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Acties	Details Titel Potential of Twitter derived flood maps : comparing interpolation methods and assessing uncertainties Auteur T. Brouwer Plaats van uitgave Enschede Uitgever T. Brouwer Jaar van uitgave 2016 Pagina's 82 p. Illustraties fig. Materiaal dissertatie Digitaal document Annotatie Master thesis University of Twente, 2016Research performed at Deltares, Delft Onderwerp public involvement, floods, information exchange, information processing, data processing Beschrijving As a result of the increasing number of floods, caused by phenomena such as urbanization and climate change, there is an increasing demand for accurate and timely flood information. The objective of this research was to establish a preferred method of estimating flood extents from Twitter data and assess the uncertainties and applicability of the maps created using this method. To achieve this objective, the research included a comparison of different ways of applying interpolation to create flood maps from the Twitter data, an assessment of the uncertainty in flood extent and a variety of analyses to investigate in what context the Twitter derived flood maps can be applied. Therefore two case studies of recent floods in Jakarta (Indonesia) and York (United Kingdom) were evaluated. Verwijder uit selectie Voeg toe aan selectie

Titel
Potential of Twitter derived flood maps : comparing interpolation methods and assessing uncertainties
Auteur
T. Brouwer
Plaats van uitgave
Enschede
Uitgever
T. Brouwer
Jaar van uitgave
2016
Pagina's
82 p.
Illustraties
fig.
Materiaal
dissertatie
Digitaal document
Annotatie
Master thesis University of Twente, 2016Research performed at Deltares, Delft
Onderwerp
public involvement, floods, information exchange, information processing, data processing
Beschrijving
As a result of the increasing number of floods, caused by phenomena such as urbanization and climate change, there is an increasing demand for accurate and timely flood information. The objective of this research was to establish a preferred method of estimating flood extents from Twitter data and assess the uncertainties and applicability of the maps created using this method. To achieve this objective, the research included a comparison of different ways of applying interpolation to create flood maps from the Twitter data, an assessment of the uncertainty in flood extent and a variety of analyses to investigate in what context the Twitter derived flood maps can be applied. Therefore two case studies of recent floods in Jakarta (Indonesia) and York (United Kingdom) were evaluated.