TONIAN ROBINSON
Geophysicist, Remote Sensing Scientist
******.********@*******.*** 862-***-**** Tampa, FL https://www.linkedin.com/in/tonianrobinson/ https://github.com/tonianr
* ***** ** ****** **nsing/Geospatial Research with a focus on Earth Observations
8 years in Near-Surface Geophysics, with proficiency in GPR and ERT
Proficient in quantitative analytical research using ESRI ArcGIS, Python, and MATLAB
Experienced processing satellite imagery (Synthetic Aperture Radar, Landsat), time series, statistical and geospatial analysis SKILLS
Remote Sensing
Scientific Computing
Research & Development
Technical Writing
Land Cover Classification
Statistical Data Analysis
Geospatial Analysis
Imagery Analyst
Data Management
Change Detection Analysis
EXPERIENCE
06/2017 – PRESENT RESEARCH ASSISTANT University of South Florida – Tampa, FL
Developed and maintained an interactive Python-based software for geophysical data analysis
Developed and implemented geospatial data processing solutions and workflows in High-Performance Computing Clusters and cloud computing with OpenSARLab (Amazon Web Services (AWS))
Designed and implemented statistical models to explore temporal dynamics in SAR time series
Compiled geospatial data from multiple sources and analyzed results of field data, laboratory data, and literature search
Prepared data and results for inclusion in scientific briefings, study papers, research manuscripts, or project reports
Wrote and maintained MATLAB, python, and bash/shell scripts to complete the InSAR time series analysis in open-source software tools (ISCE2, StaMPS, MintPy)
Transformed and visualized raster and vector datasets using Python (GDAL/OGR, Rasterio, GeoPandas)
Computed the digital signal processing of InSAR time series to delineate local and regional subsidence
Conducted various spatial and raster analyses, aerial photography, feature extraction, geo-referencing, and SQL querying of high-resolution remote sensing imagery using ESRI ArcGIS
Evaluated the effects of digital surface models from LiDAR point clouds (laz/las) on InSAR time series
(used NOAA Vdatum and ArcGIS for LiDAR to DSM)
Completed the removal of atmospheric phase screen from InSAR datasets using MODIS HDF5 images
Performed change detection analysis with UAS-derived Structure from Motion (SfM) and terrestrial LiDAR datasets using Agisoft Metashape and Cloud Compare, respectively
Collected, processed, analyzed, and interpreted GPR, Seismic refraction, and ERT datasets
Developed interactive webpages using JavaScript, HTML, CSS, and p5 06/2017 – PRESENT TEACHING ASSISTANT University of South Florida – Tampa, FL
Designed and created educational materials to supplement lesson plans for courses: Dynamic Earth, Intro to Physical Geology, Intro to Environmental Science, Geophysics
Guided ~80 undergraduates in Resistivity data collection and processing and technical report writing
Led an unofficial introduction to InSAR Course, where 5 Graduate students were introduced to processing InSAR datasets with the UNAVCO 2020 InSAR course materials 06/2021 – 06/2022 SUMMER GEOPHYSICS INSTRUCTOR Multiple
Guided 13 students in GPR data collection, processing, and interpretation in the Critical Zone Observatory
(Rothrock State Forest, Pennsylvania). Rutgers State University – Newark, NJ
Led the instruction of GPR and Resistivity, data collection, and processing for 6 Fort Valley State University undergraduates. IRIS Consortium (now Earthscope Consortium) – Fort Valley, GA 10/2014 – 06/2017 RESEARCH ASSISTANT Rutgers State University – Newark, NJ
Assembled and calibrated apparatus for laboratory Spectral Induced Polarization (SIP) measurements, surface area analysis using the Brunauer- Emmett-Teller (BET) method, pore size distributions from mercury injection capillary pressure (MICP) porosimetry and mineral composition of the samples using the X-ray Powder Diffraction (XRD) method.
Signal processing of SIP data using MATLAB
Resulted in 3 peer-reviewed publications.
EDUCATION
08/2017 – 05/2023* PH.D.: GEOPHYSICS University of South Florida – Tampa, FL
Led 3 geodetic projects focused on detecting land subsidence using Remote Sensing (LiDAR, SfM), satellite radar (Sentinel1A and TerraSAR-X), and Near Surface Geophysics (GPR, ERT) applications. 09/2012 – 06/2017 B.S.: GEOLOGY Rutgers State University – Newark, NJ
Undergraduate Research Assistant for ~3 years
Dean's List Spring 2015 and Spring & Fall, 2016
ACCOMPLISHMENTS
Authored 9 & co-authored 20 scientific conference presentations
Authored 1 & co-authored 2 peer-reviewed publications
Awarded over $90,000 in scholarship funding
CERTIFICATIONS
NASA ARSET: Disaster Assessment Using Synthetic Aperture Radar (2022)
NASA ARSET: Monitoring and Modeling Floods using Earth Observations (2022)
C++ Programming from Beginner to Beyond (Udemy) (2022)
GETSI Teaching in the field with SfM and RTK GPS/GNSS (2021)
UNAVCO InSAR Processing and Time-Series Analysis for Geophysical Applications: InSAR Scientific Computing Environment (ISCE), ARIA Tools, and MintPy (2020)
Seismic Surface Wave Short Course, Park Seismic LLC (2019) SOFTWARE & JARED LACROSSE
PROGRAMMING
Python, GDAL, GeoPandas, Rasterio, Jupyter
Notebooks, Matplotlib, NumPy, Pandas
MATLAB, Visual Studio, Spyder
ArcGIS, ArcMap, QGIS
High-Performance Computing (HPC)
LINUX/UNIX Environments
C++, SQL (SQLite, ArcGIS)
Generic Mapping Tools (GMT)
Google Earth Engine (GEE)
JavaScript, HTML5, p5, CSS, Adobe Illustrator
Cloud Compare, Agisoft Metashape
ReflexW, RES2DINV, RESIPy
Ground Penetrating Radar (GPR), Electrical
Resistivity Tomography (ERT), Seismic
PUBLICATIONS &
PRESENTATIONS
Oliver-Cabrera, T., Wdowinski, S., Kruse, S., Robinson, T., 2022. Detection of sinkhole activity in West- Central Florida using InSAR time-series observations. Remote Sensing of Environment. https://doi.org/10.1016/j.rse.2021.112793
Robinson, T., Rodgers, B., Oliver-Cabrera, T., Downs, C., Kruse, S., Wdowinski, S., Zhang, B., Jazayeri, S., Esmaeili, S., Kiflu, H., 2021. Complex relationships between surface topography, ground motion, and cover sediments in covered karst, west-central Florida, USA. Geomorphology 392, 107927. https://doi.org/10.1016/j.geomorph.2021.107927
Robinson, J., Slater, L., Weller, A., Keating, K., Robinson, T., Rose, C., et al. (2018). On permeability prediction from complex conductivity measurements using polarization magnitude and relaxation time. Water Resources Research, 54, 3436–3452. https://doi.org/10.1002/2017WR022034