Visualization Archives - CREST https://crest.usc.edu/research_category/visualization/ Advancing civil and commercial uses of space Thu, 06 Apr 2023 20:16:47 +0000 en-US hourly 1 https://wordpress.org/?v=6.9.4 https://crest.usc.edu/wp-content/uploads/2022/11/elementor/thumbs/overheating-planet-earth-global-warming-campaign-mixed-media-4-pyfposhzfso9irvp1aazkklwyj9aow8che0ill8i8s.png Visualization Archives - CREST https://crest.usc.edu/research_category/visualization/ 32 32 Ter-Ghazaryan, D., “Virtual DSS: Mapping Locations From Unstructured Data With ARCGIS LocateXT,” Digital Scholar Studio Resources, 2021. https://crest.usc.edu/research/ter-ghazaryan-d-virtual-dss-mapping-locations-from-unstructured-data-with-arcgis-locatext-digital-scholar-studio-resources-2021/ https://crest.usc.edu/research/ter-ghazaryan-d-virtual-dss-mapping-locations-from-unstructured-data-with-arcgis-locatext-digital-scholar-studio-resources-2021/#respond Mon, 01 Nov 2021 03:54:00 +0000 https://crest.usc.edu/?post_type=research&p=2843 The post Ter-Ghazaryan, D., “Virtual DSS: Mapping Locations From Unstructured Data With ARCGIS LocateXT,” Digital Scholar Studio Resources, 2021. appeared first on CREST.

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]]> https://crest.usc.edu/research/ter-ghazaryan-d-virtual-dss-mapping-locations-from-unstructured-data-with-arcgis-locatext-digital-scholar-studio-resources-2021/feed/ 0 Cawse-Nicholson, K., et al., “A compilation of surface imaging algorithms: NASA’s Surface Biology and Geology Designated Observable,” Remote Sensing of Environment, 2021. https://crest.usc.edu/research/cawse-nicholson-k-et-al-a-compilation-of-surface-imaging-algorithms-nasas-surface-biology-and-geology-designated-observable-remote-sensing-of-environment-2020/ https://crest.usc.edu/research/cawse-nicholson-k-et-al-a-compilation-of-surface-imaging-algorithms-nasas-surface-biology-and-geology-designated-observable-remote-sensing-of-environment-2020/#respond Sun, 30 May 2021 17:06:00 +0000 https://crest.usc.edu/?post_type=research&p=2860 The post Cawse-Nicholson, K., et al., “A compilation of surface imaging algorithms: NASA’s Surface Biology and Geology Designated Observable,” Remote Sensing of Environment, 2021. appeared first on CREST.

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]]> https://crest.usc.edu/research/cawse-nicholson-k-et-al-a-compilation-of-surface-imaging-algorithms-nasas-surface-biology-and-geology-designated-observable-remote-sensing-of-environment-2020/feed/ 0 Qi, Y., Ustin, S., Glenn, N., “Imaging Spectroscopic Analysis of Biochemical Traits for Shrub Species in Great Basin, USA,” Remote Sensing, 10, 2018. https://crest.usc.edu/research/qi-y-ustin-s-glenn-n-imaging-spectroscopic-analysis-of-biochemical-traits-for-shrub-species-in-great-basin-usa-remote-sensing-10-2018/ https://crest.usc.edu/research/qi-y-ustin-s-glenn-n-imaging-spectroscopic-analysis-of-biochemical-traits-for-shrub-species-in-great-basin-usa-remote-sensing-10-2018/#respond Fri, 12 Oct 2018 20:17:00 +0000 https://crest.usc.edu/?post_type=research&p=2823 The post Qi, Y., Ustin, S., Glenn, N., “Imaging Spectroscopic Analysis of Biochemical Traits for Shrub Species in Great Basin, USA,” Remote Sensing, 10, 2018. appeared first on CREST.

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]]> https://crest.usc.edu/research/qi-y-ustin-s-glenn-n-imaging-spectroscopic-analysis-of-biochemical-traits-for-shrub-species-in-great-basin-usa-remote-sensing-10-2018/feed/ 0 Ruddell, D., Foster, K., “GIS&T and Geodesign,” The Geographic Information Science & Technology Body of Knowledge, 2018. https://crest.usc.edu/research/ruddell-d-foster-k-gist-and-geodesign-the-geographic-information-science-technology-body-of-knowledge-2018/ https://crest.usc.edu/research/ruddell-d-foster-k-gist-and-geodesign-the-geographic-information-science-technology-body-of-knowledge-2018/#respond Wed, 12 Sep 2018 23:36:00 +0000 https://crest.usc.edu/?post_type=research&p=3048 The post Ruddell, D., Foster, K., “GIS&T and Geodesign,” The Geographic Information Science & Technology Body of Knowledge, 2018. appeared first on CREST.

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]]> https://crest.usc.edu/research/ruddell-d-foster-k-gist-and-geodesign-the-geographic-information-science-technology-body-of-knowledge-2018/feed/ 0 Shah, P., Moghaddam, M., “Fast Level Set Based Method for High Contrast Microwave Imaging,” 2015. https://crest.usc.edu/research/shah-p-moghaddam-m-fast-level-set-based-method-for-high-contrast-microwave-imaging-2018/ https://crest.usc.edu/research/shah-p-moghaddam-m-fast-level-set-based-method-for-high-contrast-microwave-imaging-2018/#respond Thu, 08 Mar 2018 21:13:00 +0000 https://crest.usc.edu/?post_type=research&p=2600 The post Shah, P., Moghaddam, M., “Fast Level Set Based Method for High Contrast Microwave Imaging,” 2015. appeared first on CREST.

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]]> https://crest.usc.edu/research/shah-p-moghaddam-m-fast-level-set-based-method-for-high-contrast-microwave-imaging-2018/feed/ 0 Clewley, D., Bunting, P., Shepherd, J., Gillingham, D., Flood, N., Dymond, J., Lucas, R., Armston, J., Moghaddam, M., “A Python-based open source system for geographic object-based image analysis (GEOBIA) utilizing raster attribute tables,” Remote Sensing, vol. 6, no. 7, pp. 6111-6135, 2014. https://crest.usc.edu/research/clewley-d-p-bunting-j-shepherd-s-gillingham-n-flood-j-dymond-r-lucas-j-armston-and-m-moghaddam-a-python-based-open-source-system-for-geographic-object-based-image-analysis/ https://crest.usc.edu/research/clewley-d-p-bunting-j-shepherd-s-gillingham-n-flood-j-dymond-r-lucas-j-armston-and-m-moghaddam-a-python-based-open-source-system-for-geographic-object-based-image-analysis/#respond Mon, 30 Jun 2014 19:22:04 +0000 https://crest.usc.edu/?post_type=research&p=1232 The post Clewley, D., Bunting, P., Shepherd, J., Gillingham, D., Flood, N., Dymond, J., Lucas, R., Armston, J., Moghaddam, M., “A Python-based open source system for geographic object-based image analysis (GEOBIA) utilizing raster attribute tables,” Remote Sensing, vol. 6, no. 7, pp. 6111-6135, 2014. appeared first on CREST.

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