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The purpose of this paper is to contribute to the definition of a European perspective on Digital Earth (DE), identify some actions that can contribute to raise the awareness of DE in the European context and thus strengthen the European contribution to the International Society for Digital Earth (ISDE). The paper identifies opportunities and synergies with the current policy priorities in Europe (Europe 2020, Innovation Union and Digital Agenda) and highlights a number of key areas to advance the development of DE from a European perspective: (1) integrating scientific research into DE; (2) exploiting the Observation Web with human-centred sensing; and (3) governance, including the establishment of stronger linkages across the European landscape of funding streams and initiatives. The paper is offered also as a contribution to the development of this new vision of DE to be presented at the next International DE Conference in Perth, Australia, in August 2011. The global recognition of this new vision will then reinforce the European component and build a positive feedback loop for the further implementation of DE across the globe. [ABSTRACT FROM AUTHOR]

The understanding that mankind should reasonably exploit and utilize earth resources and effectively protect the planet on which we live, is now widely accepted. However, effective actions can only be conducted if we better understand and visualize the earth. To meet this need, digital earth science and technology have been put forward and developed. This paper introduces the evolution and development process of digital earth, and presents an overview by reviewing and analyzing the 1999 and 2009 Beijing Declaration on Digital Earth, the scientific and commercial digital earth systems, global and regional digital earth research, and some existing platforms of digital earth science. It also presents some thoughts about digital earth's future development. [ABSTRACT FROM AUTHOR]

This paper presents a technique for the assessment and mapping of land biodiversity by using remote sensing data. The proposed approach uses a fuzzy model that encapsulates different ecological factors influencing biodiversity. We implemented our approach as a web service for the Pre-Black Sea region of the Ukraine. [ABSTRACT FROM AUTHOR]