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https://github.com/seatedro/big_data_project

CS GY 6513 Big Data Project
https://github.com/seatedro/big_data_project

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CS GY 6513 Big Data Project

Host: GitHub
URL: https://github.com/seatedro/big_data_project
Owner: seatedro
Created: 2024-04-10T20:26:22.000Z (10 months ago)
Default Branch: main
Last Pushed: 2024-11-28T18:47:29.000Z (2 months ago)
Last Synced: 2024-11-28T19:35:57.642Z (2 months ago)
Language: Jupyter Notebook
Size: 19.9 MB
Stars: 1
Watchers: 1
Forks: 0
Open Issues: 0
Metadata Files:
- Readme: README.md

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README

        # NYU CS-GY 6513 Big Data Project

## Made by Rohit, Aakash, Anirudh, and Dyanesh

This project aims to build models that can predict the land cover and land surface temperature 6 months into the future using Satellite imagery.

### Dataset

- Landsat-8 by NASA (https://landsat.gsfc.nasa.gov/satellites/landsat-8/)

- MODIS by NASA (https://modis.gsfc.nasa.gov/)

  

### Tech Stack

- Python

- Flax/JAX

- Modal

- Tensorboard

- Apache Beam

- Google Earth Engine

### Sample Inference images

![lc_labels](inference/lc_labels.png)

*Land Cover Labels*

![lc_preds](inference/lc_preds.png)

*Land Cover Predictions*

![lst_labels](inference/lst_preds.png)

*Land Surface Temperature Labels*

![lst_preds](inference/lst_labels.png)

*Land Surface Temperature Predictions*