Synergetic Use of Crowdsourcing for Environmental Science Research, Applications and Education

Abstract:

Environmental science research and applications often utilize information that is not readily available or routinely collected by government agencies. Whereas, the quality and quantity of environmental monitoring data is continually improving (e. g., spectral and spatial resolution of satellite imagery) contextual information needed to effectively utilize the data is sparse. Examples of such contextual information include ground truth data for land cover classification, presence/absence of species, prevalence of mosquito breeding sites and characteristics of urban land cover. Often, there are no agencies tasked with routine collection of such contextual information, which could be effectively collected through crowdsourcing.

Crowdsourcing of such information, that is useful for environmental science research and applications, also provide opportunities for experiential learning at all levels of education. Appropriately designed crowdsourcing activity can be transform students from passive recipients of information to generators of knowledge. Multiple examples of synergistic use of crowdsourcing, developed by the Public Environmental Education and Research Apps (PEERA) group, at the University of Alabama in Huntsville will be presented. One example is crowdsourcing of land use and land cover (LULC) data using Open Data Kit (ODK) and associated analysis of satellite imagery using Google Earth Engine (GEE). Implementation of this activity as inquiry based learning exercise, for both middle school and for pre-service teachers will be discussed. Another example will detail the synergy between crowdsourcing for biodiversity mapping in southern India and environmental education. Other crowdsourcing activities that offer potential for synergy between research and public education will also be discussed.