Detecting Areas Of Vegetation Change In The
Densu River Basin, Ghana
Author(s)
S. Mantey, N. D. Tagoe & M. S. Aduah
Abstract
The objectives of this study were to monitor vegetation change patterns and to
determine how land management practices have contributed to vegetation change
in the Densu Basin.
The procedures employed involve independently classifying multi-temporal
images using a hybridized classification method after geo-referencing and coregistering
images. A land cover map of the basin was pre-loaded onto a Juno SB
hand-held GPS receiver and geo-referenced for ground-truth delineation of
vegetation classes. Readings were taken for thirty-three (33) geographical
positions and corresponding classes of vegetation to enhance classification
accuracy.
The Normalized Difference Vegetation Indices (NDVI) of Advanced Very
High Resolution Radiometer (AVHRR) images were monitored for variations in
the NDVI values due to seasonal changes. The effects due to phenology were
then minimized using the Normalized Difference Senescence Vegetation Index
(NDSVI) method.
The Principal Component Analysis (PCA) technique was used to identify
possible areas of vegetation depletion in the basin. The trend of change was
further determined by a NDVI image differencing method by setting threshold
values that best discriminate per pixel change.
The result of this study revealed significant loss of vegetation cover in the
basin. For example whereas open forest was dominant in the northern sector with
a total coverage area of 490 km2 in the 1985 classification, the same vegetation
type disappeared by 1991 and was replaced by scattered trees with dense herbs.
There was a further decrease of forest cover between 1991 and 2000 from 332
Keywords
hybridized classification, phenology, AVHRR, PCA, NDVI, NDSVI
Related Book
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