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Content Provider | IEEE Xplore Digital Library |
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Author | Khiry, M.A. Csaplovics, E. |
Copyright Year | 2007 |
Description | Author affiliation: Dresden Univ., Dresden (Khiry, M.A.; Csaplovics, E.) |
Abstract | Remote sensing has long been suggested as a time-and cost-efficient method for monitoring changes in arid and semi-arid environments. In this frame, many efforts have been made in the development of different methods of monitoring and assessing dry land degradation. Spectral mixture analysis (SMA) is recently much recommended as a most suitable method for monitoring and mapping land use land cover changes in arid and semi-arid regions. Therefore the main objective of the presented paper is to characterise and map the land use/ land cover changes in semi-arid areas in Northern Kordofan State (Sudan) by using SMA and multi-temporal imagery of the Landsat satellites TM (1988) and ETM (2003). The paper discusses and evaluates the efficiency of SMA in monitoring the land cover changes in semi-arid regions. |
Starting Page | 1 |
Ending Page | 4 |
File Size | 4056014 |
Page Count | 4 |
File Format | |
ISBN | 1424408458 |
DOI | 10.1109/MULTITEMP.2007.4293065 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2007-07-18 |
Publisher Place | Belgium |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Satellites Image analysis Spectral analysis Remote monitoring Degradation Ecosystems Remote sensing DNA Vegetation mapping Cows |
Content Type | Text |
Resource Type | Article |
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