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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Tree Density Map

 Download PDF document        Last update: 2007-08-29   Done by: Matthias Schramm     Copy dataset as template

Dataset metadata
DescriptionMap describing tree density derived from different scaled remote sensing data by linear spectral unmixing.
Purpose Estimation of the possibility to detect biodiversity change with satellite data more exact.
Main theme(s)
  1. Biodiversity
  2. Remote sensing
  3. Spectral unmixing
  4. Tree density
  5. Change detection
  6. Landcover
Subtheme(s) Forest
Biome(s)
  1. Woodland
  2. Savanna
  3. Shrubland
Country(ies)
  1. Burkina Faso
  2. Benin
  3. Namibia
  4. South Africa
Administration unit(s)
Locality(ies)
BIOTA Observatory(ies)
  1. Dano/ Bontioli NP
  2. Pendjari National Park
Period(s) 2008 - 2010
Sampling method(s) standardized data sheet, standardised laboratory methods,Personal observations and existing data on observatories
Responsible person(s) Matthias Schramm
Regional networks(s) BIOTA West Africa
Related subprojects / workpackages / topics
  1. W01 Remote sensing
  2. CT1 Status of biodiversity in West Africa
  3. CT3 Tools and products for decision making …
Copyright holder University of Wuerzburg, German Aerospace Centre (DLR)
Restrictions of dissemination (1) Available
Start time of protection January 2008
Duration of protection 3 years
Rationale / notes



Data
Format Erdas Imagine
File name(s) / size(s)
Software requirements Software supporting *img raster files
Documentation  
    Format Adobe Acrobat Reader
    File name(s)
    Status in process
    Notes Dissertation (expected submission date 11/2008)
    Related publications



Contact person
Schramm, Dipl.-Ing. Matthias 
Lehrstuhl für Fernerkundung, Universität Würzburg 
Am Hubland 
97076 Würzburg
Germany 
Phone: +49 931 888 4794 
Matthias.schramm@uni-wuerzburg.de

Position: Scientist

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