ResearchSpace

Forest map of southern Africa with the aid of LANDSAT imagery

Show simple item record

dc.contributor.author van der Zel, DW
dc.date.accessioned 2008-08-13T12:32:51Z
dc.date.available 2008-08-13T12:32:51Z
dc.date.issued 1988
dc.identifier.citation van der Zel, DW. 1988. Forest map of southern Africa with the aid of LANDSAT imagery. National Scientific Programmes Unit: CSIR, SANSP Report 154, pp 83 en
dc.identifier.isbn 0 7988 4500 7
dc.identifier.uri http://hdl.handle.net/10204/2377
dc.description.abstract Even after 300 years of indigenous forest protection as well as 100 years of plantation forestry, no forestry map of South Africa was available. The development and availability of LANDSAT images in the early 1970s opened up possibilities to use satellite data. A project was initiated in 1981 to compile a forestry map of southern Africa (Republic of South-Africa, Swaziland, Lesotho, Ciskei, Venda, Transkei and Bophuthatswana). A portfolio of 31 maps on a scale of 1:250 000 has now been produced. Three examples of these form part of this report. A combination of LANDSAT and field data was used to bring about this set of maps. A number of teething problems were experienced, e.g. mountain shadow; distinction between pine and wattle; no tree canopy before about 10 years of plantation growth. In this report the procedure is discussed in detail. Problems are stated and solutions offered. Both sophisticated computer classification and qualitative approaches were used. The experience related in this report will be of considerable benefit to many other researchers and planners contemplating the inclusion of satellite data in their particular application fields en
dc.language.iso en en
dc.publisher National Scientific Programmes Unit: CSIR en
dc.relation.ispartofseries CSIR en
dc.subject SANSP en
dc.subject Forests en
dc.subject Maps en
dc.subject LANDSAT en
dc.title Forest map of southern Africa with the aid of LANDSAT imagery en
dc.type Report en
dc.identifier.apacitation van der Zel, D. (1988). <i>Forest map of southern Africa with the aid of LANDSAT imagery</i> (CSIR). National Scientific Programmes Unit: CSIR. Retrieved from http://hdl.handle.net/10204/2377 en_ZA
dc.identifier.chicagocitation van der Zel, DW <i>Forest map of southern Africa with the aid of LANDSAT imagery.</i> CSIR. National Scientific Programmes Unit: CSIR, 1988. http://hdl.handle.net/10204/2377 en_ZA
dc.identifier.vancouvercitation van der Zel D. Forest map of southern Africa with the aid of LANDSAT imagery. 1988 [cited yyyy month dd]. Available from: http://hdl.handle.net/10204/2377 en_ZA
dc.identifier.ris TY - Report AU - van der Zel, DW AB - Even after 300 years of indigenous forest protection as well as 100 years of plantation forestry, no forestry map of South Africa was available. The development and availability of LANDSAT images in the early 1970s opened up possibilities to use satellite data. A project was initiated in 1981 to compile a forestry map of southern Africa (Republic of South-Africa, Swaziland, Lesotho, Ciskei, Venda, Transkei and Bophuthatswana). A portfolio of 31 maps on a scale of 1:250 000 has now been produced. Three examples of these form part of this report. A combination of LANDSAT and field data was used to bring about this set of maps. A number of teething problems were experienced, e.g. mountain shadow; distinction between pine and wattle; no tree canopy before about 10 years of plantation growth. In this report the procedure is discussed in detail. Problems are stated and solutions offered. Both sophisticated computer classification and qualitative approaches were used. The experience related in this report will be of considerable benefit to many other researchers and planners contemplating the inclusion of satellite data in their particular application fields DA - 1988 DB - ResearchSpace DP - CSIR KW - SANSP KW - Forests KW - Maps KW - LANDSAT LK - https://researchspace.csir.co.za PY - 1988 SM - 0 7988 4500 7 T1 - Forest map of southern Africa with the aid of LANDSAT imagery TI - Forest map of southern Africa with the aid of LANDSAT imagery UR - http://hdl.handle.net/10204/2377 ER - en_ZA


Files in this item

This item appears in the following Collection(s)

Show simple item record