|
| 1 | +# |
| 2 | +# Build index file (catalog) of ArcticDem hosted on AWS |
| 3 | +import geopandas as gpd |
| 4 | +import numpy as np |
| 5 | +import pandas as pd |
| 6 | +import pystac |
| 7 | + |
| 8 | + |
| 9 | +############################################################################### |
| 10 | +# MAIN |
| 11 | +############################################################################### |
| 12 | + |
| 13 | +if __name__ == '__main__': |
| 14 | + |
| 15 | + # catalog_stac = 'https://pgc-opendata-dems.s3.us-west-2.amazonaws.com/pgc-data-stac.json' |
| 16 | + # cat = pystac.read_file(catalog_stac) |
| 17 | + # arcticdem_collection = cat.get_child('arcticdem') |
| 18 | + # mosaic_collection = arcticdem_collection.get_child('arcticdem-mosaics') |
| 19 | + |
| 20 | + collection_stac = 'https://pgc-opendata-dems.s3.us-west-2.amazonaws.com/arcticdem/strips/s2s041/2m.json' |
| 21 | + col = pystac.read_file(collection_stac) |
| 22 | + |
| 23 | + catalog_links = [] |
| 24 | + collection_links = [] |
| 25 | + item_list = [] |
| 26 | + |
| 27 | + for link in col.links: |
| 28 | + if link.rel == pystac.RelType.CHILD: |
| 29 | + collection_links.append(link) |
| 30 | + |
| 31 | + print(f"Number of collection links: {len(collection_links)}") |
| 32 | + cnt = 0 |
| 33 | + |
| 34 | + for link in collection_links: |
| 35 | + cnt += 1 |
| 36 | + if cnt % 100 == 0: |
| 37 | + print(f"working collection links: {cnt}") |
| 38 | + |
| 39 | + if link.rel == pystac.RelType.CHILD: |
| 40 | + sub_cat = pystac.read_file(link.target) |
| 41 | + |
| 42 | + for _link in sub_cat.links: |
| 43 | + if _link.rel == pystac.RelType.CHILD: |
| 44 | + catalog_links.append(_link) |
| 45 | + |
| 46 | + |
| 47 | + print(f"Number of catalog links: {len(catalog_links)}") |
| 48 | + cnt = 0 |
| 49 | + |
| 50 | + for link in catalog_links: |
| 51 | + cnt += 1 |
| 52 | + if cnt % 100 == 0: |
| 53 | + print(f"working catalog links: {cnt}") |
| 54 | + |
| 55 | + subcat = pystac.read_file(link) |
| 56 | + |
| 57 | + for _link in subcat.links: |
| 58 | + if _link.rel == pystac.RelType.CHILD: |
| 59 | + item = pystac.read_file(_link.target) |
| 60 | + item_list.append(item) |
| 61 | + |
| 62 | + print(f"Number of features: {len(item_list)}") |
| 63 | + |
| 64 | + # Geopandas ignores list-valued keys when opening, so this moves asset hrefs to properties for convenience |
| 65 | + for item in item_list: |
| 66 | + item.clear_links() |
| 67 | + asset_hrefs = pd.DataFrame( |
| 68 | + item.to_dict()['assets']).T['href'].to_dict() |
| 69 | + item.properties.update(asset_hrefs) |
| 70 | + |
| 71 | + items = pystac.ItemCollection(item_list) |
| 72 | + items.save_object('/data/ArcticDem/strips.geojson') |
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