Bio

Hi, I’m Elizabeth Wig! I’m a PhD student in electrical engineering at Stanford, and I research how we can use radar remote sensing to understand more about processes on Earth. I work mainly on InSAR (interferometric synthetic aperture radar), which looks at how radar phase changes from one image to another to tell us how Earth is changing. I’m particularly interested in measuring how vegetation and soil moisture change in dynamic environments, like agricultural areas and permafrost regions. My favorite types of problems involve modeling how electromagnetic waves interact with their environment, and then combining those models with real-world data to learn more about the environment by analyzing the waves that pass through it.

Contact

  • Academic
    University - Student Department: Electrical Engineering Position: Graduate

Additional Info

All Publications

  • HIGH-RESOLUTION MEASUREMENT OF SOIL MOISTURE FROM INSAR PHASE CLOSURE Wig, E., Michaelides, R., Zebker, H., IEEE IEEE. 2022: 919-922

    View details for DOI 10.1109/IGARSS46834.2022.9884835

    View details for Web of Science ID 000920916601041

  • Identifying active retrogressive thaw slumps from ArcticDEM ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING Huang, L., Willis, M. J., Li, G., Lantz, T. C., Schaefer, K., Wig, E., Cao, G., Tiampo, K. F. 2023; 205: 301-316

    View details for DOI 10.1016/j.isprsjprs.2023.10.008

    View details for Web of Science ID 001101641200001

  • Fast, Fully-Automatic Characterization of Metallic and Water-Based Threat Objects for Millimeter-Wave Personnel Screening Systems IEEE OPEN JOURNAL OF ANTENNAS AND PROPAGATION Tajdini, M. M., Asri, M., Wig, E., Gamage, A., Rappaport, C. M. 2023; 4: 245-253

    View details for DOI 10.1109/OJAP.2023.3247491

    View details for Web of Science ID 000946296400003

  • Permafrost Dynamics Observatory (PDO): 2. Joint Retrieval of Permafrost Active Layer Thickness and Soil Moisture From L-Band InSAR and P-Band PolSAR EARTH AND SPACE SCIENCE Chen, R. H., Michaelides, R. J., Zhao, Y., Huang, L., Wig, E., Sullivan, T. D., Parsekian, A. D., Zebker, H. A., Moghaddam, M., Schaefer, K. M. 2023; 10 (1)

    View details for DOI 10.1029/2022EA002453

    View details for Web of Science ID 001061745000001

  • Automatic Threat Prediction of Body-Worn Objects for Security Screening Purposes IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION Asri, M., Tajdini, M. M., Wig, E., Rappaport, C. M. 2022; 70 (10): 9732-9741

    View details for DOI 10.1109/TAP.2022.3177532

    View details for Web of Science ID 000880709700099

  • Automatic Classification of Low-Loss and Lossless Materials in Wideband Radar Images for Millimeter-Wave Personnel Screening Systems Asri, M., Tajdini, M., Wig, E., Rappaport, C., IEEE IEEE. 2022

    View details for Web of Science ID 000815113902010

  • Validation of Permafrost Active Layer Estimates from Airborne SAR Observations REMOTE SENSING Parsekian, A. D., Chen, R. H., Michaelides, R. J., Sullivan, T. D., Clayton, L. K., Huang, L., Zhao, Y., Wig, E., Moghaddam, M., Zebker, H., Schaefer, K. 2021; 13 (15)

    View details for DOI 10.3390/rs13152876

    View details for Web of Science ID 000682348200001

https://orcid.org/0000-0002-8604-0155