Weather data
A large number of automatic weather stations has been implemented in the frame of the BIOTA AFRICA project by the Namibian National Botanical Research Institute (NBRI) and the Group "Biodiversity, Evolution and Ecology" (BEE) of the University of Hamburg. The website offers hourly updates of data and graphs of a large number of weather parameters.


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Land cover and Land cover change for the GLOWA Volta Basin

 Download PDF document        Last update: 2009-12-02   Done by: Tobias Landmann / Gerhard Muche     Copy dataset as template

Dataset metadata
DescriptionLand cover thematic classification result at 250-meter resolution using the FAO Land Cover Classification System (LCCS) standard; LC change estimates from LCCS from 1990/1 to 2000/1
Purpose LCCS described to improve biodiversity estimates, Vegetation changes related to LCCS themes, including magnitudes of change to improve biodiversity and hydrological budget estimates
Main theme(s) Climate change, deforestation, LC change factors, LC change rates, LCCS static LC
Subtheme(s) Carbon stock estimates, Changes in species habitats & hydrological regimes
Biome(s) Guinean savanna mosaic, tropical rainforest, shrubland savanna, semi-arid grasslands
Country(ies) Ghana, Burkina Faso, Benin (partially), Cote Ivoire (partially), Mali (partially), Togo (partially).
Administration unit(s) Including districts in Ghana and Burkina Faso
Locality(ies)
BIOTA Observatory(ies) BIOTA West LCCS field data derived from the whole BIOTA West study area (used for validation)
Period(s) 1990/1, 2000/1
Sampling method(s) LCCS field sampling protocol on general and specific land cover. Land Cover classes from 1 to 10
Responsible person(s) Tobias Landmann
Regional networks(s) BIOTA West Africa
Related subprojects / workpackages / topics CT1, topic 1 and 2, CT2, topic 1
Copyright holder University of Wuerzburg, German Aerospace Centre (DLR)
Restrictions of dissemination (4) Data provider
Start time of protection n/a
Duration of protection n/a
Rationale / notes ongoing analysis for publication of results on LC synthesis in BIOTA West



Data
Format Raster, ERDAS Imagine files (*.img)
File name(s) / size(s) Landsat TM/ETM+ path row
Software requirements Remote Sensing or GIS software
Documentation  
    Format Microsoft PowerPoint
    File name(s) LUCCGLOWA_finalmaps90_2000_quicklooks.ppt
    Status available
    Notes data is also part of the GLOWA Volta project
    Related publications Landmann, T., Schmidt, M., Dech, S., Schramm, M., Vogel, M. (2006): A new spatially-explicit and object-conditional land cover (LC) data set based on the FAO Land Cover Classification System (LCCS) for the GLOWA catchment area, Proceeding of the 6th AARSE international conference on earth observation and geoinformation sciences in support of Africa's development, 30 October - 2 November 2006, Cairo, Egypt. Cairo: The National Authority for Remote Sensing and Space Science (NARSS), 2006. ISBN 1-920-01710-0. pp144-149



Contact person
Landmann, Dr. Tobias 
University of Würzburg, DLR Remote Sensing Unit 
Mineralogical Institute, Fernerkundung, Am Hubland 
97074 Wuerzburg
Germany 
Phone: +49 931 31 81869 
Fax: +49 931 888 4961 
tobias.landmann@mail.uni-wuerzburg.de

Position: Senior Researcher, Sub-project leader; Remote Sensing

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