Possibilities of using raster data in client‐side web maps

Farkas, Gábor

doi:10.1111/tgis.12588

Cited by 10 publications

(7 citation statements)

References 10 publications

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“…Also enabling the browser to use the hardware acceleration of the machine it runs on is a quite recent development. (Farkas 2020;Yao et al 2018). A library to make those files accessible for web applications is geotiff.js (Schindler 2022).…”

Section: Applicationmentioning

confidence: 99%

Developing and Evaluating Simplified Tools for Image Processing in a Problem-Based Learning Environment for Earth Observation

Hodam

Rienow

Jürgens

2022

PFG

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Earth observation is an interdisciplinary field of application. This makes it ideal for supporting natural science education in schools. Understanding satellite data can enable students to see more than just “beautiful images”. They can gain insights into an exciting field of application of many natural- and computer science fundamentals. In recent years, interactive lessons have been produced by our working group. They address the prospects and challenges connected with the teaching of earth observation topics in schools. The principles upon which the lessons are built promote a problem-based style of learning combined with a low impact in extraneous cognitive load for the students. Advances in web technology have made it necessary for interactive lessons to be redesigned and rethought. Contemporary web technologies have been selected and combined into an application framework to fulfill the requirements of our design principles and put a greater emphasis on usability during the content creation process. To allow offline usage of the learning modules it was tested whether this can be achieved using strictly client-side image processing. This article shows that, based on the technology stack used, lessons can be created that enable pupils to analyze remote sensing data in a much-simplified way. Using those simplified methods, a classification with an overall accuracy of 78.66% was achieved. The comparison of another simplified classification using just threshold values resulted in up to 89% probability to predict the outcome of a professionally produced dataset, making the simplified methods applicable in real-world examples presented in problem-based teaching scenarios.

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Section: Applicationmentioning

confidence: 99%

Developing and Evaluating Simplified Tools for Image Processing in a Problem-Based Learning Environment for Earth Observation

Hodam

Rienow

Jürgens

2022

PFG

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“…Web-based geospatial analytics have recently faced with the need to bring the software to raster data (Kilsedar, 2020;Xu et al, 2019b). Advancements in client-side web technologies and the evolution of web standards (e.g., optimization of JS interpreters in the browsers, ES6 features, browser-based hardware acceleration) have propelled the migration of application logic and GIS functionality from server to client-side (Kulawiak et al, 2017;Farkas, 2019). Such client-oriented and browser-based raster processing approaches showcased their values in various areas of geosciences including watershed delineation (Sit et al, 2019), water quality simulation (Walker & Chapra, 2014), well forecasting (Sit et al, 2021), marine cadastre data analysis (Kulawiak et al, 2017), immersive flood monitoring , and the visualization of satellite imagery (Dufour, 2018).…”

Section: Introductionmentioning

confidence: 99%

Towards Progressive Geospatial Information Processing on Web Systems: A Case Study for Watershed Analysis in Iowa

Shahid¹,

Sermet²,

Demir³

2023

Preprint

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Geographic Information Systems (GIS) are available as stand-alone desktop applications as well as web platforms for vector- and raster-based geospatial data processing and visualization. While each approach offers certain advantages, limitations exist that motivate the development of hybrid systems that will increase the productivity of users for performing interactive data analytics using multidimensional gridded data. Web-based applications are platform-independent, however, require the internet to communicate with servers for data management and processing which raises issues for performance, data integrity, handling, and transfer of massive multidimensional raster data. On the other hand, stand-alone desktop applications can usually function without relying on the internet, however, they are platform-dependent, making distribution and maintenance of these systems difficult. This paper presents RasterJS, a hybrid client-side web library for geospatial data processing that is built on the Progressive Web Application (PWA) architecture to operate seamlessly in both Online and Offline modes. A packaged version of this system is also presented with the help of Web Bundles API for offline access and distribution. RasterJS entails the use of latest web technologies that are supported by modern web browsers, including Service Workers API, Cache API, IndexedDB API, Notifications API, Push API, and Web Workers API, in order to bring geospatial analytics capabilities to large-scale raster data for client-side processing. Each of these technologies acts as a component in the RasterJS to collectively provide a similar experience to users in both Online and Offline modes in terms of performing geospatial analysis activities such as flow direction calculation with hydro-conditioning, raindrop flow tracking, and watershed delineation. A large-scale case study is included in the study for watershed analysis to demonstrate the capabilities and limitations of the library. The framework further presents the potential to be utilized for other use cases that rely on raster processing, including land use, agriculture, soil erosion, transportation, and population studies.

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“…Developing methods to present land cover/land use (LC/-LU) time series in web-based visualizations provides value to cartographers Yu et al (2021). When offering earth observation (EO) data products such as raster and vector maps in web-based visualizations, it is essential to maintain readable, intuitive, and aesthetically pleasing visualizations of the data Farkas (2020).…”

Section: Introductionmentioning

confidence: 99%

Testing approaches to visualize land cover/land use changes in time series with Web GIS microservice tools

Friend

Jahnke

Walen

et al. 2021

Proc. Int. Cartogr. Assoc.

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Abstract. Web applications which are high functioning, efficient, and meet the performance demand of the client are essential in modern cartographic workflows. With more and more complex spatial data being integrated into web applications, such as time related features, it is essential to harmonize the means of data presentation so that the end product is aligned with the needs of the end-user. In this paper we present aWeb GIS application built as a microservice which displays various timeseries visualizations to the user to streamline intuitiveness and functionality. The prototype provides a solution which could help to understand various ways in which current web and spatial analysis methods can be combined to create visualizations that add value to existing spatial data for cartographic workflows.

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Possibilities of using raster data in client‐side web maps

Cited by 10 publications

References 10 publications

Developing and Evaluating Simplified Tools for Image Processing in a Problem-Based Learning Environment for Earth Observation

Developing and Evaluating Simplified Tools for Image Processing in a Problem-Based Learning Environment for Earth Observation

Towards Progressive Geospatial Information Processing on Web Systems: A Case Study for Watershed Analysis in Iowa

Testing approaches to visualize land cover/land use changes in time series with Web GIS microservice tools

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