Limestone Track is a 8.2 km Medium 4WD trail in Guildford, Victoria, Australia. Expect includes a river crossing. Average drive time is 17 minutes.
River crossings and rocky terrain make the Limestone Track a rewarding challenge for 4WD drivers seeking moderate adventure near Guildford. You'll navigate 8.2 kilometres of varied landscape that tests your vehicle handling without requiring extreme technical skill, making this an ideal trail for intermediate enthusiasts looking to build confidence. The track's relatively flat grade means you can focus on line choice and water crossing technique rather than managing steep descents.
As you progress through the trail, you'll encounter the signature river crossings that define this route—expect water depths and flow that demand respect and careful speed management. The surrounding Victorian countryside reveals itself gradually, with limestone outcrops giving the track its distinctive character. The terrain alternates between rocky sections requiring precise wheel placement and smoother passages where you can build rhythm.
Before heading out, check current water levels if recent rain has passed through the area, as river crossings can become more challenging. Carry recovery gear and travel with another vehicle if possible. With an average completion time of just 17 minutes, you can easily repeat sections to refine your technique or combine this route with nearby trails. The 14 successful vehicle runs recorded on Newtracs show this is an achievable and popular option for developing your off-road skills.
Explore Limestone Track in the app
Offline maps, live conditions & more
8.2 km
Distance
17 min
Avg Time
30 km/h
Avg Speed
--
Steep Grade
See how many vehicles have driven this trail
Already have an account?
See who's driving this trail and when
Already have an account?
19°C
Partly Cloudy
22 km/h NNE
43%
19°C
0.4
7-Day Forecast
Patchy rain nearby
Heavy rain
Patchy rain nearby
Patchy rain nearby
Partly Cloudy
Moderate rain
Patchy rain nearby
Get offline topo maps, live conditions, and data-driven difficulty ratings.