Coastal marine data crowdsourcing using the Internet of Floating Things: Improving the results of a water quality model

n/

Earth Observation Open Science and Innovation

geospatial analytics; social observatory; big earth data; open data; citizen science; open innovation; earth system science; crowdsourced geospatial data; citizen science; science in society; data scienc

Using GPGPU accelerated interpolation algorithms for marine bathymetry processing with on-premises and cloud based computational resources

Data crowdsourcing is one of most remarkable results of pervasive and internet connected low-power devices making diverse and different â\u80\u9cthingsâ\u80\u9d as a world wide distributed system. This paper is focused on a vertical application of GPGPU virtualization software exploitation targeted on high performance geographical data interpolation. We present an innovative implementation of the Inverse Distance Weight (IDW) interpolation algorithm leveraging on CUDA GPGPUs. We perform tests in both physical and virtualized environments in order to demonstrate the potential scalability in production. We present an use case related to high resolution bathymetry interpolation in a crowdsource data context