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Students' Page

This slide show features student work with links to student pages

Convection Cell Tracking

James Hawkins & Shawna Hu worked with mentors Xi Shao, Changyong Cao (NOAA), Yan Bai, & Feng Zhang to develop a machine learning model for detecting convection cells and quantifying attributes of the cells for use in nowcasting.

Lightning Observations

Keaton Kirkland monitored cameras within the Raspberry Pi camera network and analyzed videos for the purpose of validating GOES-R Geostationary Lightning Mapper and DC Lightning Mapping Array data with mentor Guangyang Fang.

Soil Moisture Dataset

Angela Lei worked with her mentors Jifu Yin & Yan Zhou on developing a soil moisture dataset from CubeSat satellite observations using machine learning.

Downscaling Framework

Jonathan Li aimed to streamline and optimize the program workflow of the GOES-R Land Surface Temperature downscaling algorithm with mentors Jingjing Peng & Peng Yu.

Crop Classification

Ryanna Naithram worked with mentor Yuan Zhou to evaluate the classification accuracy of crop types using two vegetation index datasets of different spatial resolutions.

Snowfall Rate Website

Felix Ozpaker worked with mentor Jun Dong to enhance the interactive, real-time Snowfall Rate website by adding functionality and new features.

Cloud Formation

Anh Pham worked with mentor Guangyang Fang to simulate the process of cloud formation in Virtual/Mixed Reality.

Precipitation Life Cycle

Saisidharth Seyyadri studied the life cycle of precipitation systems over orographic regions with his mentor Malarvizhi Arulraj.

Lake-Effect Snow Events

Amoson Shu worked with mentor Yulan Hong to analyze lake-effect snow cases in the Great Lakes region using GEO-LEO observations to enhance the performance of the snowfall rate algorithm on the lake-effect snow system.

Drought Prediction

Joseph Tang’s project with mentors Jingjing Peng & Peng Yu utilized machine learning techniques to predict drought events towards more effective water resource management and disaster mitigation.

Vegetation Cover

Alan Wang’s project with mentor Heshun Wang explored machine learning frameworks for deriving vegetation variables from satellite observations using a data-driven approach.

GNSS-RO Webpage

Leo Wang and Emily Ma worked on developments and improvements to the Global Navigation Satellite System Radio Occultation webpage with mentors Xinjia Zhou, Xi Shao, Guojun Gu, & Yong Chen.

Environmental Observation

Ziao Oliver Wang worked with mentors Xi Shao, Wenhui Wang, and Changyong Cao (NOAA) on a machine learning analysis of PACE Ocean Color Instrument reflectance data over Lake Erie for monitoring Harmful Algal Blooms.

Precipitation Formation

Ian Way worked with his mentor Guangyang Fang to model and accurately simulate the formation of different types of precipitation, explain the microphysical processes in an education manner, and build an interactive mixed reality module.

Interactive Geoscience

Samuel Wiggins and mentor Guangyang Fang continued the development of interactive Virtual Reality tutorials for high school and undergraduate geoscience education.

Aquatic Vegetation

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

Atmospheric Profile Prediction

Darek Yu worked with mentor Xingming Liang to explore an automatic dynamic weighting method to improve the accuracy of AI models for atmospheric profile retrievals.

AI Agents

Haider Ali worked with mentor Manik Bali to develop Artificial Intelligence agents for interacting with NOAA databases and executing Linux commands.

Snowfall Rate Product

Tomas Bayona investigated the Snowfall Rate (SFR) product with 3D MRMS reflectivity observations with his mentors Huan Meng & Yongzhen Fan.

Straylight Correction

Jason Chen worked with mentors Sirish Uprety & Tung-chang Liu to implement a machine learning model to correct data for the NOAA-21 Ozone Mapping and Profiler Suite (OMPS) Nadir Profiler.

Machine Learning

Kongkun (Kavi) Chen worked with mentor Likun Wang to explore hyperspectral infrared satellite observations using machine learning.

Latent Heating

Parth Dua worked with mentor Veljko Petković to map satellite observations of atmospheric latent heating from passive microwave sensors.

Ocean Carbon Portal

Patrick Foley developed a next-generation Ocean Carbon and Acidification Data system portal with his mentor Liqing Jiang.

Heatwave Mortality

David Guan worked with mentors Jingjing Peng & Peng Yu to estimate heatwave-attributed mortality from satellite and model data using machine learning.

Dataset Consistency

Anna Hall demonstrated a minimal end-to-end pipeline for reconstructing atmospheric profiles from legacy Advanced Microwave Sounding Unit-A data with mentors Xi Shao, Feng Zhang, & Changyong Cao (NOAA).

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Summer Intern 2024 Project Slides

Summer Intern	Mentor	Project
Thomas Ely	Shobha Kondragunta & Zigang Wei	Merged LEO-GEO Tropospheric Nitrogen Dioxide Product View Slides
Katie Yang	Heshun Wang	Vegetation Fraction Estimation with Machine Learning View Slides
Lauren Johnson	Andrew Badger	Drought Replication Skill using Noah-MP and Observed Vegetation View Slides
Areg Gevorgyan	Guangyang Fang	Visualizing Types of Lightning Using Virtual Reality View Slides
Brandon Yu	Jun Dong	Polar-orbit Satellite Swath Snowfall Detection Prediction using Two-line Element and Weather Model Data View Slides
Shujia Zhang	Guojun Gu	Monitoring Height Changes of Small Satellites View Slides
Matias Calderon	Hu (Tiger) Yang	Development of a Scanning Microwave Radiometer View Slides
Nathan Ho	Hu (Tiger) Yang	Prototype Development for a Hyperspectral Microwave Radiometer View Slides
Carolyn Catan	Hu (Tiger) Yang	Long-Range Wireless Data Transfer for a Microwave Radiometer View Slides
Jason Chen	Hu (Tiger) Yang	Remote Data Monitoring and Signal Control for a Scanning Microwave Radiometer View Slides
Angela Lei	Jicheng Liu & Jifu Yin	Validation of SMOPScdr Product using ISMN Observations View Slides
Matthew Heinz	Peng Yu & Jingjing Peng	Investigation of Wildfire Risk using Multiple Remote Sensing Parameters View Slides
Rosalyn Fang & David Liu	Xi Shao, Changyong Cao, Sirish Uprety, & Chun-Kai Hsu	Study of Atmospheric Polarization with Ground-based Robotic Hyperspectral Measurements and HARP2 Data Analysis View Slides
Zhuoyu Yang	Xingming Liang	Machine Learning-Based TPW Retrieval for the 22 GHz Radiometer View Slides
Thomas Huitema	Jifu Yin	Development of CYGNSS Soil Moisture using a Machine Learning Model View Slides
Annika Means & Oliver Wang	Xi Shao, Changyong Cao, Sirish Uprety, & Chun-Kai Hsu	UV-Visible Light Absorbance Analysis of Water Quality and PACE OCI Hyperspectral Data Analysis and Classification View Slides
Jiarui Li	Peter James Beierle	Optimizing Neural Networks for Carbon Dioxide Vertical Profile Retrieval View Slides
Arnav Poddar & Shuyi Zhang	Xi Shao, Sirish Uprety, & Tung-chang Liu	Robotic Hyperspectral BRDF Measurement System Improvement, Field Measurement and Data Analysis View Slides
Vivaswan Kopparapu	Manik Bali	Prompt Engineering for Generating Review Articles for GSICS Newsletter View Slides
Jacob Lin	Fangfang Yu	Exploring Satellite Image Registration with AI View Slides
Richard Hu	Fangfang Yu	Detecting Satellite Calibration Anomalies Using AI View Slides
Chelsea Sun	Yuling Liu	A Preliminary Evaluation of SNPP VIIRS Land Surface Temperature Product with Landsat 8 Data View Slides
Damian Figueroa	Guangyang Fang	Immersive Geoscience Education at the Virtual Proving Ground & Training Center (PGTC) View Slides
Samuel Wiggins	Guangyang Fang	Visualizing Stages of the Earth's Water Cycle Using Virtual Reality View Slides
Roger Yang	Jingjing Peng & Peng Yu	Quantifying Heat Wave Cost and Mortality View Slides
Riya Thapar	Xi Shao, Yong Chen, & Xinjia Zhou	Radio Occultation Webpage View Slides
Alvin Tung	Li Fang	Optimizing the Output of a Remote Sensing Physical Model using Machine Learning Algorithms View Slides
Alan Wang	Heshun Wang	LSTM-Based Forecasting and Anomaly Detection of LAI Satellite Image Time Series View Slides
Jolie Wu	Guangming Zheng & Megan Coffer (NOAA)	Building a ML Model to Map Aquatic Vegetation in the Chesapeake Bay using LandSat 8 Satellite Imagery View Slides
Annika Wong	Jingjing Peng & Peng Yu	Downscaling GOES-R LST to Landsat Spatial Resolution While Maintaining Temporal Resolution View Slides
Alina Liu	Yuan Zhou	Correlation of Meteorological Parameters with Vegetation Patterns Globally and Regionally in the Past Decades View Slides
Kenny Wu	Jingjing Peng & Peng Yu	Web Platforms for Visualizing Monthly and Daily Land Surface Anomalies View Slides
Sungmin Park & Zhuoyu Yang	Xingming Liang	The Effect of Different Surface and Atmosphere States on AI_CRTM View Slides
Bo Cheung, Adam Clark, Ponnage Bethni Aloka Fernando, Jack Pawlowski, & Humberto Tolentino	Daile Zhang	Lightning Observations and Analysis of Storms across the USA View Slides
Ainsley Giles	Javier Villegas Bravo	A Machine Learning Approach to Wildfire Detection View Slides
Reni Kaza	Malarvizhi Arulraj & Veljko Petkovic	Visualizing the Performance of Satellite Precipitation Data View Slides
Aashay Zanpure	Veljko Petkovic	Investigating a Machine-Learning Approach for Satellite Precipitation Retrievals View Slides

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