
SIG na gestão da água para a agricultura
Author(s) -
António Perdigão
Publication year - 2012
Publication title -
finisterra
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.242
H-Index - 10
eISSN - 2182-2905
pISSN - 0430-5027
DOI - 10.18055/finis1576
Subject(s) - thematic map , environmental resource management , context (archaeology) , land cover , water framework directive , agriculture , land management , european union , decision support system , land use , land information system , water resources , computer science , environmental science , water quality , business , environmental planning , geography , cartography , engineering , civil engineering , data mining , biology , ecology , archaeology , economic policy
GIS IN WATER MANAGEMENT FOR AGRICULTURAL PURPOSES. The needs originating from the application of European Union’s CAP and Water Directive demand a very precise knowledge of the potential uses of water, especially in what concerns to its volumes, availability and quality. In Southern Europe this is particularly significant in order to conduct an eco-compatible management of water resources. Decision Support Systems (DSS) for agricultural purposes and management of agriculture vs. environment conflicts, assuming the need for a compatible water management, account for the objectives and tools adapted to the problems under analysis. The specificities of agricultural practices have been slowly requiring the use of information technology tools, monitoring and follow-up systems, GIS, simulation models and remote sensing approaches, using platforms with different spatial and temporal resolutions. Irrigation management involve availability of good quality data assuming that most information is dynamic, therefore requiring permanent updating (e.g. land use/land cover and climate data). However, the technical characteristics of the tools, very seldom are not adapted to the landscape units context or to the administrative/regional units, to which they are to be applied. The land units approach enables the thematic analysis of landscapes, assuming a strategy based on textures classified as spatial units, in terms of land use/land cover characteristics.