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Land cover mapping in the Upper Shire River catchment in Malawi using Landsat satellite data

Palamuleni, Lobina and Annegarn, Harold and Landmann, Tobias (2010) Land cover mapping in the Upper Shire River catchment in Malawi using Landsat satellite data. Geocarto International, 25 (7), pp. 503-523. Francis & Taylor. DOI: 10.1080/10106049.2010.490601. ISSN 1010-6049.

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Land cover mapping forms a reference base for resource managers in their decision-making processes to guide rural/urban growth and management of natural resources. The aim of this study was to map land cover dynamics within the Upper Shire River catchment, Malawi. The article promotes innovation of automated land cover mapping based on remote sensing information to generate data products that are both appropriate to, and usable within different scientific applications in developing countries such as Malawi. To determine land cover dynamics, 1989 and 2002 Landsat images were used. Image bands were combined in transformations and indices with physical meaning; together with spatial data, to enhance classification accuracy. A maximum likelihood classification for each image was computed for identification of land cover variables. The results showed that the combination of spatial and digital data enhanced classification accuracy and the ability to categorise land cover features, which are relatively inhomogeneous

Document Type:Article
Title:Land cover mapping in the Upper Shire River catchment in Malawi using Landsat satellite data
AuthorsInstitution or Email of Authors
Palamuleni, LobinaUNSPECIFIED
Annegarn, HaroldUNSPECIFIED
Landmann, Tobiastobias.landmann@uni-wuerzburg.de
Date:6 August 2010
Journal or Publication Title:Geocarto International
Refereed publication:Yes
In ISI Web of Science:Yes
Page Range:pp. 503-523
Publisher:Francis & Taylor
Keywords:land cover change; malawi; Landsat; LCCS
HGF - Research field:Aeronautics, Space and Transport (old)
HGF - Program:Space (old)
HGF - Program Themes:W - no assignement
DLR - Research area:Space
DLR - Program:W - no assignement
DLR - Research theme (Project):W -- no assignement (old)
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center
Deposited By: Julian Zeidler
Deposited On:10 Feb 2011 10:05
Last Modified:22 Apr 2013 08:58

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