Knowledge of the spatial distribution of biofuel crops is an important criterion to determine the sustainability of biofuel energy production. Remotely sensed image analysis is a proven and effective tool for describing the spatial distribution of crops using vegetation characteristics. Increases in the number of options and availability of satellite sensors have expanded the horizon of choices...

The aim of this study is to demonstrate the use of Pi-SAR (polarimetric and interferometric synthetic aperture radar) data for the extraction of different thematic information for urban planning and management. For this end, different relief topography related thematic information as well as a land cover map are generated from the Pi-SAR data. The thematic maps related to terrain topography are...

Mashup provides a way of forming new applications from existing Web content using APIs provided by different Web sites. Such a nature makes mashup a promising technology to deliver a Web-based Enterprise application with rich information of various themes, so called thematic mashup. However, the development of thematic mashup is ad-hoc and mostly from the scratch, which can be a barrier for Ent...

Purpose In this paper, the authors underpin thematic analysis with a philosophical and methodological dimension present nuanced perspective on application of in data-driven context. Thematic is widely used qualitative analytic method; it perceived as transparent approach that offers single meaning. However, through Husserlian descriptive phenomenology, paper aims to examine issues regarding sub...

The semantic analysis of documents is a domain of intense research at present. The works in this domain can take several directions and touch several levels of granularity. In the present work we are exactly interested in the thematic analysis of the textual documents. In our approach, we suggest studying the variation of the theme relevance within a text to identify the major theme and all the...