WaterSatOnCloud

Water specific Satellite Imagery processing on Cloud Platforms

This project includes tools we developed when attending the Harmful Algal Bloom Detection Challenge

Introduction

This repository provides tools for collecting Sentinel-2 MSI (S2MSI) and Landsat 8/9 (LST8) matchups with in situ water samples and building bio-optical models that derive water properties, such as [Chl], of small water bodies through remote sensing.

Tools

Here are a list of tools that provided in this package.

1. GEE S2 satellite data extraction (Level 1 and level 2), with user-defined locations and time (lat, lon, datetime field in a .csv)
2. GEE LST8 satellite data extraction (level 1 and level 2), with user-defined locations and time (lat, lon, datetime field in a .csv)
3. HRRR climate and meteorological data extraction, with user-defined locations and time, limited to the US
4. Py6S for Rayleigh Correction of level-1 data.
5. Machine learning training models (RF, lightGBM, TENSORFLOW) , category classification or numeric regression
6. GLORIA dataset for training example
7. ...

How to use

• use the .ipynb files and open in google collab to follow the code step by step
• use the .py files of the same name as part of your project. (python environment managemnet, conda...)

Contributors

• Yulun Wu
• Chui Zeng