‘The crossing of the Canol Road’, ‘The Lost Patrol’ and ‘On the Trapper’s Trails’ are three expeditions proposed by Didier Langou and Rock Boivin.
During the White Odyssey the great Canadian north was crossed from the Pacific Ocean to the Atlantic Ocean. A crew opened the trail with snow machines from one village to another because there was no broken trail for 90% of the journey. To travel from one ocean to the other in the course of one winter the dogs had to travel a minimum of 80 km per day and needed a hard trail to do so.
Didier Langou led the snow machine crew because he knew the country well. He later supervised the logistical and financial aspects of the movie, ‘The Last Trapper’ which was filmed in Canada and the Yukon. That is where he met Rock, a Quebecer by origin who had lived in the Yukon for 30 years and had raised his two children on his trapline out in the bush. A log home builder by trade Rock constructed the cabin for ‘The Last Trapper’ film and also assisted with many of the stunts on the land. With a great sense of humor and a wealth of practical knowledge Rock worked well with Didier. Togeher they are a good team.
During the winter of 2005- 2006 they broke 8000 km of trail across Siberia in front of my dog team.
Between Rock and Didier there is a wealth of experience on the north and snow machine travel in extreme conditions. The most spectacular part of the White Odyssey was the crossing of the Rocky Mountains on the old trail called the Canol Road; an unforgettable trip and one so unique that Didier and Rock have decided to offer it to a few privileged people. They are proposing other trips as well, one of them being ‘The Lost Patrol’, a historical trail opened by the RCMP at the turn of the century by dog teams.
‘The trappers’s trail’ is a beautiful ride through the country of ‘The Last Trapper’ film. The country in the Yukon is magnificent we had great pleasure filming there. To sum it up this is a very uncommon journey…. and I support Didier and Rock in their initiative.”
Nicolas VANIER
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