Abstract
Environmental monitoring and evaluation (M&E) systems are indispensable tools for sustainable land management, especially in dry and fragile ecosystems. The reporting and dissemination of its products and indicators are the key roles to perform their missions. Furthermore, the overall success of such multilateral projects and networks depends on well-organized infrastructures for spatial data management. A spatial data infrastructure (SDI) is an efficient framework to centralize the management of spatial data and information related to multilateral projects for the best sharing and exchange between partners and stakeholders in order to ensure that they are interactively connected to use the data efficiently and in a flexible manner. This paper outlines the work undertaken in partnership between the Geography and GIS Department of the Faculty of Arts, King Abdulaziz University, Saudi Arabia Kingdom, the Geomatics, Earth and Land Settlement Branch of the Department of Geology, Faculty of Sciences of Tunis, Tunis El Manar University, Tunisia, and the Sahara and Sahel Observatory OSS which is an intergovernmental organization, in order to build a Spatial Data Infrastructure (SDI) for the ROSELT/OSS program (Long-Term Environmental Monitoring Observatories Network in the Circum-Sahara of the Sahara and Sahel Observatory). This SDI is entirely developed using Open Source technologies and the extensive suite of OGC (Open Geospatial Consortium) standards and specifications, to enable interoperability among and between its different components.
Highlights
Sustainable development requires access to data, information, knowledge and understanding about the environment and natural resources
We must consider available resources for collecting, managing, sharing and using geospatial data as a basis for sustainable development, the concept of Spatial Data Infrastructure (SDI) that puts an emphasis on partnership and coordination to deliver geographic information to decision-makers and public at large in an easy-to-use format
The environmental monitoring approach in ROSELT is based on a set of measurements and observations, and and repetitive acquisition of ecological data in the broadest sense, including socio-economic data interacting with the ecological data
Summary
Sustainable development requires access to data, information, knowledge and understanding about the environment and natural resources. We must consider available resources for collecting, managing, sharing and using geospatial data as a basis for sustainable development, the concept of Spatial Data Infrastructure (SDI) that puts an emphasis on partnership and coordination to deliver geographic information to decision-makers and public at large in an easy-to-use format This kind of application is increasingly necessary especially an inter-organizational environment which requires a high level of regional collaboration and in which all spatial data stakeholders (both users and producers) have to cooperate and utilize information and technologies in a cost-effective way. There, data collection and processing techniques are perfected with a view to develop reliable decision-support tools, such as maps, indicators and information systems that could be later used more widely in the circum-Saharan region [4]
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