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Table 2: Land use and occupation data and 2018. The observed classes were: (1) exposed soil, (2) vegetation, (3) urban sprawl and (4) road system.

Table 2 Land use and occupation data and 2018. The observed classes were: (1) exposed soil, (2) vegetation, (3) urban sprawl and (4) road system.

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referenced under the coordinates 07 ° 46 '9 '"S 34 ° 50' 28" W, as shown in Fig. 1. and to the east, with the Atlantic Ocean. It is approximately 40 meters above sea level. The selected hillside is
referenced under the coordinates 07 ° 46 '9 '"S 34 ° 50' 28" W, as shown in Fig. 1. and to the east, with the Atlantic Ocean. It is approximately 40 meters above sea level. The selected hillside is
implementation (shoring, embankment, piping). With the diagram, it is noticed that for each environmental indicator there are actions/causes that directly affec!
implementation (shoring, embankment, piping). With the diagram, it is noticed that for each environmental indicator there are actions/causes that directly affec!
for the Brazilian Geodetic System (SGB) was used. The hillside is in zone 25 S for the Universal Transverse Mercator (UTM) coordinate system. Figure 3: Use and occupation of the hillside area in 1975, 1989, 1998 and 2018 [22]. for the Brazilian Geodetic System (SGB) was used. The hillside is in zone 25 S for the Universal Transverse
for the Brazilian Geodetic System (SGB) was used. The hillside is in zone 25 S for the Universal Transverse Mercator (UTM) coordinate system. Figure 3: Use and occupation of the hillside area in 1975, 1989, 1998 and 2018 [22]. for the Brazilian Geodetic System (SGB) was used. The hillside is in zone 25 S for the Universal Transverse
Figure 4: Evolution of the slope area between 1975, 1989, 1998 and 2018. formation of new lands susceptible to landslides, as shown in Figure 4.
Figure 4: Evolution of the slope area between 1975, 1989, 1998 and 2018. formation of new lands susceptible to landslides, as shown in Figure 4.
It is possible to identify a difference between the results of mathematical methods. As predicted, the values of Table 3: Land Use and Occupation Prediction 2020. forecast for 2028, there is the growth of urban sprawl and its tendency to stabilization because, over the years, those obtained by the arithmetic method in the intercensity calculations [36].
It is possible to identify a difference between the results of mathematical methods. As predicted, the values of Table 3: Land Use and Occupation Prediction 2020. forecast for 2028, there is the growth of urban sprawl and its tendency to stabilization because, over the years, those obtained by the arithmetic method in the intercensity calculations [36].
Related topics:
GeographyUrban SprawlWater Erosionland use and occupationInteraction Networks
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