sensing is called the normalized burn ratio (NBR), computed as
the difference between near-infrared (NIR) and middle-infrared
(MIR) reflectance divided by their sum (Roy et al, 2006).
Though the near-infrared wavelengths in colour infrared
photographs are useful in mapping vegetation mortality and soil
moisture, it has been shown that mid-infrared bands (band 5 =
1.55-1.75 Am and band 7 = 2.08-2.35 Am) of Landsat
Thematic Mapper (TM) contribute new information for
classifying burn severity (White et al, 1996; Miller and Yool,
2002). Most researchers agree that fire severity is a measure of
the amount of soil organic matter lost due to burning, decrease
in surface cover, and volatilization or transformation of soil
components to soluble mineral forms (Wells & Campbell, 1979,
cited by Miller and Yool, 2002). Research by Clark (2000, cited
by Miller and Yool, 2002) has shown that pre- and post-fire
differences of mid-infrared to near-infrared ratio (TM band
7/TM band 4) provided the highest contrast fire scar in
comparison to TM band 4, PCA, Kauth—-Thomas, NDVI, and
MSAVI and, therefore provides the best enhancement for
classifying changes due to fire. NBR values range between -1
and 1 as does the NDVI (Miller and Yool, 2002).
The capabilities of remote sensing and geographic information
science (GIS) for mapping and monitoring changes in land are
burgeoning (Alo and Pontius Jr, 2008). These techniques have
been used increasingly as tools to measure the spatial and
temporal patterns of land cover in many regions of the world
(e.g. Musaoglu et al, 2005; Yuan et al, 2005 in Alo and Pontius
Jr, 2008; Kusimi 2008; Yiran et al, 2011). However, mere
monitoring of the land-cover changes does not necessarily shed
light on the underlying causes of the land transformations.
Scientists and policy makers need to understand the
fundamental processes of land transformation in order to
establish effective conservation and management strategies ( Alo
and Pontius Jr, 2008). In this regard, the study was undertaking
using remote sensing and social survey techniques to access the
causes and socio-economic and environmental effects of the
annual bushfires on the people and the vegetative cover.
2. STUDY AREA
The study was conducted in the Krachi District which is
located in the northern part of Volta Region in Ghana between
latitude 7°20' - 8°20'N of the Equator and longitude 0°15'W —
0°24'E of the Greenwich Meridian. The District falls within two
climatic regions, the tropical continental in the north and the
wet semi-equatorial climate in the south with a mean annual
rainfall of 115 — 150 cm. Mean monthly temperatures range
from 24°C in August to about 36°C in March. The southern part
of the District is covered by the wet semi—deciduous forest
whiles the northern sector the vegetation is the savannah
grassland (Dickson and Benneh, 1995). The main drainage
system in the district is the Volta Lake with a number of rivers
draining into it (Fig.1). The lake covers the western part of the
map and also partitions the district primarily into the Kete
Krachi arm to the west and the Dambai arm to the east.
The District has experienced a steady growth in population
from 29,980 (1970) to 65,530 (2000) (Ghana Statistical Service,
2002). Over 80% of inhabitants engage in agriculture which
includes farming, fishing and pastoralism. Generally, farming is
on subsistence level and crops grown include cereals like maize,
sorghum and root crops such as yam and cassava. The
environmental problem of the farming activity is shifting
cultivation and bush fallowing which employ the slash and burn
40
approach in preparing land for cultivation. Lands are often set
ablaze by farmers to minimise the cost of preparing lands.
9200w oo too COTE O'Z00E
dr
Inset Ghana Map Showing Study Area
Legend
9 Sampling Sites
vo River
7777 Read
Lake
Boundary
Volta Region | my a pope
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Fig.1: Map of the Study Area
3. RESEARCH MATERIALS AND METHODS
Field data collection involved interviews with opinion leaders
such as chiefs, queen mothers, assemblymen and women,
District Assembly staffs, Fire Service and National Disaster and
Management Organization (NADMO) (e.g. Gangemi et al,
2003). A total of 102 respondents were interviewed in 17 towns
and Table 1 illustrates the number of respondents selected from
each community and Fig.1 shows the spatial distribution of the
communities. The District was divided into East Krachi and
West Krachi and a simple random sampling method without
replacement was used to select the communities (e.g. Kusimi
and Yiran, 2011). The number of people selected in each
community was a function of population size. Focus groups
discussions were also organized among farmers and Fulani
herdsmen (e.g. Gangemi et al, 2003). Proceedings were
recorded and later transcribed to augment information from
interviews.
Satellite images employed for the determination of change in
vegetative cover/fire severity are Landsat ETM+ of 2002 and
2003. These were the only free downloadable scenes of the
study area. The study area falls into two scenes of row and path
054/193 and 055/193. The images were downloaded from the
Global Land Cover Facility website www.glcforg and
glovis.usgs.gov. Landsat ETM+ 2002 images were acquired on
Table 1: Nu
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