Oliveira, Ronaldo Pereira de
less significant than DTM analysis, having no classification improvement for highlands and most of low lands classes
(0,2 ha for intermediate (M); 0.5 for very high (MA); and no differences for high (A)). For the depositional environment
occurrences of extremely high (EA) vulnerability class differences were up to 1796 from previous EA class total area as
conflicting classification. This procedure could help to update land cover delineation of the old soil map (Embrapa,
1980), therefore from urban areas originally having 42,659.1 ha (34.9% of the total area) to 55,964.3 ha (45.9% of the
total area) by vector digitalisation. Next step was supervised classification having 58,173.1ha (47,7% of the total area, A
= 2,300 ha - 1.8%). In addition, a refined supervised classification to extract exposed soil areas giving 57,707.6 ha
(47,3% of the total area, A = 550 ha - 0.4%). In closing, vegetation cover did not suffer any representative changes,
since a detailed information from mining activities and mangrove vegetation, fieldwork at 1:10,000 scale, were
incorporated on the land cover map.
4. CONCLUSIONS
e Using the project output information, the SMAC is already taking planning actions on preservation areas, in which
mining activities have being pointed out as great impact on the land environmental quality.
e Although the importance and usefulness of numeric and cartographic products generated to the SMAC project, the
most positive achievement was the full involvement of some surveyors whose have helped to make considerable
changes on traditional survey methods.
e Considering the project execution, the ILWIS environment has proved to be easy and reliable to perform all the
necessary spatial analysis, even if some extra time was required to fully understand the class domain management.
e In spite of the slow learning curve for proper application of object-oriented concepts, it has shown to be a
consistent methodology to help surveyors during system abstractions by means of diagrams that reflect thematic
processes, representations, and notations.
e The coupling of UML and geoinformation approaches offers a complementary environment for both the linguistic
concepts for geometric representations, and the object-oriented constructs for development of graphic interfaces,
distributed systems and dynamic management of data structure integrity.
e Environmental application researchers should be alert of the system approach potentiality for semantic
representations of complex biophysical relationships.
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International Archives of Photogrammetry and Remote Sensing. Vol. XXXIII, Part B7. Amsterdam 2000.