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Citizen Science on Top

Citizen Science on Top

In honour of the 2025 International Year of Glaciers’ Preservation the Mountain Legacy Project (MLP) and the Alpine Club of Canada are collaborating on an exciting citizen science repeat photography project in some of Canada’s high places.

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10 Questions with Claire Wright

10 Questions with Claire Wright

Welcome back to another episode of "10 Questions." From post-doctoral fellows to research assistants, each person has been asked to share their unique perspectives, experiences and stories by responding to the same 10 questions. This month we are featuring PhD...

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Borealis

Borealis

Katelyn Fryer, December 11th, 2024 This year for International Mountain Day we decided to blog something a little different! Let me introduce the MLP’s new data repository, Borealis. ***** The Mountain Legacy Project (MLP) has a foundation deeply rooted in history. We...

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Thinking of you, Jasper

Thinking of you, Jasper

By Eric Higgs, August 8th, 2024 Thinking of You, Jasper. ***** The Mountain Legacy Project (MLP) was born in Jasper. Starting in 1996 with the uncovering of a set of 1915 survey images of the area, we began to realize the power of historical and repeat photographs for...

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A Farewell to Fieldwork

A Farewell to Fieldwork

    By James Tricker, July 12th, 2024 With MLP fieldwork underway in the mountains this summer, one long-time crew member is (very reluctantly) sitting this season out to instead focus on writing up his dissertation (one last mountain, James). Here, he...

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PART 2 – Trying to see the Forest for the Trees: Testing Machine Learning Models on Mountain Legacy Project Images

PART 2 – Trying to see the Forest for the Trees: Testing Machine Learning Models on Mountain Legacy Project Images

In part 1 of this series, I discussed the motivation for using machine learning to classify land cover types in Mountain Legacy Project (MLP) images and described convolutional neural networks (CNNs), the technology we use to implement automated classification. This follow-up article tackles some challenges in applying this technology to MLP images and what specific implementations of CNNs we are testing to work toward an optimal solution.

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