Extração de dados de modelos espacializados visando o cálculo de indicadores para a avaliação do potencial de sustentabilidade hidrica da cultura canavieira.

Abstract : This article aimed to present the methodological procedures and geoprocessing techniques used for data extraction of thematic cartographic bases or spatial models for the calculation of indices for the evaluation of water sustainability of sugarcane cultivation, applied to the analytical description of four microregions of Goiás State, Brazil: Sudoeste de Goiás, Vale do Rio dos Bois, Quirinópolis and Meia Ponte. The various spatial data in shape format, acquired in secondary sources or elaborate models were introduced in a Geographical Information System (GIS) from computational ArcGIS 10ESRI package. Where by means of simple geoprocessing techniques were done tweaking and/or crossings of spatial data (shapes) in order to obtain data (IUPAP) concerning territorial units of analysis adopted (UTAs microregions) for calculating dimensionless index proposed by System of Indicators for Assessment of the Potential for Water Sustainability and Monitoring of the Sugarcane Cultivation -SISH-Cana (FERRAZ, 2012). The results demonstrate the appropriateness of the techniques used and the level of precision and accuracy of spatial models adopted, whereas the proposed indexes apply to the characterization of the UTAs in strategic planning process, territorial and/or sectoral (water resources; agriculture).
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Journal articles
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https://halshs.archives-ouvertes.fr/halshs-00933694
Contributor : Vincent Dubreuil <>
Submitted on : Monday, January 20, 2014 - 10:23:41 PM
Last modification on : Friday, July 5, 2019 - 12:42:03 PM

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  • HAL Id : halshs-00933694, version 1

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Ferraz Rodrigo, Margareth Simões Penello Meirelles, Vincent Dubreuil. Extração de dados de modelos espacializados visando o cálculo de indicadores para a avaliação do potencial de sustentabilidade hidrica da cultura canavieira.. Revista Brasileira de Cartografia, Sociedade Brasileira de Cartografia, Geodésia, Fotogrametria e Sensoriamento Remoto, 2013, 65 (5), pp.823-832. ⟨halshs-00933694⟩

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