---
# System prepended metadata

title: Team 4

---

# Team 4

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**Day I**

**Functions**:

* 

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## To-Do

* [ ] Spreadsheet for Datasets


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## Goals


### Safe Goal

* Simple Preprocessing Tools (georeferences, normalizing, tiling, atm correction (???))
* Downloader (e.g. GIBSDownloader)
* DataLoader

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## To Investigate


#### How do we visualize stuff?


<details>
<summary>IPyLeaflet</summary>


* [Docs](https://ipyleaflet.readthedocs.io/en/latest/)
</details>

<details>
<summary>WorldFloods</summary>


* [Docs](https://github.com/spaceml-org/worldfloods_internal)
</details>

<details>
<summary>NASA-GIBS-Downloader</summary>


* [Docs](https://github.com/spaceml-org/worldfloods_internal)
</details>


<details>
<summary>Javascript</summary>


* Ask Gonzalo...


</details>

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## Things to Think About


* Bits and Bobs
* Image Types: e.g. TIFFs, GEE
* SAR (RADAR)




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## Code





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### Inspiration

**EO-Learn** - [Repo](https://github.com/sentinel-hub/eo-learn)

**eo4ai** - [Repo](https://github.com/ESA-PhiLab/eo4ai)

**ml_drought** - [Repo](https://github.com/esowc/ml_drought)

**ml_flood** - [Repo](https://github.com/esowc/ml_flood) | [Blog](https://matehiw-project.github.io/)

**worldfloods** - [Repo](https://github.com/spaceml-org/worldfloods_internal)

**NASA-GIBS-Downloader** - [Repo](https://github.com/spaceml-org/NASA-GIBS-Downloader)

**PyTorch-Lightning Stack** - [Package](https://github.com/PyTorchLightning/pytorch-lightning) | [Bolts](https://github.com/PyTorchLightning/pytorch-lightning-bolts) | [Flash](https://github.com/PyTorchLightning/lightning-flash) | [Template](https://github.com/PyTorchLightning/deep-learning-project-template)

**Missing-Pixel-Filler** - [Repo](https://github.com/spaceml-org/Missing-Pixel-Filler)

---
#### Tiling

* [Lucas' thoughts](https://docs.google.com/presentation/d/1GxDtXS9gafBDgwRVHYqnFylKBAf8oFjRMtE9kYfzBxY/edit?usp=sharing)
* Richard's words -> [Microbatching](https://hazelcast.com/glossary/micro-batch-processing/)


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##### Tutorials

* Earth Data Analytics
    * [Preprocessing Raster Data](https://www.earthdatascience.org/courses/use-data-open-source-python/intro-vector-data-python/vector-data-processing/) - Reproject, Clip, Dissolve, Spatial Joins, Missing Data
    * [Preprocessing Raster Data](https://www.earthdatascience.org/courses/use-data-open-source-python/intro-raster-data-python/) - Subtract, Export, Classify, Crop, Reproject
* [Introduction to Geospatial Raster and Vector Data with Python](https://carpentries-incubator.github.io/geospatial-python/setup.html)

---
##### Python Packages

[Python Packages](https://)



| Packages | "Expertise" | Webpage |
| -------- | -------- | -------- |
| `proj4`     | ...     | Text     |
| `GDAL`     | S     | Text     |
| `follium`     |      | Text     |
| `xarray`     | E     | Text     |
| `zarr`     | E     | Text     |
| `gee`     |      | Text     |
| `rioxarray` | | [Docs](https://corteva.github.io/rioxarray/) |
| `Rasterio` | | |


**Examples**

* Rasterio
    * [Reprojection](https://rasterio.readthedocs.io/en/latest/topics/reproject.html) | [Resampling](https://rasterio.readthedocs.io/en/latest/topics/resampling.html) | [Georeferencing](https://rasterio.readthedocs.io/en/latest/topics/georeferencing.html)

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##### Docker

* [Lambda Stack](https://lambdalabs.com/blog/set-up-a-tensorflow-gpu-docker-container-using-lambda-stack-dockerfile/) - [Tutorial](https://lambdalabs.com/lambda-stack-deep-learning-software)
* [Conda Tricks](https://pythonspeed.com/articles/activate-conda-dockerfile/)
* [Flask App + Conda Environment](https://softwarejargon.com/dockerizing-python-flask-app-and-conda-environment/)

---
## Documentation



##### Jupterbook

* [MyST](https://myst-nb.readthedocs.io/en/latest/)


## Tips n Tricks


### VSCode Stuff


#### Useful Add-Ons

* Python
* PyLance
* ToDo Tree
* Git History
* Live-Share
* Markdown All In one
* Remote SSH
* Remote Development
* Settings Sync


#### VSCode + SSH

* [My Tutorial](https://jejjohnson.github.io/research_notebook/content/tutorials/remote/vscode_jlab.html)
