Geoprocessamento aplicado na distribuição espacial da capacidade de uso de uma microbacia

• Autor(a) principal: Filho, Francisco Antônio Galatti [UNESP]
• Data de Publicação: 2008
• Outros Autores: Campos, Sérgio [UNESP]
• Tipo de documento: Artigo
• Idioma: por
• Título da fonte: Repositório Institucional da UNESP
• Texto Completo: http://200.145.140.50/ojs1/viewarticle.php?id=321&layout=abstract; http://hdl.handle.net/11449/70352
• topic: Geographical Information System (GIS); Idrisi Kilimanjaro; Soil use; Geographic information systems; Land use; Sand; Soils; Watersheds; data processing; environmental planning; GIS; soil improvement; spatial distribution; territorial planning; watershed; Brazil; South America

The present study aimed to show the spatial distribution of the Rochas watershed (Avaré-SP, Brazil) soil use capacity using the Idrisi geographical information system in order to contribute to a better territorial organization and the planning of the appropriate soil occupation. The obtained results using this methodology showed that most of the Rocha watershed areas are from the following groups: dystrophic yellow-red latosol (36.64%), eutroferric and distroferric red latosol (30.30%) with sandy texture. There was a predominance of areas with slope classes of 0-12%, plain to wavy relief (61.37% of the watershed area) showing that these areas are appropriate for annual culture plantations with wide use of machinery. Most of these areas were classified as class IV (73.79%) as to use capacity. In the studied area the following subclasses of land use capacity were found: IIe, s; IIIe; IVe; IVs; IVe,s; VIe and VIIe. Capacity subclasses IVe; IVe,s; IVs and Vie were the most significant because they are areas that can be used for agriculture but subject to severe soil impoverishment if there are no special care mainly for annual cultures. The Idrisi geographical information system was efficient to determine soil use capacity of the Rocha's watershed showing that the use of geoprocessing tools makes data analysis easier and faster, allowing digital data storage for future analysis uses mainly for territorial planning and environmental studies.