Full text: Resource and environmental monitoring

  
  
in the Puna area: 
0 vegetation cover deterioration; 
0 water erosion; 
0 wind erosion; 
0 salinization and alcalinization. 
From the point of view of their quantitative importance, one 
process can be mainly identified: water erosion. 
This problem decreases land productivity . Changes due to 
human action develop fast over short time intervals in 
response to precipitation events of high intensity, becoming 
evident as rills and gullies or as broad bare surfaces due to 
intense sheetflow. 
A management plan for this basin should be made on the 
basis of a proper description and diagnosis of the different 
levels of water erosion present in the area. At the same time 
it should include appropiate provisions for the regulation of 
land use in general and for the socio-economic development 
of the population .Those activities should be promoted from 
the point of view of the cultural traditions and pattern 
behaviour of the inhabitants . The use of preventive measures 
is very important in the areas not yet affected by 
degradation processes or showing a minimum degree of 
erosion. 
It was not possible to separate the degrees of water ero- 
sion in TM color composites of single bands (2,4,5 ; 
3,4,5:3,4,7 )or in single indexes such as SAVI (8) or band 
3/4 ratio. 
The objective of this research was to develop an 
enhacement to discriminate the earlier stages of water 
erosion through Landsat Thematic Mapper images in 
this particular region of Argentina because none of the 
usual enhacements were good enough. 
2.1.Background: 
The Miraflores river basin is located between 22 and 25 
Southern latitude and 65 to 67 Western longitude in the 
Argentine Puna region . 
The climate is semi-arid showing wide temperature 
fluctuations between day and night. Winter is the cold and 
almost dry season, with a mean rainfall of 10 mm; while 
summer is relatively warm and rainy (290 mm) 
The arid conditions produce a scant vegetation cover 
which offers negligible protection against erosion. 
The high erodability of the soils, also enhances the action of 
the winds and torrential rains from November to March. 
The semiarid steppe is mainly composed of tussock gras- 
ses (Pennisetum chilense;Festuca scirpifolia) and shrubs 
(Parastrephia | lepydophylla; Baccharis  boliviensis and 
Tetraglochin cristatum) with an average height between 40 
and 80 cm. 
In Winter the vegetation covers 40 to 60 % of the 
ground. In Summer ( rainy season) the vegetation cover 
increases up to 80% 
Since the pre-colombian times, this region has been 
subjected to the practices of shifting breeding of native 
camelids,llamas and vicuñas in open fields. The few crops - 
are grown in narrow terraces on the foot hills . 
Spanish colonization and the beginning of sheep and beef 
cattle augment the impact over this ecosystem with little 
resilience . The introduction of pastures such as Eragrostis 
curvula and the use of fences have increased the number of 
cattle heards, especially beef leading to overgrazing, which 
is considered the principal erosive factor (11) in this region. 
3. METHODS: 
3.1.Identifying water erosion degrees in the field: 
After the stratification of the Miraflores river basin, 
seven sampling areas (6)were choosen according to their 
representativity , forty three "test sites"were selected (10). A 
correlation test was performed between landfeature reflec- 
tance and TM bands. 
In RUSLE a subfactor method is used to compute SL as a 
function of four subfactors :prior land use,canopy,ground 
cover and within- soil effects. 
Water erosion features were measured in the field according 
to the "Desertification Method" 6). 
3.2. Digital Analysis 
Two sets of Landsat Thematic Mapper (TM) data were 
used, one from the Winter dry season (October,1991) and 
the other from the Summer rainy season (March,1993). Six 
bands (except thermal band) from Landsat TM were used 
for this study. 
A regression analysis was performed with the objective of 
384 International Archives of Photogrammetry and Remote Sensing. Vol. XXXII, Part 7, Budapest, 1998 
  
  
  
sior 
3,4, 
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