GSA Connects 2024 Meeting in Anaheim, California

Session No. 38
Sunday, 22 September 2024: 8:00 AM-5:30 PM
Hall D (Anaheim Convention Center)

T42. Open Science, Open Data: Geoinformatics and Why it Should be on Everyone’s Radar (Posters)

Authors will be present from 9 to 11 AM.

 

Paper #
Booth #
141
DEVONIAN IMLS DIGITIZATION PROJECT AT THE FIELD MUSEUM AND MILWAUKEE PUBLIC MUSEUM
MAYER, Paul, The Field Museum, 1400 S Lake Shore Dr, Chicago, IL 60605-2827 and COOROUGH BURKE, Patricia, Geology Section, Milwaukee Public Museum, 2029 N 51ST ST, Milwaukee, WI 53208
Handouts
  • 2024 GSA Anaheim Devonian IMLS Digitization Project at the Field Museum.pptx (1).pdf (4.8 MB)
  • 142
    TESTING THE ACCURACY OF POLYCAM 3D SCANNING SOFTWARE ON LIDAR AND OPTICAL PHOTOGRAMMETRY DEVICES IN FIELD RESEARCH
    ROMERO, Perla1, KELLY, Abby1, VAN HOOK, Matt1, LARSON, Erik2 and TESTA, Maurice P.1, (1)Geoscience, University of Arkansas - Fort Smith, 5210 Grand Ave, Fort Smith, AR 72904-7362, (2)PO Box 1164, Portsmouth, OH 45662-1164
    143
    MULTISENSOR SATELLITE DATA FUSION AND MACHINE LEARNING FOR ESTIMATING AND EXTRAPOLATING ABOVE-GROUND BIOMASS IN ARKANSAS FORESTS
    SAIM, Abdullah Al and ALY, Mohamed, Department of Geosciences, University of Arkansas, Fayetteville, AR 72701
    144
    ASSESSING THE IMPACT OF URBANIZATION ON LAND SURFACE TEMPERATURE AND LAND USE/LAND COVER DYNAMICS IN ARKANSAS: A 20-YEAR SPATIOTEMPORAL ANALYSIS USING MACHINE LEARNING & GOOGLE EARTH ENGINE
    VAHID BELARGHOU, Rasool, Environmental Dynamics Program, University of Arkansas, Fayetteville, AR 72703 and ALY, Mohamed, Department of Geosciences, University of Arkansas, Fayetteville, AR 72701
    145
    ASSESSING ADVANCED AI MODELS AS GEOSPATIAL DATA ANALYSTS: INTEGRATING NATURAL LANGUAGE WITH SQL IN SPATIAL DATABASES
    TSO, Joseph, Civil and Infrastructure Engineering, George Mason University, 4400 University Drive, Fairfax, VA 22030 and PAN, Hailey, Computer Science and Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139
    146
    LEVERAGING NEURO-SYMBOLIC AI FOR ENHANCED MINERAL PREDICTION IN DIVERSE COPPER DEPOSITS
    CHEN, Weilin, Department of Computer Science, University of Idaho, 785 Perimeter Dr., MS 1010, Moscow, ID 83844-1010
    147
    DEVELOPING A REMOTE SENSING PROCESS TO IDENTIFY COLTAN ARTISANAL MINES IN THE DEMOCRATIC REPUBLIC OF THE CONGO
    VAN WINKLE, Amelia1, KEENAN, Sarah W.1 and KELLAR, Jon J.2, (1)Department of Geology and Geological Engineering, South Dakota School of Mines and Technology, 501 E St Joseph St, Rapid City, SD 57701, (2)Department of Materials and Metallurgical Engineering, South Dakota School of Mines and Technology, 501 E St Joseph St, Rapid City, SD 57701
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