Mobile and web-based application as a tool for flood data collection based on citizen science.
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| Title: | Mobile and web-based application as a tool for flood data collection based on citizen science. |
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| Authors: | Sulistyo, Totok, Kusumayudha, Sari Bahagiarti, Cahyadi, Tedy Agung, Fajar, Reza Adhi |
| Source: | Earth Science Informatics; Feb2025, Vol. 18 Issue 2, p1-14, 14p |
| Abstract: | Flood models and simulations need quantitative hydrologic data. Recent research has proven that applying the citizen science method in flood data collection can be performed faster in more extensive areas using volunteers as human sensors based on social media platforms. Social media platforms provide unstructured and primarily qualitative data such as comments, images, and captions. Although qualitative data, such as flood images and words in comments and captions, can be quantified, additional effort and procedures are needed, and the accuracy and precision of these data still need to be determined. This research aimed to develop a dedicated Android application based on the citizen science method for conducting flood surveys. The development method adopted the modified design thinking (MDT) procedure as the developer is the application’s primary user, and then the empathizing stage is modified to the understanding stage. The resulting Android application is tested for direct measurement in several river catchment areas (RCAs). Compared with citizen science survey data collected from field measurements, flood data obtained from field measurements have several advantages because of the use of social media images and volumetric calculations via the satellite-based citizen science method. The benefit of this approach is that the data in the structured database table can be effectively displayed and queried in web geographical information systems GISs as flood monitoring media. Data can also be downloaded in comma-separated values (CSV) files and further processed in desktop GISs for other purposes. The last measurement results by 97 volunteers reached 212 rows of flood data. [ABSTRACT FROM AUTHOR] |
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| Database: | Complementary Index |
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