Global Geology 2012, 15(1) 58-65 DOI:     ISSN: 1673-9736 CN: 22-1371/P

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Keywords
land cover /use
Landsat TM and ETM +
unsupervised classification
vegetation change
Authors
Aruna V�� F�� Conteh and CHEN Shengbo
PubMed
Article by Aruna V�� F�� Conteh and CHEN Shengbo

Remote sensing classification of western Sierra Leone using landsat TM and ETM +

Aruna V�� F�� Conteh and CHEN Shengbo

College of Geo-Exploration Science and Technology��Jilin University��Changchun 130026��China

Abstract��

The study examines the changes of land cover /use resources for the period under investigation�� An unsupervised vegetation classification is being performed that provides five distinctive classes and thus assesses these changes in five broad land cover classes-high /moist forests��forest regrowth��mixed savanna��bare land / grass and water�� The remote sensing images used in this work are both images of TM and ETM + in different time periods ( 1986 to 2001) to determine land cover /use changes�� A fairly accuracy report is recorded after performing the unsupervised classification��which shows vegetation has been depleted for over the years�� Changes created are mostly human and to a lesser extent environment�� Human activities are mainly encroachment thus altering the landscape through activities such as population growth��agriculture��settlements��etc�� and environment due to some perceive climatic changes�� This vegetation classification highlights the importance to acquire and publish information about the country's partial vegetation cover and vegetation change including vegetation maps and other basic vegetation influencing factors��leading to an understanding of its evolution for a period��

Keywords�� land cover /use   Landsat TM and ETM +   unsupervised classification   vegetation change  
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