Next Article in Journal
Hybrid Camera Array-Based UAV Auto-Landing on Moving UGV in GPS-Denied Environment
Next Article in Special Issue
Fusing High-Spatial-Resolution Remotely Sensed Imagery and OpenStreetMap Data for Land Cover Classification Over Urban Areas
Previous Article in Journal
Change Detection in Hyperspectral Images Using Recurrent 3D Fully Convolutional Networks
Previous Article in Special Issue
Supervised Classification of Built-Up Areas in Sub-Saharan African Cities Using Landsat Imagery and OpenStreetMap
Open AccessArticle

Methodology for Participatory GIS Risk Mapping and Citizen Science for Solotvyno Salt Mines

Policy Analysis Section, Multi-Actor Systems (MAS) Department, Faculty of Technology, Policy and Management, Delft University of Technology, Building 31, Jaffalaan 5, 2628 BX Delft, P.O. Box 5015, 2600 GA Delft, The Netherlands
*
Author to whom correspondence should be addressed.
Remote Sens. 2018, 10(11), 1828; https://doi.org/10.3390/rs10111828
Received: 28 September 2018 / Revised: 23 October 2018 / Accepted: 14 November 2018 / Published: 19 November 2018
(This article belongs to the Special Issue Citizen Science and Earth Observation II)
The Horizon 2020 interim evaluation (2017) indicates a steep increase in citizen engagement in European Union Citizen Science (CS) projects, with less than 1% in budgetary terms and minimal influence. Research findings attribute weak CS influence to the restriction of citizen actions to data collection, with minimal or no engagement in co-design, co-creation, data analysis, and elucidation of results. We design a participatory GIS and CS methodology aimed at engaging the citizens in the entire Earth Observation (EO) project cycle. The methodology also seeks to address previous CS project challenges related to data quality, data interoperability, citizen-motivation, and participation. We draw the high-level requirements from the SENDAI framework of action and the three pillars of active citizen engagement, as enshrined in Principle 10 of the Rio Declaration and the Aarhus Convention. The primary input of the methodology is the Haklay (2018) approach for participatory mapping and CS, and the Reed (2009) stakeholder analysis framework. The proposed methodology comprises of three main parts: system analysis, stakeholder analysis, and a six-step methodology. We designed the six-step methodology using an iterative and flexible approach, to take account of unforeseen changes. Future research will focus on implementing the methodology and evaluating its effectiveness in the Solotvyno Saltmine case study in Ukraine. View Full-Text
Keywords: Disaster Risk Reduction (DRR), SENDAI framework; community engagement; citizen’s science; geographical information systems (GIS), risk mapping Disaster Risk Reduction (DRR), SENDAI framework; community engagement; citizen’s science; geographical information systems (GIS), risk mapping
Show Figures

Graphical abstract

MDPI and ACS Style

Onencan, A.M.; Meesters, K.; Van de Walle, B. Methodology for Participatory GIS Risk Mapping and Citizen Science for Solotvyno Salt Mines. Remote Sens. 2018, 10, 1828.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop