scispace - formally typeset
F

Frank O. Ostermann

Researcher at University of Twente

Publications -  62
Citations -  1482

Frank O. Ostermann is an academic researcher from University of Twente. The author has contributed to research in topics: Volunteered geographic information & Geospatial analysis. The author has an hindex of 15, co-authored 61 publications receiving 1184 citations. Previous affiliations of Frank O. Ostermann include ITC Enschede & University of Zurich.

Papers
More filters
Journal ArticleDOI

Modelling with stakeholders - Next generation

TL;DR: Modelling with Stakeholders is updated and builds on Voinov and Bousquet, 2010, and structured mechanisms to examine and account for human biases and beliefs in participatory modelling are suggested.
Journal ArticleDOI

Automatic identification of eyewitness messages on twitter during disasters

TL;DR: This work investigates different types of sources on tweets related to eyewitnesses and classifies them into three types, observing that words related to perceptual senses tend to be present in direct eyewitness messages, whereas emotions, thoughts, and prayers are more common in indirect witnesses.
Journal ArticleDOI

Digital Earth from vision to practice: making sense of citizen-generated content

TL;DR: The results of a two-year research project exploring the extent to which it is possible to extract information useful for policy and science from the large volumes of messages and photos being posted daily through social networks indicate that six of eight major fires in France in the summer of 2011 were detected accurately.
Proceedings Article

A conceptual workflow for automatically assessing the quality of volunteered geographic information for crisis management

TL;DR: This paper aims to present a complete conceptual work flow for the assessment of user generated geographic content, or volunteered geographic information (VGI), for the use in a crisis management context.
Journal ArticleDOI

Citizen-based sensing of crisis events: sensor web enablement for volunteered geographic information

TL;DR: This paper extends previous efforts describing a workflow for VGI integration into SDI and further advance an initial set of VGI Sensing and event detection techniques, serving central building blocks for a Digital Earth's nervous system, which is required to develop the next generation of (geospatial) information infrastructures.