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Integration of WebODM Platform as Photogrammetry Cloud Processing and GeoNode as Corporate Spatial Data Infrastructure to Support the Acceleration of Geospatial Data Communication Flow in PT. Waskita Karya Tbk

This research explores the integration of two platforms, namely WebODM and GeoNode, with Geoserver as its connecting platform. This platform integration is a solution to support the acceleration of geospatial data communication flow in PT. Waskita Karya Tbk. The main objective of the research is to...

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Bibliographic Details
Published in:IOP conference series. Earth and environmental science 2024-12, Vol.1418 (1), p.12078
Main Authors: Yudha Wahyu Saputra, Galih, Amirrudin Ahmad, Ali, Lyhardo Sidabutar, Yosevel, Shelvira Herwieany, Agnes
Format: Article
Language:English
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Summary:This research explores the integration of two platforms, namely WebODM and GeoNode, with Geoserver as its connecting platform. This platform integration is a solution to support the acceleration of geospatial data communication flow in PT. Waskita Karya Tbk. The main objective of the research is to combine the advantages of Photogrammetry Cloud Processing owned by WebODM with the Spatial Data Infrastructure features owned by GeoNode, thus creating an efficient and integrated system for processing and storing geospatial data. The research methodology involves user needs analysis, system integration development, as well as testing and performance evaluation of the implemented system. The research results indicate that the integration of WebODM and GeoNode has successfully created an environment that allows users to easily perform cloud-based photogrammetry processes and efficiently store and share geospatial data. With this system, PT. Waskita Karya can improve its operational performance in terms of geospatial data processing and distribution, as well as accelerate communication flow between various involved units. The implication of this research is that platform integration like this can be an effective solution for companies managing geospatial data on a large scale.
ISSN:1755-1307
1755-1315
DOI:10.1088/1755-1315/1418/1/012078