Xiaolan Xu
Scientist @ JPL | Remote Sensing, Microwave Scattering
- Role
- Scientist at NASA Jet Propulsion Laboratory
- Location
- Pasadena, CA, US
- LinkedIn followers
- 500 followers
About Xiaolan Xu
As a Scientist at NASA\'s Jet Propulsion Laboratory with over a decade of experience, I contribute to advancing remote sensing technologies and Earth science missions. My work focuses on developing cutting-edge algorithms, such as the Freeze/Thaw L2/3-FT product and bistatic scattering methods using Signals of Opportunity (SoOps), to enhance data accuracy for satellite missions like SMAP and CYGNSS. My expertise lies in microwave scattering, soil moisture retrieval, and snow cover tomography, which I leverage to support groundbreaking satellite missions. With hands-on fieldwork, innovative hardware deployment, and collaborative research, I aim to bridge theoretical advancements with practical applications in Earth remote sensing.
Experience
Scientist
NASA Jet Propulsion Laboratory
Jan 2014 — Present
Lead developer for Freeze/Thaw algorithm (L2/3-FT product) for Soil Moisture Active Passive satellite mission- Support optional algorithm and data cubes (L2-SM-A) for Soil Moisture Active Passive (SMAP) satellite mission- Develop methods for estimating reflectance from bistatic scattering of digital communication satellite Signals of Opportunity (SoOps) across the available microwave spectrum, from VHF to Ka band.SoOp Field Campaign: Equipment Deployment, Hardware Assembling and Ground Measurement Sampling- Develop the theoretical basis and retrieval algorithm for the radar tomography of snow cover (PI)- Develop JPL level 3 soil moisture product for CYGNSS
Education
University of Washington
PHD, Electromagnetics
2006 — 2011
Zhejiang University
B.E, Electrical Engineering
2002 — 2006
University of Washington
MS, Electrical Engineering
2006 — 2008
Skills
- C
- Programming
- Matlab
- Electromagnetics
- Electrical Engineering
- Hfss
- Labview
- Pspice
- Antennas
- Simulations
- Network Analyzer
- Algorithms
- Signal Processing
- Modeling
- Ansys
- Fortran
- Rf
- Signal Integrity
- Numerical Analysis
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