Filling the gap between Earth observation and policy making in the Black Sea catchment with enviroGRIDS

Lehmann, Anthony; Giuliani, Gaston; Mancosu, Emanuele; Abbaspour, Karim C.; Sözen, Seval; Gorgan, Dorian; Beel, A.

doi:10.1016/j.envsci.2014.02.005

Cited by 21 publications

(15 citation statements)

References 25 publications

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“…The main objectives of the enviroGRIDS project are to study and search solutions for improvement of the sustainable development of environment and adequate resource management in the Black Sea catchment region [14]. Moreover the evolution of the complex environmental systems is analyzed in the context of land cover, demographic, industrial, and climate changes.…”

Section: Bsc-os Portalmentioning

confidence: 99%

Spatial data processing on high performance computation architectures

Gorgan

2014

Proceedings of the 7th Euro American Conference on Telematics and Information Systems

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Spatial data models are complex and huge for large geographical area and high resolution. The management, the processing, and the visualization of such extensive models require high performance computation architectures, heterogeneous software platforms, and new methodologies for development and execution of Earth Science applications. The presentation highlights these challenges by exemplifying the gSWAT, GreenLand, and eGLE applications, developed through the enviroGRIDS project, and available in the BSC-OS Portal. It is presented as well the work of other related research projects such as the BIGEARTH project on spatial big data analysis and processing.

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Section: Bsc-os Portalmentioning

confidence: 99%

Spatial data processing on high performance computation architectures

Gorgan

2014

Proceedings of the 7th Euro American Conference on Telematics and Information Systems

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“…A number of efforts have taken advantage of improved computing power to use and build software that can inform decisions. For example, prioritization software guides the investment in multimillion dollar watershed conservation schemes, Google Earth Engine and hydroecological modeling is informing green growth strategies in Myanmar, supercomputing capacity has identified possible thresholds in ecosystem behavior for understanding the impacts of different patterns of agricultural expansion, and many similar efforts are incorporating massive data sets on large networks and analytical platforms …”

Section: Introductionmentioning

confidence: 99%

Ecosystem service information to benefit sustainability standards for commodity supply chains

Chaplin‐Kramer

Jonell

Guerry

et al. 2015

Annals of the New York Academy of Sciences

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The growing base of information about ecosystem services generated by ecologists, economists, and other scientists could improve the implementation, monitoring, and evaluation of commodity-sourcing standards being adopted by corporations to mitigate risk in their supply chains and achieve sustainability goals. This review examines various ways that information about ecosystem services could facilitate compliance with and auditing of commodity-sourcing standards. We also identify gaps in the current state of knowledge on the ecological effectiveness of sustainability standards and demonstrate how ecosystem-service information could complement existing monitoring efforts to build credible evidence. This paper is a call to the ecosystem-service scientists to engage in this decision context and tailor the information they are generating to the needs of the standards community, which we argue would offer greater efficiency of standards implementation for producers and enhanced effectiveness for standard scheme owners and corporations, and should thus lead to more sustainable outcomes for people and nature.

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“…One example of rising to the challenge of data sharing is the enviroGRIDS project [31], which predicts land-use change in the Black Sea catchment [32], and models its hydrology [33] to predict future water-resource vulnerabilities [34] and scarcity [35]. The datasets produced by the project are made freely available through a geoportal built with Geonode (Figure 3a) [36] that is based on a Spatial Data Infrastructure (SDI) using OGC standards (Figure 3b).…”

Section: Data Sharing In the Black Sea Catchmentmentioning

confidence: 99%

Lifting the Information Barriers to Address Sustainability Challenges with Data from Physical Geography and Earth Observation

et al. 2017

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Sustainability challenges demand solutions, and the pace of technological and scientific advances in physical geography and Earth observation have great potential to provide the information needed to address these challenges. This paper highlights five online tools and initiatives that are lifting barriers to address these challenges. The enviroGRIDS project in the Black Sea catchment demonstrates how the use of spatial data infrastructures can facilitate data sharing. Google Earth Engine is providing solutions to challenges of processing big data into usable information. Additionally, application programming interfaces allow outsiders to elaborate and iterate on programs to explore novel uses of data and models, as seen in the Berkeley Ecoinformatics Engine. Finally, collaborative mapping tools, such as Seasketch/MarineMap and the InVEST software suite, allow engagement within and between groups of experts and stakeholders for the development, deployment, and long-term impact of a project. Merging these different experiences can set a new standard for online information tools supporting sustainable development from evidence brought by physical geography combined with socioeconomic conditions.

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Filling the gap between Earth observation and policy making in the Black Sea catchment with enviroGRIDS

Cited by 21 publications

References 25 publications

Spatial data processing on high performance computation architectures

Spatial data processing on high performance computation architectures

Ecosystem service information to benefit sustainability standards for commodity supply chains

Lifting the Information Barriers to Address Sustainability Challenges with Data from Physical Geography and Earth Observation

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