Assessment of Deforestation and Forest Degradation in the Blue Nile Region, Sudan (1996-2005), Using Remote Sensing and GIS Techniques
Assessment of Deforestation and Forest Degradation in the Blue Nile Region, Sudan (1996-2005), Using Remote Sensing and GIS Techniques
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Date
2014-02
Authors
El-Abbas, Mustafa
Elsiddig, Elnour
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Journal ISSN
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Publisher
UOFK
Abstract
Land use/land cover (LU/LC) changes, particularly deforestation and land
degradation, are one of the challenges that face the forest sector in Sudan and create the
need for well-designed information systems and management plans. To cope with this
issue, the efficiency of successive forest inventories was tested in the Blue Nile region, in
particular Karkoj map sheet. Part of the data was obtained from a field survey conducted
within the framework of an AFRICOVER project in 1996. In order to estimate the
changes, a field mission was executed in 2005 to revisit the same plots determined
previously. Earth Observation (EO) data in form of LANDSAT scenes were used to
assess the estimated results achieved, based on the terrestrial forest inventories. For
precise estimate, the EO data were taken in periods which coincide with the field survey
data acquisition dates and season. At the LU/LC information level, the results obtained
from the two applied methods were highly correlated. Meanwhile, the results taken from
the two successive inventories (1996 and 2005) gave detailed information about the
vegetation cover (e.g. species composition, regeneration, age, etc.). In the map sheet
under investigation, the results showed that forest land was drastically decreased from
47.1% to 17.7% during the studied time period. Moreover, the study indicated that some
of valuable tree species disappeared (12 tree species were recorded in 1996 compared
with only 5 in 2005), and the number of stems per unit area also decreased from 116 to
105 per hectare. The conversion of forest into agricultural fields and grassland was a
main force of deforestation. In conclusion, remote sensing and GIS are efficient tools to
estimate the large-scale LU/LC and its dynamics in timely and cost-effective manner.
Description
Keywords
Blue Nile; deforestation; remote sensing; successive inventory