DocumentCode
484743
Title
Land Cover Analysis on Sub-Continental Scale: FAO LCCS Standard with 250 Meter MODIS Satellite Observations in West Africa
Author
Machwitz, Miriam ; Landmann, Tobias ; Conrad, Christopher ; Cord, Anna ; Dech, Stefan
Author_Institution
Remote Sensing Unit of DLR, Univ. of Wuerzburg, Wuerzburg
Volume
5
fYear
2008
fDate
7-11 July 2008
Abstract
Land cover information is an essential parameter for many earth system models and studies. However, especially in Africa, rigorous, regional standardized and geometrical spatially explicit land cover data on medium scale is missing, or often inconsistent and outdated. In this study we employed well corrected 250-meter MODIS time-series observations from 2006 and 2007 to map land cover rigorously over the Volta Basin in West Africa, with focus on the Burkina Faso and Ghana respectively. We used the FAO land cover classification system (LCCS) standard [8] for the legend codes and 15-30 ASTER imagery as reference data to train the classification tree algorithm. Primary aim is to contribute to a continental African and standardized medium scale land over data base, with improved mapping accuracies. Therefore, the dataset presented here can be deemed interoperable that is between local scale studies, at finer resolutions, and 1-kilometer global land cover products.
Keywords
remote sensing; terrain mapping; 1kilometer global land cover product; AD 2006 to 2007; ASTER imagery; Advanced Spaceborne Thermal Emission and Reflection Radiometer; Burkina Faso; FAO LCCS standard; Ghana; Land Cover Classification System; MODIS satellite observation; Moderate Resolution Imaging Spectroradiometer; West Africa; classification tree algorithm; land cover mapping; sub-continental scale; time-series observation; Africa; Agriculture; Classification tree analysis; Clouds; Information analysis; Infrared spectra; MODIS; Remote sensing; Satellites; Vegetation mapping; Aster; LCCS; Land cover; MODIS; classification tree;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International
Conference_Location
Boston, MA
Print_ISBN
978-1-4244-2807-6
Electronic_ISBN
978-1-4244-2808-3
Type
conf
DOI
10.1109/IGARSS.2008.4780024
Filename
4780024
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