TY  - JOUR
A1  - Klonner, Carolin
A1  - Hartmann, Maximilian
A1  - Dischl, Rebecca
A1  - Djami, Lily
A1  - Anderson, Liana
A1  - Raifer, Martin
A1  - Lima-Silva, Fernanda
A1  - Castro Degrossi, Lívia
A1  - Zipf, Alexander
A1  - Albuquerque, João Porto de
T1  - The sketch map tool facilitates the assessment of OpenStreetMap data for participatory mapping
T2  - ISPRS International Journal of Geo-Information
N2  - A worldwide increase in the number of people and areas affected by disasters has led to more and more approaches that focus on the integration of local knowledge into disaster risk reduction processes. The research at hand shows a method for formalizing this local knowledge via sketch maps in the context of flooding. The Sketch Map Tool enables not only the visualization of this local knowledge and analyses of OpenStreetMap data quality but also the communication of the results of these analyses in an understandable way. Since the tool will be open-source and several analyses are made automatically, the tool also offers a method for local governments in areas where historic data or financial means for flood mitigation are limited. Example analyses for two cities in Brazil show the functionalities of the tool and allow the evaluation of its applicability. Results depict that the fitness-for-purpose analysis of the OpenStreetMap data reveals promising results to identify whether the sketch map approach can be used in a certain area or if citizens might have problems with marking their flood experiences. In this way, an intrinsic quality analysis is incorporated into a participatory mapping approach. Additionally, different paper formats offered for printing enable not only individual mapping but also group mapping. Future work will focus on advancing the automation of all steps of the tool to allow members of local governments without specific technical knowledge to apply the Sketch Map Tool for their own study areas.
KW  - OpenStreetMap quality evaluation
KW  - field papers
KW  - field mapping
KW  - disaster risk management
KW  - flood risk perception
KW  - flooding
Y1  - 2021
UR  - http://publikationen.ub.uni-frankfurt.de/frontdoor/index/index/docId/62146
UR  - https://nbn-resolving.org/urn:nbn:de:hebis:30:3-621465
SN  - 2220-9964
N1  - This article is part of the project T2S Waterproofing Data which is financially supported by the Belmont Forum and NORFACE Joint Research Programme on Transformations to Sustainability (https://www.norface.net/program/transformations-to-sustainability/ accessed on 11 November 2020), co-funded by DLR/BMBF (Federal Ministry of Education and Research) as part of its Social- Ecological Research funding priority, ESRC/Global Challenges Research Fund (ES/S006982/1), FAPESP and the European Commission through Horizon 2020. Responsibility for the content of this publication lies with the authors. Fernanda Lima Silva thanks the São Paulo State Research Support Foundation (FAPESP) for the postdoctoral scholarship (project number 2019/06616-0). Lívia Castro Degrossi gratefully acknowledges the funding by the UK Research and Innovation through the GCRF Global Research Translation Award (EPSRC grant: EP/T015683/1). Liana Anderson thanks the National Council for Scientific and Technological Development (CNPq), Brazil, for the Productivity scholarship (process: 314473/2020-3).
VL  - 10
IS  - 3, art. 130
SP  - 1
EP  - 17
PB  - MDPI
CY  - Basel
ER  -