the phenomenon of desertification. With the aide of a supervised
classification using the method of maximum of likelihood, we
obtained the map of land cover which includes 7 classes which
represent the following table:
C) the map of the slopes
We obtenaid the slopes from a digital terrain model (see figure
6), this map includes 4 classes which are:
Classify | Themes | Corteges floristiques state of classify slope in (%) | surface in (ha) | surface in (%)
deterioration class 1 0-3 4415211 77.40
class 1 Cereal class 2 3-6 9084,33 15,92
class 2 course | Artemisia compestris FD’ class 3 6-12 3147,93 5,52
class 3 course Stipa tenacissima FD class 4 >12 662.93 1.16
class 4 course Noaea mucronata VD" Tb 3: classes of slopes
class 5 Sand
class 6 structure 4 - Realisation of the map of sensitivity to the desertification
class 7 Bare soil by crossing of the different information layers.
Tb. 1: classes of land cover
O.c | 1% | 2% | 3% | 4% | 5% | 6% | 7% |pixels| total
l 100 25 | 100%
2 95.65] 4.35 46 | 100%
3 8.82 |91.18 34 | 100%
4 100 61 100%
5 100 33 | 100%
6 100 13 | 100%
7 100| 12 | 100%
total 224 | 100%
Tb.2: The classification Matrix of confusion
In order to determine the precision of the classification we have
evaluated the indices (G and K) which are respectively 0.97 and
0.98, these two meaningful values show that the classification is
good.
B) the pedopaysagic map
The pedopaysagic map was established using an approach based
settled on a photo interpretation of the satellite pictures
LANDSAT TM of 08 April 1995. This interpretation allowed us
to point out some radiometric units in relation with the couple
soil morphology and soil land cover (see figure 5).
( remote sensing images )
C colored composition )
fü photo interpretation ]
É terrain samples 3
( interpretation of the big land units )
(^ results verification 9
i
( pedopaysagic map -
Fig 4: Methodical organigram for the pedopaysagic map
realisation
" fairly degraded
^ very degraded
768
remote sensing images )
| land cover map | pedopaysagic slopes map
map
[ information coding ]
(in decision matrix ud
map
crossing
( synthesis map )
Fig 7.: General organisation chart of the methodology for the
realisation of the map of sensitivity to the desertification
Once we have built the basis maps we proceeded with a numeric
coding of the thematic information in order to introduce theme in
a GIS, in order to make the operations of seizing, of storage and
make the combinations. On the other hand we defined and
evaluated the potential sensitivity to desertification of each one
of the physical parameters, their reactions to the processes of
deterioration are different and depend on their own features. The
potential sensitivity of the vegetation parameter depends on the
physiognomic type, of its biology of its rate of recovery and
especially of the appeal that its presents for man. for the
morphology and the pedopaysagic are examined in their opinion
carriers ( the relief, the texture and the blinding). The final
crossing different layers of information according to a very
definite matrix us allowed to get 4 classes: very sensitive class,
sensitive class, class fairly sensitive, class little or most sensitive
(see figure 8).
CONCLUSION
In this study the objective was to develop a methodology
combining multisources data in order to apprehend the
phenomenon of desertification. The integration of the
cartographic data in a GIS and their crossing according to a very
definite matrix, allowed to get some results indicating the most
exposed zones to the problem of desertification
Intemational Archives of Photogrammetry and Remote Sensing. Vol. XXXII, Part 7, Budapest, 1998