Science

Citing PyWPS

If you wish to cite PyWPS in your work please use this recent article:

de Sousa, L. M., de Jesus, J. M., Čepicky, J., Kralidis, A. T., Huard, D., Ehbrecht, C., Barreto, S. & Eberle, J. (2019). PyWPS: overview, new features in version 4 and existing implementations. Open Geospatial Data, Software and Standards, 4(1), 13. doi:https://doi.org/10.1186/s40965-019-0072-0

Previous reference publications on PyWPS:

Čepický, J. and de Sousa, L. M. (2016). “New implementation of OGC Web Processing Service in Python programming language. PyWPS-4 and issues we are facing with processing of large raster data using OGC WPS”. ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLI-B7:927–930. doi:10.5194/isprs-archives-XLI-B7-927-2016
Cepicky, J., & Becchi, L. (2007). “Geospatial processing via Internet on remote servers-PyWPS.” OSGeo Journal, 1(5), 11-17.

PyWPS in Scientific production

PyWPS has been used in many research projects. The following list gathers a sample of articles reporting on research where PyWPS had a role.

2019

Rapiński, J., Bednarczyk, M., & Zinkiewicz, D. (2019). JupyTEP IDE as an Online Tool for Earth Observation Data Processing. Remote Sensing, 11(17).
van Hoek, M., Zhou, J., Jia, L., Lu, J., Zheng, C., Hu, G., & Menenti, M. (2019). A prototype web-based analysis platform for drought monitoring and early warning. International Journal of Digital Earth, 1-15.

2018

Hempelmann, N., Ehbrecht, C., Alvarez-Castro, C., Brockmann, P., Falk, W., Hoffmann, J., … & Vautard, R. (2018). Web processing service for climate impact and extreme weather event analyses. Flyingpigeon (Version 1.0). Computers & Geosciences, 110, 65-72.
Herle, S., & Blankenbach, J. (2018). Enhancing the OGC WPS interface with GeoPipes support for real-time geoprocessing. International Journal of Digital Earth, 11(1), 48-63.
Hempelmann, N. et al. (2018). “Web processing service for climate impact and extreme weather event analyses. Flyingpigeon (Version 1.0)” Computers & Geosciences 110:65-72

2017

Landa, M. et al. (2017). “Building a complete free and open source GIS infrastructure for hydrological computing and data publication using GIS.LAB and GISQUICK plantforms” The International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences. Gottingen Vol. XLII-4/W2, : 101-105. Gottingen: Copernicus GmbH.

2016

Eberle, Jonas, et al. (2016). “Multi-Source Data Integration and Analysis for Land Monitoring in Siberia.” Novel Methods for Monitoring and Managing Land and Water Resources in Siberia. Springer International Publishing, 471-487.
Erlich,Marc, Christophe Coulet, and Arnaud De Groof (2016). “Towards improved management of coastal submersion crises–CRISMA-WAVE solution as an example of CRISMA Framework application.” E3S Web of Conferences. Vol. 3. EDP Sciences.
Giuliani G., Lacroix P., Guigoz Y., Roncella R., Bigagli L., Santoro M., Mazzetti P., Nativi S., Ray N., Lehmann A. (2016). “Bringing GEOSS services into practice: a capacity building resource on spatial data infrastructures (SDI).” Transactions in GIS.
Kadygrov, Nikolay, et al. (2016). “Implementation of Web Processing Services (WPS) over IPSL Earth System Grid Federation (ESGF) node.” EGU General Assembly Conference Abstracts. Vol. 18.
Lacroix P., Guigoz Y., Rouholahnejad E., Ray N., Giuliani G. (2016). “SCOPED-W: Scalable Online Platform for extracting Environmental Data and Water-related model outputs.” Transactions in GIS.
Lee, Seongkyu (2016). “Development of OGC WPS-based Climate Data Visualization Service Using PyWPS and Matplotlib.” In Proceedings of Free and Open Source Software for Geospatial (FOSS4G) BONN 2016, WCCB, BONN, Germany.

2015

Astsatryan, H., Hayrapetyan, A., Narsisian, W., Saribekyan, A., Asmaryan, S., Saghatelyan, A., et. al & Ray, N. (2015). “An interoperable web portal for parallel geoprocessing of satellite image vegetation indices.” Earth Science Informatics, 8(2), 453-460.
Astsatryan, H., Narsisian, W., Asmaryan, S., Saghatelyan, A., Muradyan, V., Giuliani, G., & Ray, N. (2015). “An interoperable cloud-based scientific GATEWAY for NDVI time series analysis.” Computer Standards & Interfaces, 41, 79-84.

2014

Mair, M., Mikovits, C., Sengthaler, M., Schöpf, M., Kinzel, H., Urich, C., et al. (2014). “The application of a Web-geographic information system for improving urban water cycle modelling.” Water Science and Technology, 70(11), 1838-1846.
Kumar, Kavisha, and Sameer Saran. (2014). “Web based geoprocessing tool for coverage data handling.” The International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences 40(8): 1139.
Reuter, H. I., & Hengl, T. (2014). “Worldgrids—a public repository of global soil covariates.” Computing Ethics: A Multicultural Approach, 287. http://worldgrids.org

2013

Dubois, Grégoire, et al. (2013). “eHabitat, a multi-purpose Web Processing Service for ecological modeling.” Environmental Modelling & Software 41:123-133
Giuliani G., Rahman K., Ray N., Lehmann A. (2013). “OWS4SWAT: Publishing and Sharing SWAT Outputs with OGC standards.” International Journal of Advanced Computer Science and Applications EnviroGRIDS Special Issue on “Building a Regional Observation System in the Black Sea Catchment”:90-98.
Mihon, D., Colceriu, V., Bacu, V., Rodila, D., Gorgan, D., Allenbach, K., & Giuliani, G. (2013). “OGC compliant services for remote sensing processing over the grid infrastructure.” International Journal of Advanced Computer Science and Applications, 3(3), 32-40.

2012

Casadei, S., Bellezza, M., Casagrande, L., & Pierleoni, A. (2012). “A WEB-GIS platform for water resource management.” Proceedings in ARSA-Advanced Research in Scientific Areas, (1).
de Jesus, Jorge, et al. (2012) “WPS orchestration using the Taverna workbench: The eScience approach.” Computers & Geosciences 47 : 75-86.
Giuliani G., Nativi S., Lehmann A., Ray N. (2012). “WPS mediation: an approach to process geospatial data on different computing backends.” Computers and Geosciences 47:20-33.
Goodall, J. L., et al. (2012). “Application of the Open Geospatial Consortium (OGC) Web Processing Service (WPS) Standard for Exposing Water Models as Web Services.” AGU Fall Meeting Abstracts. Vol. 1.
Lindquist, E. J., et al. (2012). “Improving Access, Utility and Analyses of FAO Forestry Statistics via Geographic Web-based Services.” IEEE Earthzine 5.2 378146.
Vitolo, C., Buytaert, W. O. U. T. E. R., & Reusser, D. (2012). “Hydrological Models as Web Services: An Implementation Using OGC Standards.” In Proceedings of the 10th International Conference on Hydroinformatics, HIC, Hamburg, Germany.
Vitolo, Claudia, et al. (2012). “Cloud-enabled Web Applications for Environmental Modelling.” AGU Fall Meeting Abstracts. Vol. 1.

2011

Bielski, C. , Gentilini, S., Pappalardo M. (2011). “Post-Disaster Image Processing for Damage Analysis Using GENESI-DR, WPS and Grid Computing.” Remote Sensing 3(6), 1234-1250; doi:10.3390/rs3061234

2010-2007

Kang, L., Wu, Q., & Yuan, Y. (2010). “A distributed LIDAR processing model based on OWS and BPEL.” In Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International (pp. 3628-3631). IEEE.
Marchesini, I., Tonelli, G., Balducci, V., Rossi, M., & Guzzetti, F. (2010). “A Spatial Data Infrastructure for Landslides and Floods in Italy.” In EGU General Assembly Conference Abstracts (Vol. 12, p. 5861).
Schwartze, C. (2009). “Deriving hydrological response units (HRUs) using a web processing service implementation based on GRASS GIS.” Geoinformatics FCE CTU, 3, 67-78.
Ninsawat, S., Raghavan, V., Masumoto, S., & Chemin, Y. (2007). “WebProcessing Service for Spatial Analysis using PyWPS and GRASS GIS.” International Journal of Geoinformatics, 3(4), 19-25.
Bivand, R. (2007). “Using the R-GRASS interface.” OSGeo Journal, 1, 36-38.