Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Mapping of Colophospermurn mopane using Landsat TM in eastern Botswana
Stockholm University, Faculty of Science, Department of Physical Geography and Quaternary Geology (INK).
Stockholm University, Faculty of Science, Department of Physical Geography and Quaternary Geology (INK).
2008 (English)In: The South African Geographical Journal, ISSN 0373-6245, E-ISSN 2151-2418, Vol. 90, no 1, 41-53 p.Article in journal (Refereed) Published
Abstract [en]

The spatial distribution of a tree species, Colophospermum mopane is mapped at its southern limits in eastern Botswana. Its relationship with soil type distribution is also investigated. Methods applied in the exercise used the possibilities of integrated applications of geographic information systems and remote sensing to detect and delineate spectral classes of C. mopane and of soils. Landsat TM data for the wet and dry seasons were analysed and interpreted for soil and vegetation classification. Supervised classification of the wet season (19/04/93) image was carried out using land use/cover classes derived from Colour infrared (CIR) aerial photographs, flown during the wet season (April, 1996) over the study area. Classification of the dry season (19/10/84) image on the other hand was based on the existing Food and Agricultural Organisation (FAO) soil maps of the same area. Results show that CIR photographs can be reliably used in selecting training areas for the classification of Landsat TM imagery. Secondly, results also indicate that Landsat TM can be used to map the distribution pattern of mopane. The methods applied in this study and the tools used prove that the much needed inventorying of vegetation in Botswana can be carried out using remote sensing. Lastly, the study shows that spectral classes of soil and vegetation have a positive relationship.

Place, publisher, year, edition, pages
2008. Vol. 90, no 1, 41-53 p.
Keyword [en]
remotely-sensed data, cover changes, vegetation, reflectance, management, imagery
National Category
Earth and Related Environmental Sciences
Identifiers
URN: urn:nbn:se:su:diva-58270ISI: 000256807500005OAI: oai:DiVA.org:su-58270DiVA: diva2:420245
Note
authorCount :4Available from: 2011-05-31 Created: 2011-05-30 Last updated: 2017-12-11Bibliographically approved

Open Access in DiVA

No full text

Search in DiVA

By author/editor
Arnberg, Wolter
By organisation
Department of Physical Geography and Quaternary Geology (INK)
In the same journal
The South African Geographical Journal
Earth and Related Environmental Sciences

Search outside of DiVA

GoogleGoogle Scholar

urn-nbn

Altmetric score

urn-nbn
Total: 26 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf