Socio-Economic Benefits from the Use of Earth Observations

This report summarizes the outcomes of the discussion of the workshop on Socioeconomic Benefit from the use of Earth Observation workshop held at JRC from 11 to 13 July 2011.JRC.H.6-Spatial data infrastructure

Assessment of spatial data infrastructures

A Spatial Data Infrastructure (SDI) is an evolving concept, essentially consisting of policies, institutional arrangements, Geographical Information Systems (GISs), data bases, networks, Web services and portals to facilitate and coordinate the availability, exchange and sharing of geospatial data and services between stakeholders from different levels. This article aims to provide some information on the role and value of SDIs and their potential relationship with, and contribution to other geospatial and evidence-based tools and technologies within the South African planning context and system. For this, it provides a brief overview and comparison of the key characteristics of the SDIs in South Africa, China, Brazil, Australia and India. The article highlights some of the complexities and use of an SDI and the value of, and need for an SDI to support the spatial and land development planning envisaged in the Spatial Planning and Land Use Management Act (SPLUMA)

Research in geosciences policy

Various topics related to cases of difficult adaptation to global change are discussed. Topics include patterns in the ratification of global environmental treaties, the effects of global climate change on Southeast Asia, and global change and biodiversity loss

Supporting metropolitan Venice coastline climate adaptation. A multi-vulnerability and exposure assessment approach

Urban planning for adaptation to climate change privileges the construction of cognitive frameworks developed through the use of new spatial technologies and open-source databases. The significant and most highly innovative aspect concerns how resilience to CC under conditions of vulnerability and risk is defined, monitored and assessed. Based on these premises, this paper aims to explore a new methodology of climate vulnerability, exposure and risk analysis through multicriteria assessment techniques by activating a case study in the coastal municipality of Jesolo (Italy). Taking into consideration three main weather-climate impacts (Urban Flooding, Coastal Flooding and Urban Heat Island) the methodology searches for the best geo-referenced data that can best describe the recognizing impact of the cumulative impact condition through testing a GIS-based multi-attribute exploratory procedure. Intersectoral and multilevel vulnerability conditions at different spatial scales are configured. The analysis methodology continues using open source data (from Open Street Map) to construct local exposure information layers. Exposure combined with spatial vulnerability conditions allows the generation of multi-hazard mapping. Experimentation with multi-hazard climate-oriented spatial assessment can guide planning and public decision-making in new policy domains and target mitigation and adaptation actions in land planning, management and regulation practices. Finally, the proposed methodology can activate stakeholder engagement processes within municipalities to discuss the actual perceived risk and begin a collaborative journey with citizens to identify best practices and solutions to adopt in the areas indicated by the risk mapping

Remote sensing contributing to assess earthquake risk: from a literature review towards a roadmap

Remote sensing data and methods are widely deployed in order to contribute to the assessment of numerous components of earthquake risk. While for earthquake hazardrelated investigations, the use of remotely sensed data is an established methodological element with a long research tradition, earthquake vulnerability–centred assessments incorporating remote sensing data are increasing primarily in recent years. This goes along with a changing perspective of the scientific community which considers the assessment of vulnerability and its constituent elements as a pivotal part of a comprehensive risk analysis. Thereby, the availability of new sensors systems enables an appreciable share of remote sensing first. In this manner, a survey of the interdisciplinary conceptual literature dealing with the scientific perception of risk, hazard and vulnerability reveals the demand for a comprehensive description of earthquake hazards as well as an assessment of the present and future conditions of the elements exposed. A review of earthquake-related remote sensing literature, realized both in a qualitative and quantitative manner, shows the already existing and published manifold capabilities of remote sensing contributing to assess earthquake risk. These include earthquake hazard-related analysis such as detection and measurement of lineaments and surface deformations in pre- and post-event applications. Furthermore, pre-event seismic vulnerability–centred assessment of the built and natural environment and damage assessments for post-event applications are presented. Based on the review and the discussion of scientific trends and current research projects, first steps towards a roadmap for remote sensing are drawn, explicitly taking scientific, technical, multi- and transdisciplinary as well as political perspectives into account, which is intended to open possible future research activities

Factors impeding the development of Oman spatial data infrastructure

Spatial Data Infrastructure (SDI) is an innovative concept introduced more than twenty years ago to allow the sharing and reuse of geospatial data. The National Spatial Data Infrastructure (NSDI), an SDI expanded to the national level, is now widely considered as an essential basic infrastructure for a country in this information era. To date countries all over the world, irrespective of their size, economic strength, political stability and population size, have developed, developing or considering developing their own SDI. A number of developed countries had successfully developed an impressive operational SDI while others are still progressively developing theirs. Yet for other countries the SDI development still remains an innovative concept. Understandably, besides the political and economic factors, many interrelated technical and non-technical factors can affect the development of SDI, the complexity of which can increase with the increase in the level of jurisdictions involved in spatial data sharing. Oman was one of the countries that had taken up the early initiative but unfortunately all that was known of the initiative was some feasibility studies conducted by non-national institution. Therefore this research has attempted to investigate the factors impeding the SDI development of Oman as an effort to revive the initiative to develop an operational Oman SDI, seen as an integral infrastructure to Oman’s future development and an important component in disaster and environmental management. Through this study, it was found that SDI is about communications between SDI participants to share spatial data. Through the thorough review of the data gathered from interviews and questionnaires, this research methodology was supported by systematic inspection and analysis of the essential data. The main stumbling block to Oman’s effort in building the SDI is the non-technical factors, including the human aspects entailing the lack of knowledge and awareness of spatial data and use of GIS, lack of knowledge on SDI concept and SDI benefits, and also the lack of cooperation, collaboration and coordination among the participants. It can be concluded that the lack of knowledge and awareness make communication between SDI participants difficult, thus almost impossible for cooperation, collaboration and coordination. This had left Oman with no option but to leave the initiative as an innovative concept, are now identified to be given the highest priority to enable Oman to pave the way forward

Implementing GIS as a decision support tool for planning and managing development interventions

The aim of this study is to examine key implementation and managerial issues surrounding the use of a Geographic Information Systems (GIS) as a Decisions Support Tool (DST) for planning and managing development interventions. Ever since the emergence of GIS as a powerful analytical tool in almost all spheres of human endeavour, many organisations involved in development work have adopted its use. But the challenges of conceiving and implementing a GIS in ways that are more responsive to the problems that trigger its purchase remains a daunting task to many development organisations; even those with a wealth of experience in GIS. This is one of the motivating factors for this study. In this research, some relevant themes in GIS implementation and GIS management as a Spatial Decision Support System (SDSS) were examined in the literature review. A case study research strategy was used focusing on the experience of the Nelson Mandela Bay Municipality Enterprise GIS (EGIS). The study examined how the system is been ran and what other development organisations can learn from this experience. Data was collected and analysed using a mixed research methods approach. The findings show a good level of GIS acceptance among municipality staff. However, running the system is not hitch free. A couple of problems and challenges were identified on the field. It is recommended that the municipality like most development organisations seeking GIS solutions should put the user at the centre of every technical innovation in GIS as a DST

3D City Models and urban information: Current issues and perspectives

Considering sustainable development of cities implies investigating cities in a holistic way taking into account many interrelations between various urban or environmental issues. 3D city models are increasingly used in different cities and countries for an intended wide range of applications beyond mere visualization. Could these 3D City models be used to integrate urban and environmental knowledge? How could they be improved to fulfill such role? We believe that enriching the semantics of current 3D city models, would extend their functionality and usability; therefore, they could serve as integration platforms of the knowledge related to urban and environmental issues allowing a huge and significant improvement of city sustainable management and development. But which elements need to be added to 3D city models? What are the most efficient ways to realize such improvement / enrichment? How to evaluate the usability of these improved 3D city models? These were the questions tackled by the COST Action TU0801 “Semantic enrichment of 3D city models for sustainable urban development”. This book gathers various materials developed all along the four year of the Action and the significant breakthroughs