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Home>2022 Students' Page

2022 Students' Page

Students' Page

This slide show features student work with links to student pages

Satellite NO2 Datasets

NOAA intern Thomas Ely used a low Earth orbit (LEO) satellite NO2 dataset to improve the quality of a geostationary (GEO) satellite NO2 dataset with mentors Shobha Kondragunta (NOAA) & Zigang Wei (NOAA).

Vegetation Fraction

Katie Yang and mentor Heshun Wang tested machine learning (ML) models for vegetation fraction estimation and found that random forest regression model yielded the best results.

Classifying Droughts

Lauren Johnson worked with mentor Andrew Badger to study how changes in land cover affect the drought replication skill of the US Drought Monitor (USDM).

Visualizing Lightning

Areg Gevorgyan designed an interactive virtual reality (VR) experience to educate the public about types of lightning with mentor Guangyang Fang.

Snowfall Detection

Brandon Yu and mentor Jun Dong worked on a system to predict polor-orbit satellite swath snowfall detection using two-line element and weather model data.

Small Satellites

Shujia Zhang quantified the height changes of SPIRE’s small satellites over time and tested the reliability of open source software RTKLIB for positional tracking with mentor Guojun Gu.

Microwave Radiometer

Matias Calderon assisted mentor Hu (Tiger) Yang in the development and improvement of a low-cost microwave radiometer.

Signal Processing

Nathan Ho worked with mentor Hu (Tiger) Yang on a hyperspectral microwave radiometer to implement existing features of a microcontroller-based signal processing system on new field-programmable gate array (FPGA) software.

Radiometer Data

Carolyn Catan investigated long-range data transmission for a scanning microwave radiometer with mentor Hu (Tiger) Yang.

Radiometer Signal Control

Jason Chen studied remote data collection and signal control for a scanning microwave radiometer with mentor Hu (Tiger) Yang.

Soil Moisture

Angela Lei worked with mentors Jicheng Liu and Jifu Yin on validating Soil Moisture Products System (SMOPS) with quality controlled International Soil Moisture Network (ISMN) observations.

Wildfire Risk

Matthew Heinz worked with mentors Peng Yu & Jingjing Peng to create a global wildfire risk map using multiple environmental factors.

Atmospheric Polarization

Rosalyn Fang & David Liu worked with mentors Xi Shao, Changyong Cao, Sirish Uprety, & Chun-Kai Hsu to study atmospheric polarization from ground-based hyperspectral measurements.

Deep Learning

Zhuoyu Zhang worked with mentor Xingming Liang to build a working Machine Learning model in a Total Precipitable Water retrieval algorithm for the 22 GHz radiometer.

Satellite Soil Moisture

Thomas Huitema worked with mentor Jifu Yin to develop and test a machine learning model to retrieve CYGNSS soil moisture.

Water Quality

Annika Means & Oliver Wang worked with mentors Changyong Cao, Xi Shao, Sirish Uprety, & Chun-Kai Hsu to assess the use satellite data for water quality detection.

Neural Networks

Jiarui Li worked on optimizing neural networks for carbon dioxide vertical profile retrieval with mentor Peter James Beierle.

Field Measurements

Arnav Poddar & Shuyi Zjhang worked with mentors Xi Shao, Tung-Chang Liu, & Sirish Uprety to obtain robotic hyperspectral BRDF measurements of different surfaces and analyze the data.

Prompt Engineering

Vivaswan Kopparapu worked with mentor Manik Bali to develop a web interface for generating article summaries and assessed its use for the GSICS Newsletter.

Exploration Using AI

Jacob Lin’s project with mentor Fangfang Yu explored satellite image registration using artificial intelligence.

Calibration Anomalies

Richard Hu worked with mentor Fangfang Yu to develop a neural network model to forecast GOES-16 Advanced Baseline Imager (ABI) spacelook counts, and used the model to detect anomalies.

LST Product

Chelsea Sun and mentor Yuling Liu evaluated the SNPP VIIRS land surface temperature (LST) product with Landsat 8 data.

Immersive Geoscience Education

Damian Figueroa worked with mentor Guangyang Fang and summer interns to develop educational experiences in virtual and mixed-reality.

Water Cycle in VR

Samuel Wiggins and Guangyang Fang built an interactive Virtual Reality experience to educate the public about the water cycle.

Heat Waves

Roger Yang worked with mentors Jingjing Peng & Peng Yu to quantify the financial cost of heat waves and investigate the relationship between Land Surface Temperature anomaly and mortality.

Forecasting LAI

Alan Wang investigated the mechanical and environmental factors that impact Leaf Area Index (LAI) satellite image time series with mentor Heshun Wang.

GNSS RO Webpage

Under the mentorship of Xi Shao, Yong Chen, and Xinjia Zhou, intern Riya Thapar updated the Global Navigation Satellite System (GNSS) Radio Occultation (RO) webpage and optimized the visualization methods.

ML Algorithms

Alvin Tung’s project with Li Fang focused on optimizing the output of a remote sensing physical model using machine learning (ML) algorithms.

Web Platforms

Kenny Wu worked with mentors Jingjing Peng & Peng Yu to develop web-based software for researchers to view and analyze changes and relationships in land surface anomalies across multiple parameters.

Aquatic Vegetation

Jolie Wu worked with mentors Guangming Zheng & Megan Coffer (NOAA) to build a machine learning model to map aquatic vegetation in the Chesapeake Bay using Landsat 8 satellite imagery.

Downscaling LST Data

Annika Wong developed a model for downscaling GOES-R land surface temperature data with mentors Jingjing Peng & Peng Yu.

Vegetation Patterns

Alina Liu looked at the correlation of meteorological parameters with vegetation patterns globally and regionally in the past decades with mentor Yuan Zhou.

CRTM Accuracy

Sungmin Park worked with mentor Xingming Liang to evaluate the impact of various surface and atmosphere states on the Community Radiative Transfer Model (CRTM). Intern Zhuoyu Yang also contributed to the study.

Observing Lightning

Bo Cheung, Adam Clark, Ponnage Bethni Aloka Fernando, Jack Pawlowski, & Humberto Tolentino worked with Daile Zhang on lightning observations and storm analyses across the USA.

Wildfire Detection

Ainsley Giles and mentor Javier A. Villegas Bravo built, tested, and trained a machine learning algorithm to detect the location of fires and burn scars throughout the western US.

Satellite Precipitation

Reni Kaza developed interactive web-based visualizations for displaying long-term performance of satellite precipitation data with mentors Malarvizhi Arulaj & Veljko Petković.

Precipitation Rate

Aashay Zanpure investigated a ML-approach for satellite precipitation retrievals using brightness temperature observations with mentor Veljko Petković.

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Summer Intern 2022 Single-Slide Project Summaries
Summer Intern	Mentor	Project
Vivek Agarwal	Jun Dong & Yongzhen Fan	Snowfall Rate Product Interactive Website and Using Machine Learning Algorithms to Process Snowfall Rate View Slide
Domenic Brooks & Alex Friedman	Daile Zhang	High-Speed Lightning Videos Using Raspberry Pi Cameras View Slide View Video
Kaley Du	Xi Shao	Supporting the STAR Satellite Global/Regional Validation Sites (GReVS) System Development for VIIRS Imagery Quality Evaluation View Slide
Vesta Gorooh	Veljko Petković, Malarvizhi Arulaj & Ralph Ferraro	Developing Machine Learning Models for ABI and Passive Microwave Observations View Slide
Rida Khan	XingMing Liang	Developing a Deep Learning-Based Machine Learning Model to Predict Brightness Temperatures on Land View Slide
Linfred Kingston	Fangfang Yu	Assessment of ABI Image Registration with a Deep Learning Method View Slide
Clarence Lam	Lin Lin & Changyong Cao (NOAA)	Analyzing Satellite Image Data with Machine Learning View Slide
Zichao Liang	Lin Lin	Estimation of Pacific and Atlantic Tropical Cyclone Intensities from ATMS-Derived Temperature Anomalies Using Machine Learning View Slide
Agnes Liu	Jifu Yin	Data Preprocessing of Soil Moisture Observations View Slide
Stephanie Marquez (NOAA Intern)	Xiwu Zhan (NOAA) & Jifu Yin	Intercomparison of Surface Soil Moisture through Multiscale, Colocated Suborbital and Orbital Observations in the Chihuahuan Desert of North America View Slide
Liem Nguyen	Liqing Jiang	Automation Program Linking NOAA Projects to NCEI Archive for the North American Coastal Climatologies View Slides
Lukas Ozpaker	Malarvizhi Arulraj & Veljko Petković	Investigating the Potential of the Community Collaborative Rain, Hail & Snow Network (CoCoRaHS) to Serve as a Reference to the NPreciSe NOAA Satellite Precipitation Products Validation System View Slide
Terrence Pierce	Daile Zhang	Developing a Triple-blended Lightning Dataset and its Applications View Slide
Ashmita Pyne & Damian Figueroa	Guangyang Fang & Joseph Patton	Exploring Creative Ways to Use Virtual Reality to Analyze and Visualize 3D Weather and Climate Datasets View Slide
Seung Joon Rhee	Bin Zhang & Xi Shao	Feature Detection in VIIRS Images with Machine Learning Techniques View Slides
Yucheng Shao	Yongzhen Fan	Developing a Machine Learning Snowfall Detection Algorithm for the GPM Microwave Imager (GMI) View Slide
Chao-Wei Tu	Hu Yang	Design and Implementation of Digital Synchronous Detector for Microwave Radiometer View Slide
Wei Wang	Bin Zhang & Sirish Uprety	Support of VIIRS Geolocation and Radiometric Validation View Slide
Zhuoyu Yang	Jun Dong	Data Collection and Temperature Control for the Prototype Microwave Radiometer View Slide
Jessica Zhou	Jifu Yin	Preliminary Results of Predicting Wildfires on the Basis of Soil Moisture View Slides

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