A living document for tips, tricks, and resources for the HydroSense lab group. Please add and edit as desired, and follow citation protocols if/as requested.
- Open Geospatial Solutions: Open source packages developed by Qiusheng Wu et al. Many of his tutorials are likely cross-linked with other resources!
- ML Tutorial from GRSS 2023: Slides and JupyterNotebooks created by George Tsagkatakis, taught at GRSS 2023 Summer School.
- Carpentry Workshops: Carpentries lessons! This course presented at the 2023 IEEE GRSS-USC MHI Summer School by Ryan Avery and Chuck Daniels is highly recommended.
- Earth Data Science Courses: Introductory how-to's to install and execute geospatial codes in python - Github
- Official GEE Tutorial: The official GEE tutorial
- Community GEE Tutorials: GEE tutorials for a variety of applications (e.g., SMAP tutorial by former lab member, Manh-Hung Le)
- GEE for Ecology Tutorial: GEE tutorial for ecological applications.
- Misc. Python Codes & Packages: Python Compilation by Javed Ali from University of Central Florida.
- Misc. R Codes & Packages: R Compilation by Javed Ali from University of Central Florida.
- Geospatial Data Course in Python: Online course developed by David Shean et al. from UWashington.
- UVA Rivanna: Website to sign up for workshops and get help on how to access Rivanna.
- NASA ARSET: A series of workshops from NASA's Applied Sciences branch.
- ChatGPT: Use at your own risk (errors and biases exist), but helpful assistant for self-learning and debugging.
- ResearchRabbit: AI-based literature review assistant for gap-filling knowledge.
- PapersWithCode: ML open-source code papers
- Cheat Sheet for Data Science: A Medium post with useful notes.
- Intro. GIS: Penn State online course
- Intro. Stats: Penn State online course
- Timeseries & Forecasting: Online textbook by Monash U professors.
- AGU Machine Learning Applications: Article on ML applications published in AGU
- ML Metrics: Medium post about performance metrics
- ML UVA Course: Online course recorded by former lab member, Hyunglok Kim.
- Data Visualization: Online guide and tutorials on data visualization from UT-Austin.
- Basic Paper Structure: The bare-bones of a scientific paper.
- Discussion on Writing: Nuanced discussion on research papers.
- How to Read: Paper on how to read a paper.