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into bottom flats through hilly terrain. In those cases, most logical hypsometric
and morphologic bounding is performed. Then, further analytical procedures were
carried out.
The basic tool for morphometry (geomorphometry) analyses is the latest cor-
rected version (v.3) of 3”SRTM (Shuttle Radar Topography Mission) digital eleva-
tion model (Jarvis et al.,
2006
) with global coverage, from which the area of the
Republic of Macedonia is extracted. This rectangle is then preprocessed to UTM
coordinates with 69 m grid resolution. The model shows sufficient accuracy with
average vertical shift of
15 m (Markoski and Milevski,
2005
;
Milevski,
2007
). To minimise shift effect, empiric coefficients were used during cal-
culations, especially with slopes (Milevski,
2005a
). Following, only mountain areas
of interest were cut off from the model, to undergo further morphometric processing
in SAGA GIS software.
Land-use analyses were made from previously checked Corine Land Cover 2000
raster data model. Some minor errors noted in the model were corrected with com-
parison of appropriate spectral bands on Landsat ETM+ satellite imagery (mostly by
NDVI relation). Then CLC2000 model is carefully re-sampled to 69 m resolution -
same as the DEM model, enabling joint identification, calculation and quantifica-
tion of land-use areas with respect to the topographic elements. Finally, comparative
analyses were made, showing some patterns of morphometry influence on land use.
±
5 m to maximum
±
6.3 Basic Morphometric Characteristics
Basic morphometric characteristics of the high mountains in the Republic of
Macedonia are presented in Table
6.1
. These include base point in foothill (
H
min
),
highest peak (
H
max
), relative altitude (
H
rel
), mean altitude (
H
sr
), area (
P
) and volume
(
V
) of each mountain.
Table 6.1
Basic morphometric characteristics of the high mountains in the Republic of Macedonia
P
(km
2
)
V
(km
3
)
No.
Mountain
H
min
H
max
H
rel
H
sr
(m)
iV
/
P
1.
Korab
589
2,753
2,164
1, 564.9
289.5
282.6
0.98
2.
Shara Mt.
590
2,748
2,158
1, 602.7
828.6
839.1
1.01
3.
Pelister
740
2,601
1,861
1, 480.3
396.6
293.7
0.74
4.
Jakupitsa
316
2,540
2,224
1, 127.2
1, 272.7
1, 032.4
0.81
5.
Nidze
272
2,520
2,248
1, 197.3
460.0
425.5
0.93
6.
Galichitsa
693
2,288
1,595
1, 294.3
346.3
208.2
0.60
7.
Stogovo
570
2,268
1,698
1, 345.8
458.0
355.3
0.78
8.
Jablanitsa
574
2,256
1,682
1, 314.2
207.6
153.6
0.74
9.
Osogovo
424
2,252
1,828
1, 074.8
981.0
638.5
0.65
10.
Kozuf
449
2,165
1,716
1, 058.5
543.9
331.6
0.61
11.
Bistra
587
2,163
1,576
1, 384.9
643.7
513.6
0.80
12.
Suva Gora
301
2,061
1,760
1, 070.7
923.4
710.8
0.77
13.
Belasitsa
268
2,029
1,761
843.6
167.5
96.3
0.57
Average
490
2,357
1,867
1, 248.3
578.4
452.4
0.77
Total
-
30,644
-
-
7, 518.8
5, 881.2
-
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