Abstract
Abstract. Geospatial data are fundamental to understand the relationship between the geographical events and the Earth dynamics. Although the geospatial technologies aid geodata collection, the increasing possibilities yield new application areas and cause even a greater demand. Considering the increment in data quantity and diversity, to be able to work with the data, they must be collected, stored, analysed and presented with the help of specifically designed platforms. Geographical Information Systems (GIS) with mobile and web support are the most suitable platforms for these purposes. On the other hand, the location-enabled mobile, web and geospatial technologies empowered the rise of the citizen science (CitSci) projects. With the CitSci, mobile GIS platforms enable the data to be collected from almost any location. As the size of the collected data increases, considering automatic control of the data quality has become a necessity. Integrating artificial intelligence (AI) with the CitSci based GIS designs allows automatic quality control of the data and helps eliminating data validation problem in CitSci. For this reason, the purpose of the present study is to develop a CitSci and AI supported GIS platform for landslide data collection because landslide hazard mitigation efforts require landslide susceptibility, hazard and risk assessments. Especially, landslide hazard assessments are necessary the time of occurrence of a landslide. Although this information is crucial, it is almost impossible to collect time of occurrence in regional hazard assessment efforts. Consequently, use of CitSci for this purpose may provide valuable information for landslide hazard assessments.
Highlights
Natural hazards are observed throughout the world
Geographical Information Systems (GIS), which can be defined as “Organized activity by which people measure and represent geographic phenomena transform these representations into other forms while interacting with social structures” (Chrisman, 1999), are the most appropriate platforms for this purpose
The developed web application and the technologies used in this study addresses all these questions
Summary
Natural hazards are observed throughout the world. As stated by Cutter et al (2015), the yearly economic losses from geophysical, hydro-meteorological and climatological events could exceed US$300 billion by 2030 worldwide; and more lives and assets can be under risk due to climate change, globalization, technological change, urbanization and political and economic instability. To understand the Earth dynamics and related spatial events, geospatial data has crucial importance. In order to facilitate interdisciplinary work, geospatial data must be obtained first; and stored, analysed and presented on a suitable platform. A GIS design must cover the proper data collection approaches, spatial analysis methods for conversions and interpretation, and the most suitable presentation approaches for sound and vibrant interaction with the social structures. 2.1 CitSci Platforms Apps for Natural Hazards. CitSci based apps enable the data to be collected where the natural hazard occurred. Many studies have been carried out with the aim of using CitSci platforms in natural hazards. For example; De Longueville et al (2010) developed a workflow with the aim of validation VGI data in natural hazards with an example from U.K floods. The purpose of the project was supporting decision makers with the real-time flood situations obtained from the social media
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