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Accueil du site → Doctorat → Allemagne → 2011 → Further development and adaptation of large area forest inventories and remote sensing applications to comprehensive data providers for international processes

Georg-August-University Göttingen (2011)

Further development and adaptation of large area forest inventories and remote sensing applications to comprehensive data providers for international processes

Fischer, Christoph

Titre : Further development and adaptation of large area forest inventories and remote sensing applications to comprehensive data providers for international processes

Weiterentwicklung und Anpassung von Grossräumigen Waldinventuren und Fernerkundunglichen Anwendungen zu Umfassenden Datenquellen für Internationale Prozesse

Auteur : Fischer, Christoph

Université de soutenance : Georg-August-University Göttingen

Grade : Doctor of Philosophy (PhD) 2011

Résumé
With this study we present a forest inventory approach on national level for Burkina Faso where a relatively small sample size is combined with relatively large sample plots. To our knowledge, we present here the first sample based inventory of forest and tree resources for Burkina Faso, providing national level information based upon a uniform and statistically consistent methodology. We were able to estimate land use, based on Food and Agriculture Organisation of the United Nations (FAO) definitions, where we estimated that a total of 42.6%, 1.6%, 53.6%, 9.1% and 2.2% of Burkina Faso are covered by forest , other wooded land , other land , other land with tree cover and inland water bodies , respectively. Further we were able to estimate precision for all land use proportions. Assessment of vegetation structure and species composition for different land use classes was possible. The assessed species data was used to derive land use specific information on wood density, which was further used in the calculation of above ground carbon stocks for different land use classes.In the second part of the study, the remote sensing part, we developed methods which enabled us to conduct land use mapping for Burkina Faso, based on FAO definitions, which is for the first time also supplying error estimates for the cover estimates and information on classification accuracy. Thus, establishing a cost effective monitoring system for the whole of Burkina Faso based on remote sensing only. We achieved estimates that were much more within the range of our ground based study for land use class Forest , in Burkina Faso, than in any other remote sensing based study we know of. Based on Moderate Resolution Imaging Spectroradiometer (MODIS) imagery we estimated a total of 30.8% of forest for Burkina Faso.

Mots clés  : Forest Inventory ; Remote Sensing ; Burkina Faso — Waldinventur ; Fernerkundung ; Burkina Faso

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