Apr 1, 2024 | MLP research
Ben Wright, April 1st 2024 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...
Mar 21, 2024 | MLP research
Ben Wright, March 21st 2024 This is the first of a two-part series describing the work Aniket Mahindrakar and I have been conducting as research assistants for the Mountain Legacy Project (MLP). For several years now the MLP has been utilizing machine-learning to...
Jan 14, 2024 | MLP research
We are thrilled to announce the latest Mountain Legacy Project research article led by James Tricker: Assessing the accuracy of georeferenced landcover data derived from oblique imagery using machine learning. Published in Remote Sensing in Ecology and Conservation,...
Nov 29, 2023 | MLP research, Notes from the Field
By Katherine Hanly, James Tricker, Graham McDowell, Nov 29th 2023 Introduction In Canada, the largest and oldest mountain guiding operations originated in the Rockies. The region remains a guiding hot spot due to its unmatched breadth of spectacular terrain, scenic...
Feb 10, 2023 | Historic photos, MLP research, Notes from the Field
By James Tricker The repeat photography undertaken at the Mountain Legacy Project (MLP) requires thorough preparation before the season starts, and long days in the field hiking to remote peaks and promontories, as Claire and Daniel recount in their climb up Mt...
Feb 26, 2022 | MLP News, MLP research
Eric Higgs, Mar 1, 2022 The Mountain Legacy Project launched a brand new Explorer tool. Building on our previous public-facing website it is a future-oriented platform for serving up images and information about the world’s largest systematic collection of mountain...
