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

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.

[1]  Geospatial and Grid Interoperability Through OGC Services Gridification , 2012, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[2]  Graziano Pesole,et al.  Towards global interoperability for supporting biodiversity research on essential biodiversity variables (EBVs) , 2015 .

[3]  Jennifer E. Rowley,et al.  The wisdom hierarchy: representations of the DIKW hierarchy , 2007, J. Inf. Sci..

[4]  Kevin Koy.  Berkeley Ecoinformatics Engine , 2015 .

[5]  Marina Fiedler,et al.  What are the main barriers to smart energy information systems diffusion? , 2015, Electron. Mark..

[6]  Stefano Nativi,et al.  Reviewing innovative Earth observation solutions for filling science-policy gaps in hydrology , 2014 .

[7]  Gregory Giuliani,et al.  The PREVIEW Global Risk Data Platform: a geoportal to serve and share global data on risk to natural hazards , 2011 .

[8]  Anthony Lehmann,et al.  Future land-use change scenarios for the Black Sea catchment , 2015 .

[9]  Fernando Veiga,et al.  One size does not fit all: Natural infrastructure investments within the Latin American Water Funds Partnership , 2016 .

[10]  Anthony Lehmann,et al.  Blue water scarcity in the Black Sea catchment: Identifying key actors in the water-ecosystem-energy-food nexus , 2016 .

[11]  F. M. Pouzols,et al.  Global protected area expansion is compromised by projected land-use and parochialism , 2014, Nature.

[12]  Gregory Giuliani,et al.  Building Regional Capacities for GEOSS and INSPIRE: a journey in the Black Sea Catchment , 2013 .

[13]  Debabrata Das,et al.  The 2030 Agenda for Sustainable Development: Where Does India Stand? , 2019, Journal of Rural Development.

[14]  Un Desa.  Transforming our world : The 2030 Agenda for Sustainable Development , 2016 .

[15]  Stefano Nativi,et al.  WPS mediation: An approach to process geospatial data on different computing backends , 2012, Comput. Geosci..

[16]  M. Samways,et al.  Provision of ecosystem services by large scale corridors and ecological networks , 2010, Biodiversity and Conservation.

[17]  David W. Cash,et al.  Knowledge systems for sustainable development , 2003, Proceedings of the National Academy of Sciences of the United States of America.

[18]  Dorian Gorgan,et al.  Conceptual model for environmental science applications on parallel and distributed infrastructures , 2015, Environmental Systems Research.

[19]  Gregory Verutes,et al.  Process matters: a framework for conducting decision-relevant assessments of ecosystem services , 2015 .

[20]  Anthony Lehmann,et al.  Climate change and agricultural water resources: A vulnerability assessment of the Black Sea catchment , 2015 .

[21]  Stefano Nativi,et al.  Earth Science Infrastructures Interoperability: The Brokering Approach , 2013, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[22]  Simon N. Stuart,et al.  Harnessing biodiversity and conservation knowledge products to track the Aichi Targets and Sustainable Development Goals , 2015 .

[23]  Denisa Rodila,et al.  Software Platform Interoperability Throughout EnviroGRIDS Portal , 2012, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[24]  Konstantinos Evangelidis,et al.  Geospatial services in the Cloud , 2014, Comput. Geosci..

[25]  Mara Paula Timofe,et al.  Barriers in the Implementation of Health Information Systems: A Scoping Review , 2013 .

[26]  Saeid Gorgin,et al.  A Review on Modern Distributed Computing Paradigms: Cloud Computing, Jungle Computing and Fog Computing , 2014, J. Comput. Inf. Technol..

[27]  Danièle Revel,et al.  Assessing ‘‘dangerous climate change’’: Required reduction of carbon emissions to protect young people, future generations and nature , 2013 .

[28]  Anthony M. Castronova,et al.  Models as web services using the Open Geospatial Consortium (OGC) Web Processing Service (WPS) standard , 2013, Environ. Model. Softw..

[29]  Gregory Giuliani,et al.  Sharing Environmental Data through GEOSS , 2011, Int. J. Appl. Geospat. Res..

[30]  Matthew S. Merrifield,et al.  MarineMap: A web-based platform for collaborative marine protected area planning , 2013 .

[31]  Forrest R. Stevens,et al.  Multitemporal settlement and population mapping from Landsat using Google Earth Engine , 2015, Int. J. Appl. Earth Obs. Geoinformation.

[32]  Amanda E. Cravens,et al.  Negotiation and Decision Making with Collaborative Software: How MarineMap ‘Changed the Game’ in California’s Marine Life Protected Act Initiative , 2016, Environmental Management.

[33]  Roberto Roncella,et al.  Bringing GEOSS Services into Practice: A Capacity Building Resource on Spatial Data Infrastructures (SDI) , 2017, Trans. GIS.

[34]  Omran A. Bukhres,et al.  NASA Global Change Master Directory: an implementation of asynchronous management protocol in a heterogeneous distributed environment , 2001, Proceedings 3rd International Symposium on Distributed Objects and Applications.

[35]  Eren Turak,et al.  Building a global observing system for biodiversity , 2012 .

[36]  G. Daily,et al.  Water funds and payments for ecosystem services: practice learns from theory and theory can learn from practice , 2012, Oryx.

[37]  Rafael Muñoz-Carpena,et al.  Wetland Landscape Spatio-Temporal Degradation Dynamics Using the New Google Earth Engine Cloud-Based Platform: Opportunities for Non-Specialists in Remote Sensing , 2016 .

[38]  Javier Nogueras-Iso,et al.  OGC Catalog Services: a key element for the development of Spatial Data Infrastructures , 2005, Comput. Geosci..

[39]  S. Carpenter,et al.  Planetary boundaries: Guiding human development on a changing planet , 2015, Science.

[40]  Anthony Lehmann,et al.  Water resources of the Black Sea Basin at high spatial and temporal resolution , 2014 .

[41]  G. Daily,et al.  Notes from the field: Lessons learned from using ecosystem service approaches to inform real-world decisions , 2015 .

[42]  Alexei Novikov,et al.  Exploring Google Earth Engine Platform for Big Data Processing: Classification of Multi-Temporal Satellite Imagery for Crop Mapping , 2017, Front. Earth Sci..

[43]  Nebojsa Nakicenovic,et al.  Policy: Five priorities for the UN Sustainable Development Goals , 2015, Nature.

[44]  Richard Stone,et al.  Remote sensing. Earth-observation summit endorses global data sharing. , 2010, Science.

[45]  N. Pettorelli,et al.  Essential Biodiversity Variables , 2013, Science.

[46]  Grégoire Dubois,et al.  eHabitat, a multi-purpose Web Processing Service for ecological modeling , 2013, Environ. Model. Softw..

[47]  Calvin J. Ribbens,et al.  Hybrid Computing - Where HPC meets grid and Cloud Computing , 2011, Future Gener. Comput. Syst..

[48]  Dorian Gorgan,et al.  Filling the gap between Earth observation and policy making in the Black Sea catchment with enviroGRIDS , 2015 .