2. INTRODUCTION
▪ Self-Presentation
▪ What is a Geoportal?
▪ Interoperability and Standards
▪ Languages, Libraries and Platforms
▪ Cloud Data (Esri)
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4. INTEROPERABILITY
Geoportal
Interoperability
Standards
Platforms
Geodatabase
Languages
Libraries
Cloud Data
Cloud Services
ESRI cloud
Interoperability
▪ Ability of diverse data sources, systems and
organizations to work together
▪Ease information sharing
▪Promote information reuse
▪Reduce duplication of effort
▪Imporve quality of decisions
▪Flexibility to add new capabilities
▪Vendor neutral
▪ Saves time, reduces cost, increases market choice,
protects assets and lives
▪ Requirements: Common communication infrastructure
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Source: Sondheim et. al 1997
5. INTEROPERABILITY
Geoportal
Interoperability
Standards
Platforms
Geodatabase
Languages
Libraries
Cloud Data
Cloud Services
ESRI cloud
Interoperability
▪ Ability of diverse data sources, systems and
organizations to work together
▪Ease information sharing
▪Promote information reuse
▪Reduce duplication of effort
▪Imporve quality of decisions
▪Flexibility to add new capabilities
▪Vendor neutral
▪ Saves time, reduces cost, increases market choice,
protects assets and lives
▪ Requirements: Common communication infrastructure
WEB PORTAL (GIS) 9
Source: Sondheim et. al 1997
20. CLOUDS IN THE FIELD OF GIS
Geoportal
Interoperability
Standards
Platforms
Geodatabase
Languages
Libraries
Cloud Data
Cloud Services
ESRI cloud
Cloud Services
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AMAZON WEB
SERVICES
GOOGLE APP
ENGINE
ESRI CLOUD QGIS CLOUD
25. ESRI CLOUD – UAS APPLICATIONS
Geoportal
Interoperability
Standards
Platforms
Geodatabase
Languages
Libraries
Cloud Data
Cloud Services
ESRI cloudEsri Cloud
WEB PORTAL (GIS) 29
▪ Drone2Map
− Interoperability
through ESRI Cloud
▪ 3D imagery
− 3D textured meshes
− 3D point clouds
▪ 2D imagery
− Orthomosaics
− Elevation products
https://www.esri.com/en-us/arcgis/products/drone2map/overview
26. CONCLUSION
WEB PORTAL (GIS) 30
GEOPORTAL INTEROPERABILITY
AND STANDARDS
CLOUD PLATFORMS,
DATABASES AND
LIBRARIES
27. REFERENCES
Bećirspahić, Lejla, and Almir Karabegović. 2015. “Web Portals for Visualizing and
Searching Spatial Data.” 2015 38th International Convention on Information and
Communication Technology, Electronics and Microelectronics, MIPRO 2015 -
Proceedings (May 2015): 305–11.
Dasgupta and Arup. “The Continuum: Big Data, Cloud Internet of Things.”
In:Geospatial World(2019).[2]
Dr. Nedhal A. Al-Saiyd. 2015. “A Strategic Framework of GIS Web Applications:
Structure and Contents”. In International Journal of Computer Applications in
Technology 6(4):571-582
H. Guo, L. Wang, and D. Liang. “Big Earth Data from Space: A new Engine
forEarth Science”. In:Science Bulletin(2016).
Jiang et al. “Current st atus and future directions of geoportals”.
In:InternationalJournal of Digital
Earth(2019).DOI:10.1080/17538947.2019.1603331.URL:https://doi.org/10.1080/17
538947.2019.1603331.
WEB PORTAL (GIS) 31
28. REFERENCES
Kulkarni, Gurudatt, Prasad Khatawkar, and Jayant Gambhir. 2014. “Cloud
Computing-Platform as Service.” (December 2011).
Louis C., Rose. 2004. “Geospatial Portal Reference Architecture A Community
Guide to Implementing Standards-Based Geospatial Portals.” Portal: 23.
M SONDHEIM, K GARDELS, AND K BUEHLER (1997.): GIS Interoperability.
Online:
http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.464.7280&rep=rep
1&type=pdf. (last downloaded: 29.04.2020)
OGC (2004): Geospatial Portal Reference Architecture. A Community Guide to
Implementing Standards-Based Geospatial Portals
Rani, Dimpi, and Rajiv Kumar Ranjan. 2014. “A Comparative Study of SaaS ,
PaaS and IaaS in Cloud Computing.” International Journal of Advanced
Research in Computer Science and Software Engineering 4(6): 458–61.
WEB PORTAL (GIS) 32
29. REFERENCES
Patrick A. Curry and Nils Moosdorf. 2019. “An open source web application for distributed
geospatial data exploration”. In SCIENTIFIC DATA. 6:190014.
https://doi.org/10.1038/sdata.2019.14
She, Bing, Tao Hu, Xinyan Zhu, and Shuming Bao. 2019. “Bridging Open Source Tools and
Geoportals for Interactive Spatial Data Analytics.” Geo-Spatial Information Science 22(3):
185–92. https://doi.org/10.1080/10095020.2019.1645497.
Sowmya, S K, P Deepika, and J Naren. 2014. “Layers of Cloud – IaaS, PaaS and SaaS: A
Survey.” (June): 1–5.
Varia, Jinesh, and Sajee Mathew. 2014. “Overview of Amazon Web Services (Survey
Report).” (January): 1–30. http://media.amazonwebservices.com/AWS_Overvi ew.pdf.
Wagemann, J., Clements, O., Figuera R.M., Rossi A.P., Mantovani, S. (2018): Geospatial
web services pave new ways for server-based on-demand access and processing of Big
Earth Data. International Journal of Digial Earth, DOI:
https://doi.org/10.1080/17538947.2017.1351583
WEB PORTAL (GIS) 33
30. REFERENCES
Yang, Chaowei et al. 2013. “ArcGIS in the Cloud.” Spatial Cloud Computing: 111–24.
Online references:
https://www.esri.com/en-us/arcgis/products/arcgis-data-interoperability/overview , last
accessed on: 29/04/2020
https://www.esri.com/en-us/arcgis/products/drone2map/overview, last accessed on:
28/04/2020
https://www.geoplatform.gov/wp-content/uploads/2019/01/ESRI-Factsheet.pdf, last
accessed on: 28/04/2020
https://www.esri.com/en-us/arcgis/services/managed-cloud, last accessed on:
28/04/2020
https://www.esri.com/news/arcnews/summer11articles/why-use-cloud-infrastructure-for-
arcgis.html, last accessed on: 27/04/2020
https://www.esri.com/en-us/arcgis/products/drone2map/overview, last accessed on:
29/04/2020
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31. THANK YOU FOR YOUR ATTENTION!
FINISHED!
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