Laramie, WY
Email: ywu10@uwyo.edu
LinkedIn
GitHub
Curriculum Vitae
Bachelor, Department of Land Economics (Geomatics Group), National Chengchi University (2019)
Master of Science Program in Remote Sensing Science and Technology, National Central University (Center for Space and Remote Sensing Research) (2021)
Docorate, Water Resources/Environmental Science and Engineering, WRESE, University of Wyoming (Wyoming Geographic Information Science Center, WyGISC) (Present)
Engaging with radar remote sensing, particularly InSAR, has constituted my primary research pursuit. My proficiency lies in extracting precise Digital Elevation Models (DEMs) from Sentinel-1 imagery. This has necessitated adept data processing via the SNAP software and ArcMap, coupled with data analysis and visualization using Matlab/Python. My prior research endeavors encompassed a thorough examination of errors associated within InSAR-derived DEMs.
At present, my doctoral research navigates hydrological predicaments through the prism of remote sensing techniques. The crux of my inquiry resides in dissecting the interplay between climate change, anthropogenic change, hydrological cycles, and the prevalence of flash flood incidents across U.S. urban domains over the preceding 40-50 years. The core proposition posits that the confluence of climate dynamics and human-induced alterations has amplified the occurrence and severity of flash floods. The objective of this research is to unravel the bedrock mechanisms precipitating flood events and thereby augment societal resilience in countering the ramifications of natural adversities.
Remote Sensing (Radar and Optical),
Climate Change,
Extreme Weather,
Floods,
Geographic Information Systems and Technology,
Aerial Photogrammetry,
Machine Learning
Thesis:
Wu, Y.-Y., Ren, H., 2021, Exploration for Visual and Numeric Interpretation of SAR-based Digital Elevation Models (Master’s Thesis, National Central University). National Digital Library of Theses and Dissertations in Taiwan. https://hdl.handle.net/11296/kmmbuz
Peer-Reviewed:
Wu, Y.-Y. & Madson, A., 2024, Errors Sources of Interferometric Synthetic Aperture Radar, Remote Sensing of Environment. Remote Sensing, 16(2): 354. https://doi.org/10.3390/rs16020354
Wu, Y.-Y., Ren, H., & Madson, A., 2023, A Discussion on The Goldstein Filtering Parameters within The SNAP Software. IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, Pasadena, CA, USA, pp. 7985-7988, doi: 10.1109/IGARSS52108.2023.10282000
Wu, Y.-Y., Ren, H., 2022, Discussion on Parameters of Goldstein Filtering Function of the SNAP Software, Journal of Photogrammetry and Remote Sensing, 27(4): 213-236
Wu, Y.-Y., Ren, H., 2021, Relationship Between Errors of SAR-based Digital Elevation Models and Influencing Factors. In: International Geoscience and Remote Sensing Symposium, IGARSS 2021, online, 12-16 July 2021, Brussels, Belgium.
Wu, Y.-Y., Ren, H., 2021, Regression Analysis of Errors of SAR-based DEMs and Controlling Factors. In: International Society of Photogrammetry and Remote Sensing, ISPRS 2021, online, 5-9 July 2021, Nice, France.
Wu, Y.-Y., Lin, S.Y., Ren, H., 2020, Evaluation of the Factors Influencing InSAR Digital Elevation Model - Case Study on Image Selection and Multi-look Processing, Journal of Photogrammetry and Remote Sensing, 25(2): 115-128.
Abstracts/ Expanded Abstracts:
Wu, Y.-Y., Madson, A., 2023, Link between Increasing Precipitation Extremes and Flood Events – Regional Case Study in Louisville, Kentucky. In: International Geoscience and Remote Sensing Symposium, IGARSS 2023, in person, 16-21 July 2023, Pasadena (CA), USA.
Wu, Y.-Y., Tai, Y.H., Ren, H., 2021, Comparison of Different Coherence Thresholds for Phase Unwrapping of Sentinel-1 Imagery. In: International Symposium on Remote Sensing, ISRS 2021, online, 26-28 May 2021.
Wu, Y.-Y., Ren, H., 2021, Study on the Relationship between SAR-based Digital Elevation Models and Water Vapor Contents and Surface Deformation. EGU General Assembly 2021, online, 19–30 Apr 2021, EGU21-16161.
Wu, Y.-Y., Lin, S.Y., 2019, Assessment of interferometric SAR-based digital elevation models. In: The 40th Asian Conference on Remote Sensing, ACRS 2019, Daejeon, South Korea.
Chen, C.H., Lin, L.S., Wang, W.J., Wu, Y.-Y., 2019, Using the corrector surface models to mitigate the systematic errors between the announced orthometric heights in different years. In: The 40th Asian Conference on Remote Sensing, ACRS 2019, Daejeon, South Korea.
Chen, C.H., Lin, L.S., Wang, W.J., Wu, Y.-Y., Deng, H.C, 2019, Study on mitigating the systematic errors between the announced orthometric heights in different years by corrector surface models. In: The 38th Conference on Surveying and Geomatics, SG38, Taoyuan, Taiwan.
Wu, Y.Y., Lin, S.Y., 2019, Assessment of interferometric SAR-based digital elevation models. In: International Symposium on Remote Sensing, ISRS 2019, Taipei, Taiwan.
Development:
Python 3.5, Matlab, R
Software:
ESRI ArcMap 10.3, ESA SNAP, L3Harris ENVI, ERDAS, Pix4D
License:
Drone Piloting
sUAS (Small Unmanned Aircraft Systems) Polit Certificate Issued by the Federal Aviation Administration (FAA) on July 2023 Credential ID: 4836178
Extracurricular Courses:
Fourier Transform:
Master the Fourier transform and its applications (online, Udemy)
SAR/InSAR:
Synthetic Aperture Radar: Hazards (online, edX, certificate) 2022: InSAR Processing and Analysis (online, ISCE+, UNAVCO)
Python:
Introduction to Python (online, datacamp, certificate) Intermediate Python (online, datacamp, certificate) Python Data Science Toolbox Part 1&2 (online, datacamp, certificate) Data Manipulation with Pandas (online, datacamp, certificate) Joining Data with Pandas (online, datacamp, certificate) Introduction to Data Visualization with Matplotlib/Seaborn (online, datacamp, certificate) Intermediate Data Visualization with Seaborn (online, datacamp, certificate)
Language:
Mandarin (mother tongue), English (C1, IELTS)
Hackweek 10/2023 - GeoSmart Hackweek 2023
Location: University of Washington, Seattle, WA
Description: Participated in a selective week-long immersive programming hackweek which focused on applications of machine learning in hydrology and cryosphere Science. I was in the team crunchy-snow in which we leveraged neural networks to improve the accuracy of snow-depth retrieval from Sentinel-1 synthetic aperture radar (SAR) backscatter data, addressing the limitations of current algorithms in capturing complex relationships with terrain, vegetation, and SAR backscatter physics.
Bootcamp 08/2023 - ARCC Graduate Computing Bootcamp
Location: University of Wyoming, Laramie, Wyoming
Description: Participated in a rigorous three-day cluster computing training program hosted by the ARCC (Advanced Research Computing Center). Acquired advanced skills in leveraging high-performance computing resources, including hands-on experience with cutting-edge tools and techniques. Developed proficiency in Linux-based systems, explored Dask for parallel computing, and enhanced machine learning expertise using scikit-learn within a cluster environment.
Summer School 08/2023 - NSF I-GUIDE Summer School
Location: UCAR, Boulder, Colorado
Description: Participated in a selective week-long immersive program for geospatial data science using cloud- and high-performance computing. Contributed to the completion of a team-based project on Investigating Hydrological Responses and Shrinkage Patterns of the Great Salt Lake.
Research projects
08/2023 - Present:
High resolution upland and riverbank erosion monitoring to inform best management practices that seek to reduce sediment accumulation at the Willwood Dam
Project Host: Prof. Dr. Austin Madson (University of Wyoming)
01/2023:
Leveraging spaceborne and airborne data products to investigate large scale wildland fire fuel loads in the American West
Project Host: Prof. Dr. Austin Madson (University of Wyoming)
09/2020 - 02/2021:
Comparison of Super-Resolution Techniques for Optical Satellite Imagery
Project Host: Prof. Dr. Hsuan Ren (National Central University)
09/2018 - 02/2019:
Theoretical Conside Pration of Systematic Error Elimination of GPS Height Conversions
Project Host: Prof. Dr. Lao-Sheng Lin (National Chengchi University)
02/2017 - 12/2018:
Resilient Governance Based on Ethnology and Social Ecosystem-Dialogue between Ethnology and Spatial Information Science
Project Host: Prof. Dr. Shih-Yuan Lin (National Chengchi University)
Teaching Assistant:
01/2024 - Present:
Advanced Remote Sensing - Graduate elective course (3 Credit Hours)
Lecturer: Prof. Dr. Austin Madson (University of Wyoming)
08/2023 - 12/202:
Introduction to Remote Sensing - Graduate elective course (3 Credit Hours)
Lecturer: Prof. Dr. Austin Madson (University of Wyoming)
Contributed as a Guest Lecturer, delivering lectures on radar remote sensing.
01/2023 - 05.2023:
UAS Photogrammetry and Image Processing - Undergraduate and graduate elective course (3 Credit Hours)
Lecturer: Prof. Dr. Austin Madson (University of Wyoming)
08/2022 - 12/2022:
Introduction to Remote Sensing - Undergraduate elective course (3 Credit Hours)
Lecturer: Prof. Dr. Austin Madson (University of Wyoming)
09/2018 - 02/2019:
Aerial Photogrammetry and Lab
Lecturer: Prof. Dr. Shih-Yuan Lin (National Chengchi University)
Third-year undergraduate required course (54 hours total for one semester)
Mentor:
05/2023 - 08/2023:
McNair Scholars Program
Mentee: Louise Deeyn Pankonin Larrew (Undergraduate student, University of Wyoming)
Provided dedicated guidance to the mentee in the successful development and refinement of her McNair proposal. Offered expertise in creating maps and organizing contents into a cohesive Story Map. Facilitated the growth of the mentee’s Python Programming skills.
American Geophysical Union (AGU), Student Member #1532526
Chinese Society of Photogrammetry & Remote Sensing, CSPRS
European Geosciences Union, Student Member # 600277
Institute of Electrical and Electronics Engineers (IEEE) R10 –Asia and Pacific #97768449
