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Sentinel-2 bild från 2019-07-27 över Latnjajaure området
Photo: European Space Agency - ESA
Breadcrumb

Remote sensing time series for the alpine environment: Use of Hidden Markov Models and Sentinel-2 satellite data

Research project
Active research
Project size
3 300 000
Project period
2016 - 2020
Project owner
Department of Earth Sciences

Short description

The launch of the European Space Agency’s Sentinel-2 satellites has ushered in new opportunities for mapping from remote sensing, and the increased data stream requires development of new processing methods. Hidden Markov Models are a potential approach to discerning phenological stages of vegetation from multi-temporal Sentinel-2 data. This project focuses on the alpine vegetation around the Latnjajaure research station in northern Sweden.