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Bibliothèque Multi-temporal land-cover classification and change analysis with conditional probability networks: the case of Lesvos Island (Greece)

Multi-temporal land-cover classification and change analysis with conditional probability networks: the case of Lesvos Island (Greece)

Multi-temporal land-cover classification and change analysis with conditional probability networks: the case of Lesvos Island (Greece)

Resource information

Date of publication
Décembre 2012
Resource Language
ISBN / Resource ID
AGRIS:US201400107240
Pages
4075-4093

This study uses a series of Landsat images to map the main land-cover types on the Mediterranean island of Lesvos, Greece. We compare a single-year maximum likelihood classification (MLC) with a multi-temporal maximum likelihood classification (MTMLC) approach, with time-series class labels modelled using a first-order hidden Markov model comprising continuous and discrete variables. A rigorous validation scheme shows statistically significant higher accuracy figures for the multi-temporal approach. Land-cover change accuracies were also greatly improved by the proposed methodology: from 46% to 70%. The results show that when only two dates are used, the mapping of land use/cover is unreliable and a large number of the changes identified are due to the individual-year commission and omission errors.

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Authors and Publishers

Author(s), editor(s), contributor(s)

Symeonakis, Elias
Caccetta, Peter
Koukoulas, Sotirios
Furby, Suzanne
Karathanasis, Nikolaos

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Data Provider
Geographical focus