ml_pipeline.datasets.datamodule

Code to load and process Harmonized Landsat Sentinel-2 (HLS) imagery data.

Uses torchdata and Pytorch Lightning.

References:

• https://hls.gsfc.nasa.gov/

• Claverie, M., Ju, J., Masek, J. G., Dungan, J. L., Vermote, E. F., Roger, J.-C., Skakun, S. V., & Justice, C. (2018). The Harmonized Landsat and Sentinel-2 surface reflectance data set. Remote Sensing of Environment, 219, 145–161. https://doi.org/10.1016/j.rse.2018.09.002

Functions

cloud_cover_filter(item[, threshold])	Return True if less than or equal to 20% cloud cover, else False.
xr_collate_fn(samples)	Converts xarray.DataArray objects to a torch.Tensor, and stack them into a torch.Tensor.
zero_mask_filter(dataarray)	Return True if input xarray.DataArray contain non-zero values, else False.

Classes

BurnScarsDataModule(image_query, vector_url, ...)