Diseño de una Infraestructura de datos espaciales sobre agricultura y agua en la Región de Murcia-IDEarM: aplicación al Campo de Cartagena y el Mar Menor

Abstract

The integration of several sources of spatial datasets is relevant to develop of public services in all thematic domains. These services are provided and also used by all levels of the administration. Actually, the demand of these services is increasing among the managers of water to find more efficient solutions in the planning of water resources uses. To reach this aim, the integration of several huge geographical datasets from different sources and spatiotemporal resolutions is needed. At the present, the spatial information presents a relevant role in the decision-taking process in all levels of the administration, considering the 14/2010 Law, of 5th of July, about the infrastructures and geographical information services of Spain, the European INSPIRE Directive, or the executive law of USA President of 2002 that was one of the pioneer in this topic.However, the administrations usually have difficulties to integrate all the available geographical information for a same thematic and territory. The huge diversity of data models, the several specifications, and the different types of connectors used in the organizations with competences in the same territory, constitute barriers in the integration. To avoid these limitations, the organisms should be defined common norms, standard specifications and agreements for sharing and facilitating the interoperability of the spatial datasets among the several involved institutions. In base of these requirements, the Spatial Data Infrastructures (SDI) in different thematic domains, are increasing. The INSPIRE European Directive is providing a framework with several technological recommendations to avoid the problems of datasets integration from several sources. The SDIs include spatial datasets, user requirements, and access system by internet, norms and politics with the aim to facilitate the integration of several sources of spatial datasets. To reach the effective integration of spatial datasets, these should be characterized to allow the development of interoperable and efficient query services.The research strategy was designed to reach the following specific objectives: (i) to identify the barriers, both technological and others, that are avoiding an effective integration of several dataset within a regional thematic SDI about agriculture and water in the Murcia Region (IDEarM); (ii) to characterize the available datasets for both thematic (agriculture and water); to design a model dataset about these topics; (iv) to analyze the relevant components of interoperability tools for facilitating the implementation of INSPIRE European Directive; and finally (v) to develop the implementation of IDEarM as a tool to support the decision-taking process to characterize the citrus crops in the Campo of Cartagena area and the monitoring of water quality and bathymetry in the Mar Menor, the management of geographical information resources and the implementation of associated services with the integration of datasets considering the technological, institutional, political, legal an...

Configuración y especificaciones de un dron para viticultura de precisión

“…Each Landsat 8 image received is processed to generate the following products covering Murcia (Fig. 3): radiance, reflectance, NDVI, land surface temperature-LST (B10 and B11), soil-adjusted vegetation index-SAVI, leaf area index-LAI, and air temperature-AT [8]. The description of the processing system and products is available on the website http://idearm.imida.es/.…”