Serverless Geospatial Data Processing Workflow System Design

Pakdil, Mete Ercan; Çeli̇k, Rahmi Nurhan

doi:10.3390/ijgi11010020

Cited by 8 publications

(4 citation statements)

References 24 publications

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“…Two recent developments from the OGC, namely the ‘OGC API Features’ and the ‘SensorThings API’ provide standard APIs to ensure synchronous access to spatial and observational data. Similarly, leveraging OGC API processes, this study (Pakdil and Çelik, 2021) explores a system design and architecture for handling complicated geographic data processing activities with minimum human interaction. Moreover, the widely used OpenAPI specification not only allows for standalone, portable and open API documentation, but it also integrates an effective testing environment.…”

Section: Discussionmentioning

confidence: 99%

Web-based nautical charts automated compilation from open hydrospatial data

et al. 2022

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Electronic navigational charts (ENCs) are specialised geospatial datasets, issued by or on the authority of a government or hydrographic office, in accordance with the International Hydrographic Organisation's (IHO) standards, specifications and symbol sets. The datasets generally comprise encoded information collected from hydrographic surveys, aimed primarily at the safety of navigation. Most ENCs are not openly available, since the encrypted datasets can be acquired through various license schemes via a centralised distribution network coordinated by two organisations operating on behalf of the coastal states that produce them. This paper describes a methodology and an integrated system developed at the National Technical University of Athens Cartography Laboratory for the generation of web-based nautical charts utilising open data and free software. The system compiles nautical charts compliant with IHO's S-101 latest standard; using open hydrospatial data retrieved from marine spatial data infrastructures (MSDI) and other qualified volunteered geographic information (VGI) sources. Open-source geospatial libraries and web-map vector technologies are used to build the system components and software scripts developed to enable automated compilation. The study also discusses how the system can be improved further by leveraging web services for end-to-end process automation and satellite-derived bathymetry for accurate depiction of seabed topography in low-depth areas.

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Section: Discussionmentioning

confidence: 99%

Web-based nautical charts automated compilation from open hydrospatial data

et al. 2022

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“…This technical advancement is a substantial leap for the future, ushering in a new era of geographic analytical connection and cooperative problem-solving. Numerous studies, including [21][22][23], have demonstrated that cloud-based spatial data analysis can improve cooperation and collaboration.…”

Section: Cloud-based Gis Soarsmentioning

confidence: 99%

The Geospatial Crowd: Emerging Trends and Challenges in Crowdsourced Spatial Analytics

Alamri

2024

IJGI

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Crowdsourced spatial analytics is a rapidly developing field that involves collecting and analyzing geographical data, utilizing the collective power of human observation. This paper explores the field of spatial data analytics and crowdsourcing and how recently developed tools, cloud-based GIS, and artificial intelligence (AI) are being applied in this domain. This paper examines and discusses cutting-edge technologies and case studies in different fields of spatial data analytics and crowdsourcing used in a wide range of industries and government departments such as urban planning, health, transportation, and environmental sustainability. Furthermore, by understanding the concerns associated with data quality and data privacy, this paper explores the potential of crowdsourced data while also examining the related problems. This study analyzes the obstacles and challenges related to “geospatial crowdsourcing”, identifying significant limitations and predicting future trends intended to overcome the related challenges.

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“…For example, in the loess landslide warning system in Heifangtai terrace (Figure 4), data are processed, standard parameters are calculated for the multi-criteria warning model, and warning information is sent to different receivers based on thresholds and criteria [32]. Inspired based on the workflow of [44], we abstract the model-based application process as a directed acyclic graph (DAG). The data structure of the model application process is defined as shown in Figure 5.…”

Section: Early Warning Business Application Process Orchestrationmentioning

confidence: 99%

A Dynamic Management and Integration Framework for Models in Landslide Early Warning System

Liu

Deng

Tang

2023

IJGI

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The landslide early warning system (LEWS) relies on various models for data processing, prediction, forecasting, and warning level discrimination. The potential different programming implementations and dependencies of these models complicate the deployment and integration of LEWS. Moreover, the coupling between LEWS and models makes it hard to modify or replace models rapidly and dynamically according to changes in business requirements (such as updating the early warning business process, adjusting the model parameters, etc.). This paper proposes a framework for dynamic management and integration of models in LEWS by using WebAPIs and Docker to standardize model interfaces and facilitate model deployment, using Kubernetes and Istio to enable microservice architecture, dynamic scaling, and high availability of models, and using a model repository management system to manage and orchestrate model-related information and application processes. The results of applying this framework to a real LEWS demonstrate that our approach can support efficient deployment, management, and integration of models within the system. Furthermore, it provides a rapid and feasible implementation method for upgrading, expanding, and maintaining LEWS in response to changes in business requirements.

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Serverless Geospatial Data Processing Workflow System Design

Cited by 8 publications

References 24 publications

Web-based nautical charts automated compilation from open hydrospatial data

Web-based nautical charts automated compilation from open hydrospatial data

The Geospatial Crowd: Emerging Trends and Challenges in Crowdsourced Spatial Analytics

A Dynamic Management and Integration Framework for Models in Landslide Early Warning System

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