CITIZEN SCIENCE FOR EARTH OBSERVATION: APPLICATIONS IN ENVIRONMENTAL MONITORING AND DISASTER RESPONSE

Abstract. Citizen science is a promising way to increase temporal and spatial coverages of in-situ data, and to aid in data processing and analysis. In this paper, we present how citizen science can be used together with Earth observation, and demonstrate its value through three pilot projects focusing on forest biomass analysis, data management in emergencies and water quality monitoring. We also provide recommendations and ideas for follow-up activities. In the forest biomass analysis pilot, in the state of Durango (Mexico), local volunteers make in-situ forest inventory measurements with mobile devices. The collected data is combined with Landsat-8 imagery to derive forest biomass map of the area. The study area includes over 390 permanent sampling plots that will provide reference data for concept validation and verification. The emergency data management pilot focuses in the Philippines, in the areas affected by the typhoons Haiyan in November 2013 and Hagupit in December 2014. Data collected by emergency workers and citizens are combined with satellite data (Landsat-8, VHR if available) to intensify the disaster recovery activities and the coordination efforts. Simple processes for citizens, nongovernmental organisations and volunteers are developed to find and utilize up to date and freely available satellite imagery for coordination purposes and for building new not-for-profit services in disaster situations. In the water quality monitoring pilot, citizens around the Baltic Sea area contribute to the algae situation awareness by collecting algae observations using a mobile application. In-situ observations are compared with surface algal bloom products based on the satellite imagery, e.g. Aqua MODIS images with 500 meter resolution. As an outcome, the usability of the citizen observations together with satellite data in the algae monitoring will be evaluated.

[1]  Baik Hoh,et al.  Dynamic pricing incentive for participatory sensing , 2010, Pervasive Mob. Comput..

[2]  Krista G. Hilchey,et al.  A review of citizen science and community-based environmental monitoring: issues and opportunities , 2011, Environmental monitoring and assessment.

[3]  K. Kallio,et al.  Participatory surface algal bloom monitoring in Finland in 2011–2013 , 2014, Environmental Systems Research.

[4]  Deborah Estrin,et al.  Recruitment Framework for Participatory Sensing Data Collections , 2010, Pervasive.

[5]  Michael F. Goodchild,et al.  Assuring the quality of volunteered geographic information , 2012 .

[6]  Deborah Estrin,et al.  Examining micro-payments for participatory sensing data collections , 2010, UbiComp.

[7]  Walter Bitterlich,et al.  The relascope idea. Relative measurements in forestry. , 1984 .

[8]  P. Gregory,et al.  February , 1890, The Hospital.

[9]  Rick Bonney,et al.  The current state of citizen science as a tool for ecological research and public engagement , 2012 .

[10]  Ville Kotovirta,et al.  Participatory Sensing in Environmental Monitoring -- Experiences , 2012, 2012 Sixth International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing.

[11]  M. Haklay Citizen Science and Volunteered Geographic Information: Overview and Typology of Participation , 2013 .

[12]  M. Hansen,et al.  Participatory Sensing , 2019, Internet of Things.

[13]  Kaj Andersson,et al.  Automatic tree stem delineation supporting forest inventory , 2011, EOS/ESD Symposium Proceedings.

[14]  Jeremy Ginsberg,et al.  Detecting influenza epidemics using search engine query data , 2009, Nature.

[15]  Kaj Andersson,et al.  Relasphone — Mobile phone and interactive applications to collect ground reference biomass data for satellite image analysis , 2014, 2014 IEEE Geoscience and Remote Sensing Symposium.