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This is a BMBF funded Automatic Weather Station (AWS) donated by WASCAL to Burkina Faso through DMN(Niger) to strengthen the climate observatories of the member countries, co-develop together a regional/transboundary observation network to...
This is a BMBF funded Automatic Weather Station (AWS) donated by WASCAL to Burkina Faso through GMET(Ghana) to strengthen the climate observatories of the member countries, co-develop together a regional/transboundary observation network to...
This is a BMBF funded Automatic Weather Station (AWS) donated by WASCAL to Burkina Faso through GMET to strengthen the climate observatories of the member countries, co-develop together a regional/transboundary observation network to ultimately...
This is a BMBF funded Automatic Weather Station (AWS) donated by WASCAL to Burkina Faso through GMET to strengthen the climate observatories of the member countries, co-develop together a regional/transboundary observation network to ultimately...
This is a BMBF funded Automatic Weather Station (AWS) donated by WASCAL to Burkina Faso through GMET to strengthen the climate observatories of the member countries, co-develop together a regional/transboundary observation network to ultimately...
This is a BMBF funded Automatic Weather Station (AWS) donated by WASCAL to Burkina Faso through GMET to strengthen the climate observatories of the member countries, co-develop together a regional/transboundary observation network to ultimately...
This interactive-map layer contains the location from which the scientist collected data. After adding the layer to the map viewer, the places appear as polygons, points or raster data. By clicking on the info button you can choose the requested...
Thesis - Abstract Supervisors: - Prof. S.K. Agodzo - Prof. S.N. Odai - Dr. Grace Villamor Integrated in the Graduate Research Programm (https://icg4wascal.icg.kfa-juelich.de/project-overview /graduate-schools/the-graduate-studies-program)...
These LULC maps were created through automatic digital classification of RapidEye imagery acquired during the cropping season of 2012. Two monthly time-steps (June and October) were analyzed.Reference (or field) data on which the classification...