fuelwood volume categories. The conditions which met
these criteria were: land form, vegetation type and
soil type, and the maps produced were called soil/
vegetation/land form (S/V/LF) base maps.
The initital step in the production of the S/V/LF
base map was to divide each urban zone into sub
zones based on their LANDSAT image characteristics.
The LANDSAT image was used at this initial level,
even in spite of it's low resolution, because the
base data was generally consistent for the entire
urban zone, ie., a characteristic reflectance type
was likely to represent the same ground conditions
anywhere in the zone. These sub-zones, called
"cartographic units" (CU's), were, generally,
greater than 25 square kilometers in area and were
characterized by several different LANDSAT
reflectance types. The next step is to define the
relationships between LANDSAT reflectance types and
ground conditions, and to evaluate the correlation
between these identifiable ground conditions and
fuelwood volume categories.
Field sites were located in each of the different
LANDSAT reflectance types in order to determine
their corresponding ground conditions. Two to three
sites were placed in each major reflectance type in
order to determine the variability of ground
conditions represented. Evaluation of this
variability showed that for several major
reflectance types the variability in predicting
ground conditions was great enough to reconsider
using the LANDSAT imagery alone as the base data for
extrapolating the site-specific data to the entire
zone. It was decided, therefore, to interpret the
IGN aerial photography to determine the ground
condition present in each of the CU's of a zone.
Representative portions of each CU were identified
and their aerial photo coverage assembled. The
photos were interpreted in stereo format using a
mirror stereoscope. The recognition of specific
ground conditions, correlated to fuelwood volume
categories, has been standardized through the
application of a photo interpretation key. This key
was developed in the process of defining a series of
ground condition categories, called "terrain units"
(TU's). These units, which are distinctly different
and are characterized by having homogeneous
conditions of landform, soils and vegetation species
composition, have been established by analysis of
data from more than 1,200 sites placed in the field
in Niger. Each of the individual TU's is represented
by: 1) verbal descriptions of their characteristic
landform and terrain conditions, soils
characteristics, and vegetation species
compositions, and 2) a series of stereograms made
from the IGN aerial photography showing the
appearances of the TU. The result of the
interpretation process is a map of the selected area
in a particular CU showing the distribution and
extent of each TU observed. The surface area of each
TU in the interpreted zone is determined using a
polar planimeter and it's relative area calculated.
The results from this interpreted zone are
considered representative of the entire CU and a
legend marked within the CU boundary, as shown in
Figure 2. This figure shows the identifying number
of each CU, it's surface area, the codes
representing the TU's interpreted, and their
percentage surface area (the number in parentheses)
in the CU. Each CU in the urban zone is treated in
this manner until the S/V/LF base map is completed.
5.2 Phase II: Sampling procedure and estimation of
ruelwood volumes for the five urban zones
J.2.1 Selection of field sites for the collection
of ground data
With no data available concerning actual volume
levels or their variability, assumptions had to be
made regarding appropriate sample size, method of
allocation and data analysis to produce the volume
estimates. The number, and method of selection, of
the field sites was determined based on the eventual
use of the information, the constraints, and the
data bases from which information could be
extracted. The eventual use of the information, in a
national level planning context, indicated an
appropriate level of effort to be expended in the
collection of field data. With no comparative
information available, and because the needs were
only for very basic and "first look" types, neither
accuracy, nor precision, of the quantitative results
were specified by the GON. The number of field
data collection sites was defined by the time
available for field work, and the capacity of the
RIM section for collecting site-specific ground
data. Finally, the specific method of selecting
ground site positions was determined by the
availability of: the LANDSAT MSS images, the S/V/LF
base maps, the IGN topographic maps, and the IGN
aerial photography.
For a complete urban zone, with a surface area of
31,400 square kilometers, a total of 75 field sites
would be selected. The RIM section field crews
complete an average of three sites per day when
collecting quantitative data. The average working
month is 20-25 days, which defines the total of a
maximum of 75 sites. It must be noted that, the
Maradi zone is only 21,000 square kilometers and
only 50 sites were selected. The total number of
sites completed in the field, at which quantitative
data was collected, was 349.
The method used to select the individual sites
within each zone is one which is classically applied
where several levels of base data are available
(especially remotely sensed data). This is a
multi-stage, or multi-level approach where the full
zone is divided into sub-zones of equal area by
interpreting the most general base data, and a small
portion of these selected for more detailed analysis
using the next most detailed base data. This
effectively eliminates a large portion of the zone
for the eventual placement of field sites. These
sub-zones are again divided into equal parts and
again a small proportion selected for more detailed
examination. For each zone the LANDSAT was
Figure 2. A portion of the soil/vegetation/land form
(S/V/LF) base map showing the lines defining the
cartographic units (CU's), and the legend showing
the CU number, it's surface area, the terrain unit
codes, and their respective surface areas in
die CU.