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CISESS Summer Interns' 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 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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