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Home>2023 Students' Page

2023 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 2023 Project Slides

Summer Intern	Mentor	Project
Vivek Agarwal	Jun Dong	Snowfall Rate Website and Machine Learning for Snowfall Detection View Slides
Nazneen Ansar	Fangfang Yu & Bikash Basnet	Exploring AI-Based Tools for Scientific Software Development View Slide
Ankith Bachhu	Hugo Berbery & Veljko Petkovic	Investigation of High Resolution Satellite Products for Monitoring the Hydrologic Cycle Components View Slides
Atharva Bhalke	Li-Qing Jiang	Enhancing a Suite of Matlab-based Quality Control Tools and Increasing Compatibility for Different Systems View Slide
Domenic Brooks, Alexandra Hess, & Brooke Widmar	Guangyang Fan & Daile Zhang	High Speed Video Lightning Observations Using Raspberry Pi Camera Network: College Park, Germantown, MD, and Tucson, AZ View Slides
Matias Calderon & Felix Ogordi	Hu Yang & XingMing Liang	Developing Low-cost Microwave Radiometer View Slides
Kristine Pinky Dulaca	Xi Shao & Changyong Cao	Lab Calibration of Hyperspectral Radiometer and Field Measurements View Slides
Damian Figueroa	Guangyang Fan & Daile Zhang	Supercell Visualization in VR View Slide
Brandon Fung	Korak Saha & James Frech	Offshore Wind Extrapolation to Wind Turbine Heights Using AI/ML Random Forest Algorithm View Slides
Ethan Heidtman	Andrew Badger	Hydrologic Model Validation of SWE and Streamflow: Noah LSM View Slides
Linfred Kingston	Fangfang Yu	Finding Common Features in Satellite Images with AI View Slide
Zichao Liang	Yong-Keun Lee Quanhua Liu, & Christopher Grassotti	Estimation of Tropical Cyclone Intensity over Ocean using NOAA-20 ATMS Measurements through a U-Net Machine Learning Algorithm View Slides
Agnes Liu	Jifu Yin	Evaluation of CYGNSS Soil Moisture Data Product View Slides
Alina Liu	Li Fang	An All-Weather LST Prediction Using a Neural Network Model View Slide
Madison Magaha	Paige Lavin & Jacob Wenegrat	Investigating the Impact of Tropical Cyclones on the Ocean Surface Mixed Layer View Slide
Ashmita Pyne	Guangyang Fan & Daile Zhang	VR Educational Module to Demonstrate the Law of Faraday Cage View Slide
Sarah Rinker	Xi Shao, Changyong Cao, & Surja Sharma	Space Weather Impacts on VIIRS Instrument: A hypothesis on VIIRS Sync-loss Occurrence View Slides
Tiancheng Steven Shao	Jun Dong, Sirish Uprety, & Bin Zhang	Detecting and Tracking Iceberg A76 with U-Net Deep Learning Model View Slides
Lily Shen	Jicheng Liu	Soil Moisture Anomaly Detections Using SMOPS and Its Applications in Drought Monitoring View Slides
Shangyong Shi	Yongzhen Fan	Exploring Features for Improving Orographic Snowfall Retrieval View Slides
Hritvik Shrivastava	Manik Bali & Lawrence Flynn	Climate Monitoring from Space View Slide
Lance Uymatiao	Malarvizhi Arulraj & Veljko Petkovic	3D-VisSys: Developing an Interactive 3D Weather Visualization System for Maryland-DC Region View Slide
Yin Wang	Jun Dong	Satellite Snowfall Rate Validation Using SNOTEL Observations View Slides
Guang-Lin Wei	Jingjing Peng & Peng Yu	Detection of Severe Weather Events from Satellite Products View Slides
Adam Witiak	Isaac Moradi	Application of AI in Radiative Transfer Modeling View Slide
Jolie Wu	Guangming Zheng & Megan Coffer	Developing a Machine-Learning Model Using Landsat 8 to Monitor Seagrass Area and Density in the Chesapeake Bay View Slides
Ava Xu	Heshun Wang	Correlation Between Land Surface Temperature and Vegetation Phenology View Slides
Shuo Xu	Yuling Liu	All-weather LST extension and VIIRS LST downscaling View Slide
Roger Yang	Jingjing Peng & Peng Yu	Detection and forecasting of severe weather events from satellite products using ML View Slides
Artemis Zhang	Cezar Kongoli	Accuracy of European and American Snow Depth Analyses View Slides
Niko Zhang	XingMing Liang & Hu Yang	Development of a Smart Ground-based Radiometer for Weather Study - ML TPW retrieval algorithm for the 22 GHz radiometer View Slides
Jessica Zhou	Fangfang Yu	Data Processing for GOES ABI SNO INR with N20 VIIRS View Slide

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