Implementation of serverless cloud GIS platform for land valuation

Muhammed Oguzhan Mete*, Tahsin Yomralioglu

*Bu çalışma için yazışmadan sorumlu yazar

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22 Atıf (Scopus)


Cloud computing enables performing computations and analysis tasks and sharing services in web-based computer centres instead of local desktop systems. One of the most used areas of cloud computing is geographic information systems (GIS) applications. Although Desktop GIS products are still used in the community frequently, Web GIS and Cloud GIS applications have drawn attention and have become more efficient for users. In this study, a serverless Cloud GIS framework is implemented for the land valuation platform. In order to store, analyse, and share geospatial data, the Aurora Serverless PostgreSQL database is created on Amazon Web Services (AWS). While adopting Aurora Serverless PostgreSQL as a database management system, a simple point in polygon analysis conducted to compare the performances with Amazon Relational Database Service (RDS) instance. Results showed that the serverless database responded to the query faster and scaled up during high workload to decrease latency. Hence, parcel vector data, which conveys ownership information and land values attributes, is shared directly from the PostGIS database as vector tiles. Besides S3 and AWS Lambda services are used for storing and disseminating raster-based land value map tiles. To visualize all shared data and maps through a web browser, open source web mapping library Mapbox GL JS is used.

Orijinal dilİngilizce
Sayfa (başlangıç-bitiş)836-850
Sayfa sayısı15
DergiInternational Journal of Digital Earth
Basın numarası7
Yayın durumuYayınlandı - 2021

Bibliyografik not

Publisher Copyright:
© 2021 Informa UK Limited, trading as Taylor & Francis Group.


This work was supported by Scientific Research Projects Coordination Unit of Istanbul Teknik Üniversitesi [Grant No. MYL-2018-41706].

FinansörlerFinansör numarası
Istanbul Teknik ÜniversitesiMYL-2018-41706

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