Neteler, Markus
Gebbert, Sören
Tawalika, Carmen
Bettge, Anika
Benelcadi, Hajar
Löw, Fabian
Adams, Till
Paulsen, Hinrich
2019-02-18
<p>Whether participatory urban planning, digital agriculture or near real-time monitoring of flooded plains – the demand for processing large quantities of Earth Observation (EO) and geodata is constantly increasing. In addition to the amount of data to be processed, the lack of compatibility between different data systems has often been an obstacle.<br>
The cloud based geoprocessing platform actinia is able to ingest and analyse large volumes of data already present in the cloud. Through actinia’s REST API, following the paradigm of computing next to the data, users can now process and analyse EO- and geodata. Due to the scalability of cloud platforms, insights and tailor made information are delivered in near real-time. Furthermore, methods and algorithms can be easily integrated into own business processes.</p>
<p>Actinia provides an open source REST API for scalable, distributed, and high performance processing of geographical data that mainly uses GRASS GIS for computational tasks.</p>
https://doi.org/10.5281/zenodo.2631917
oai:zenodo.org:2631917
P. Soille, S. Loekken, and S. Albani (Eds.)
https://doi.org/10.2760/848593
https://doi.org/10.5281/zenodo.1065474
https://doi.org/10.5281/zenodo.2631916
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
BiDS, 2019 Big Data from Space (BiDS'19), Munich (Germany), 19-21 February 2019
Earth Observation applications
GIS
cloud based processing
geospatial analysis
open source
GRASS GIS
REST API
Earth Observation
cloud services
Actinia: cloud based geoprocessing
info:eu-repo/semantics/conferencePaper