Geological Image Analysis Software - GIAS v2

Publications

GIAS and jPor are now being used to process geospatial data. The following publications have employed them for data processing:

  • Hamilton, C.W, Beggan, C.D., Still, S., Beuthe, M., Lopes, R., Williams, D.A., Radebaugh, J., Wright, W., 2012, Spatial distribution of volcanoes on Io: Implications for tidal heating and magma ascent, Earth and Planetary Science Letters 361, 272-286
  • DeVasto, M.A., Czeck, D.M., Bhattacharyya, P., 2012, Using image analysis and ArcGIS® to improve automatic grain boundary detection and quantify geological images, Computers and Geosciences, 49, 38-45
  • Das, S.,Morsi, Y.S., Brooks, G., Chen, J.J.J., 2012, Yang, W., Principal characteristics of a bubble formation on a horizontal downward facing surface, Colloids and Surfaces A: Physicochemical and Engineering Aspects, 411, 94-104
  • Chang, F-J., Chung, C-H., 2012, Estimation of riverbed grain-size distribution using image-processing techniques, Journal of Hydrology, 440–441,102-112
  • Grove, C., Jerram, D.A., 2011, jPOR: An ImageJ macro to quantify total optical porosity from blue-stained thin sections, Computers and Geosciences, 37, 1850-1859
  • Hamilton, C.W., Fagents, S.A.,Thordarson, T.,  2011, Lava–ground ice interactions in Elysium Planitia, Mars: Geomorphological and geospatial analysis of the Tartarus Colles cone groups, 116, E03004
  • Hamilton, C.W., Thordarson, T., Fagents, S.A., 2010a, Explosive lava-water interactions I: architecture and emplacement chronology of volcanic rootless cone groups in the 1783-1784 Laki lava flow, Iceland. Bulletin of Volcanology, 72, 449-467
  • Hamilton, C.W., Fagents, S.A., Thordarson, T., 2010b, Explosive lava-water interactions II: self-organization processes among volcanic rootless eruption sites in the 1783-1784 Laki lava flow, Iceland. Bulletin of Volcanology, 72, 469-485
  • Beggan, C.D. and Hamilton, C.W., 2010, New image processing software for analyzing object size-frequency distributions, geometry, orientation, and spatial distribution, Computers and Geosciences, 36, 539-549


For more citations look at the Beggan and Hamilton (2010) paper at Google Scholar.