An analysis of selected Indiana coals by the particle count method

Indiana Geological Survey Report of Progress 6The bituminous coals of Indiana show a characteristic bright and dull banding which is due to alternating bands of five distinct physical constituents, namely, vitrain, clarain, durain, fusain, and mineral matter. A petrographic analysis of Indiana Coals V, VI, and VII was made to determine whether any appreciable variation in the content of these ingredients occurred. The “particle count method” was used in analyzing the coals. In order to establish a standard for comparing Coals V, VI, and VII, an index number was determined for each sample by dividing the combined clarain-durain content by the vitrain content. These index numbers are the most reliable and satisfactory basis for the comparison of coals, and they maybe used to some extent in coal correlation. Because vitrain has the most desirable combustion properties, a coal that has a high vitrain content may be more desirable commercially. Coals VI and VII were found to have a distinctly higher vitrain content than Coal V. Localities of high-vitrain content within the various coal beds in Indiana are outlined in this report. Suggestions for further use of the particle count method in coal analysis are made.Indiana Department of Conservatio

A Case Study of Crowdsourcing Imagery Coding in Natural Disasters

Crowdsourcing and open licensing allow more people to participate in research and humanitarian activities. Open data, such as geographic information shared through OpenStreetMap and image datasets from disasters, can be useful for disaster response and recovery work. This chapter shares a real-world case study of humanitarian-driven imagery analysis, using open-source crowdsourcing technology. Shared philosophies in open technologies and digital humanities, including remixing and the wisdom of the crowd, are reflected in this case study.This research was funded through the European Commission FP7-ICT project: Citizen Cyberlab: Technology Enhanced Creative Learning in the field of Citizen Cyberscience