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An ecosystem of data, models and code pipelines to tackle flooding with ML

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This issue will do most of the preprocessing necessary to download the floodmaps to the bucket and the subsequent querying from GEE (e.g. S2 images) to be saved to the...

enhancement

Things to check: 1. Check that the notebooks run. 2. Check if they run in collab. 3. Check that they point to data on `gs://ml4cc_data_lake/2_PROD/`. (Copy data there if needed...

We need a csv file with all of the filenames for the images and ground truths. A simple glob will be sufficient. --- #### Format Some key columns for easy...

help wanted
dataprep

Ref: [PR 53: Pytest to environment.yml](https://github.com/spaceml-org/ml4floods/pull/53) First thing to say is that you probably don't need to write much more code. The notebooks contain the test principles, it's just an...

It might be helpful to include meta information like the `crs` and the `transform` for the Viz team. See file [`src/data/create_gt.py`](https://github.com/spaceml-org/ml4floods/blob/main/src/data/create_gt.py#L88). --- #### Original Comment by @Lkruitwagen > for downstream...

enhancement
dataprep

Ingest events from Hum Data and fetch surrounding sat images, etc. 1. Create a notebook to do this and run scripts 2. Integrate this with any real-time ingestion pipeline associated...

dataprep

Things to take into account: - [x] Function that given a pytorch dataset returns a confusion matrix (len(dataset), num_class, num_class). - [x] Function that takes that and output an JSON...

models

* [ ] Grab sentinel-1 bucket location * [ ] Create Data object * [ ] Return json with object in zarr or tif format * [ ] Match with...

dataprep