Algorithms and Predictors for Land Cover Classification of Polar Deserts: A Case Study Highlighting Challenges and Recommendations for Future Applications

Algorithms and Predictors for Land Cover Classification of Polar Deserts: A Case Study Highlighting Challenges and Recommendations for Future Applications

The use of remote sensing for developing land cover maps in the Arctic has grown considerably in the last two decades, especially for monitoring the effects of climate change. The main challenge is to link information extracted from satellite imagery to ground covers due to the fine-scale spatial he...

Full description

Bibliographic Details
Main Authors: Émilie Desjardins, Sandra Lai, Laurent Houle, Alain Caron, Véronique Thériault, Andrew Tam, François Vézina, Dominique Berteaux
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Remote Sensing
Subjects:
High Arctic
remote sensing
multispectral imagery
WorldView-2/3
ensemble classifier
majority voting
Online Access:https://www.mdpi.com/2072-4292/15/12/3090

Internet

https://www.mdpi.com/2072-4292/15/12/3090

Similar Items