Data Fusion

Applications

(Ongoing research topics are highlighted in blue boldface)

    • Multiple geospatial data fusion for landslide hazard mapping

    • Geological/geochemical/geophysical data fusion for mineral potential mapping

    • Multi-sensor remote sensing data fusion for land-cover classification

    • Spatio-temporal image fusion for environmental monitoring and thematic mapping

    • Geogenic radiation potential mapping using geology and environmental data sets

    • Decision level fusion of various spatial data integration models

    • Multiple geoenvironmental data fusion for wildlife habitat mapping

Selected publications

    • Soyeon Park, No-Wook Park, and Sang-il Na, 2022. An object-based weighting approach to spatiotemporal fusion of high spatial resolution satellite images for small-scale cropland monitoring, Agronomy, 12(10), 2572.

    • Yeseul Kim, Phaedon C. Kyriakidis, and No-Wook Park, 2020. A cross-resolution, spatiotemporal geostatistical fusion model for combining satellite image time-series of different spatial and temporal resolutions, Remote Sensing, 12(10), 1553.

    • No-Wook Park, 2015. Using maximum entropy modeling for landslide susceptibility mapping with multiple environmental data sets, Environmental Earth Sciences, 73(3), pp.937-949.

    • Hyun-Joo Oh, No-Wook Park, Sung-Soon Lee, and Saro Lee, 2012. Extraction of landslide-related factors from ASTER imagery and its application to landslide susceptibility mapping, International Journal of Remote Sensing, 33(10), pp.3211-3231.

    • No-Wook Park, 2011. Application of Dempster-Shafer theory of evidence to GIS-based landslide susceptibility analysis, Environmental Earth Sciences, 62(2), pp.367-376.

    • No-Wook Park, 2010. Accounting for temporal contextual information in land-cover classification with multi-sensor SAR data, International Journal of Remote Sensing, 31(2), pp.281-298.

    • No-Wook Park and Kwang-Hoon Chi, 2008. Integration of multi-temporal/polarization C-band SAR data sets for land-cover classification, International Journal of Remote Sensing, 29(16), pp.4667-4688.

    • No-Wook Park and Kang-Hoon Chi, 2008. Quantitative assessment of landslide susceptibility using high-resolution remote sensing data and a generalized additive model, International Journal of Remote Sensing, 29(1), pp.247-264.