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Monitoring deforestation in Kenya
Multi-temporal data is used to determine the rate of deforestation between the years 1976, 1987 and 2000. Three Landsat images, for each period, are pre-processed, mosaicked and normalized difference vegetation index (NDVI) values computed. Based on the values, totally non-forested areas are masked...
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Published in: | International journal of environmental studies 2004-06, Vol.61 (3), p.281-291 |
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Main Authors: | , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | Multi-temporal data is used to determine the rate of deforestation between the years 1976, 1987 and 2000. Three Landsat images, for each period, are pre-processed, mosaicked and normalized difference vegetation index (NDVI) values computed. Based on the values, totally non-forested areas are masked out. The forested areas, both partially and wholly, show a very high degree of correlation between all the bands (reflective), thus necessitating an application of principal components transformation. The first two principal components and NDVI values are used in K-means unsupervised classification to distinguish forest from non-forest areas (that appeared as forest at first). Comparison of the resulting thematic maps gives an annual deforestation rate of roughly 15,000 ha. or 2% between any two epochs. |
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ISSN: | 0020-7233 1029-0400 |
DOI: | 10.1080/0020723032000170959 |