View source for User:Edoyle

== About Me ==
My name is Erin Doyle and I am a rising senior at St. Mary's College majoring in Mathematics. I am working with Dr. Puri on analyzing ICESat-2 data to look at sea ice melting specifically in the Arctic.

== Work Log ==
''' Week 1 '''

•	REU Orientation 

•	Mini Data Science Bootcamp 

•	Met with Dr. Puri to discuss project specifics 

•	Good research practices and recording work logs talk from Dr. Brylow

•	Read various articles and videos about my specific project from Dr. Puri

•	Wrote about my research goals and milestones

'''Week 2'''

•	Developed more specific research questions

•	Attended RCR training from Dr. Brylow

•	Finished the CITI modules

•	Read research papers

•	Attended technical writing meeting

•	Researched parameters used in the data and their meaning

•	Looked and previous code samples and downloaded some data to begin working with

•	Met with Dr. Puri on teams to discuss project

'''Week 3'''

•	Used GitHub resources and started building a code to classify leads vs. Solid sea ice 

•	Created my Wiki page and updated profile

•	Downloaded test data from NSIDC to use in my code 

•	Attended student check in 

•	Meet with Dr. Puri to discuss project and steps to go forward

•	Download HDF5 viewer to look into data more

•	Signed up for XSEDE user portal

•	Read ATL03 NSIDC data algorithm paper

•	Looked at XSEDE portal

•	Met with Dr. Puri on Teams to discuss next weeks work

'''Week 4'''

•	Read research papers finding various ways sea ice thickness has been modeled before

•	Found some code on GitHub of a previous modeling of sea ice thickness prediction algorithm

•	Read about various models that are used for predicting sea ice thickness

•	Looked at University of Washington’s Hackweek machine learning algorithm they used for modeling ATL03 data

•	Emailed Dr. Puri to follow up on next steps

•	Read “Feasibility of Burned Area Mapping Based on ICESat-2 Photon Counting Data”

•	Preprocessed the data to prepare 

•	Built a Gaussian and K-fold model for the data

•	Met with Dr. Puri on teams

'''Week 5'''

•	Worked on my mini presentation

•	Read research papers about machine learning techniques for remote sensing

•	Emailed Dr. Puri about my presentation

•	Downloaded Cyberduck 

•	Met with Dr.Puri on teams to go over presentation

•	Watched some tutorial videos 

•	Practiced my presentation to time it

•	Attended the mini presentation with the other students

•	Worked on Python code and download HDF5 files

•	Followed up on progress with Dr. Puri