Datasets:
Images with the same s2_id_gee but different ROI are missing in mlstac files
#2
by
sblaise
- opened
Hello,
I try to download the dataset and noticed that when multiple images with different ROI but the same s2_id_gee are in the same mlstac dataset, only one of these images is present.
As an example, validation_2000_high.mlstac has 74 images, but the metadata shows that there should be 77 images. The following images are absent because they are overwritten by another image with the same s2_id_gee :
- 20190517T051651_20190517T051654_T46VCN with ROI_3212
- 20190720T181931_20190720T182301_T12TUL with ROI_4229
- 20190428T162901_20190428T163646_T16TFN with ROI_3754
For the corresponding test dataset (test_2000_high.mlstac), the ROI information is included within "datapoint_id", such that the issue does not apply.
sblaise
changed discussion title from
Images with the same s2_id_gee but different ROI are missing in mstac files
to Images with the same s2_id_gee but different ROI are missing in mlstac files
Hi
@sblaise
the issue has been fixed. We need to work a bit more in the documentation but
cloudSEN12+ has stream support you can simple run:
import mlstac
# Read the metadata
metadata = mlstac.core.load_metadata('https://huggingface.co/datasets/isp-uv-es/CloudSEN12Plus/resolve/main/validation/validation_2000_high.mlstac')
# Download the data [NUMPY]
dataset = mlstac.core.load_data(metadata[0:4])
dataset
# Download the data (GEOTIFF)
import rasterio as rio
dataset, dataset_metadata = mlstac.core.load_data(metadata[0:1], save_metadata_datapoint=True)[0]
with rio.open('temp.tif', 'w', **dataset_metadata) as dst:
dst.write(dataset)
csaybar
changed discussion status to
closed