirch Forest

Highlights

  • Golden birch forests in autumn - among China's most stunning fall scenery
  • Hemu Village morning mist, known as God's Own Backyard
  • Kanas Lake's turquoise waters set against snow-capped peaks
  • Tuvan village culture along the route

Suitable For

  • Beginner hikers
  • Landscape photographers
  • Autumn foliage lovers
  • Northern Xinjiang deep-travel enthusiasts

Important Notes

  • Autumn (late Sep-early Oct) is peak season; book accommodation well in advance
  • Some sections involve stream crossings; bring water shoes
  • Large day-night temperature swings in Northern Xinjiang; pack warm layers
  • Heavy snow closes the route in winter; only accessible June-October

Getting There

Fly from Urumqi to Kanas Airport, or take a train to Beitun then charter a vehicle to Jiadengyu.

Supplies & Accommodation

Supplies: Basic resupply at Xiaoheihu (Small Black Lake); bring your own food and water as backup.

Accommodation: Numerous guesthouses and hostels in Hemu Village and Kanas Scenic Area, ranging from basic to comfortable.

GPX Track

GPX download is not yet available. Search for "Kanas to Hemu Trek GPX" on outdoor communities in the meantime.

Disclaimer

Data is for reference only. Verify current trail conditions and safety information before departure. Prepare thoroughly for high-risk routes and follow local regulations. We accept no liability for any incidents arising from the use of this data.