Earthdata Forum

Hello all,

Work on the STAC API continues. We apologize for the inconvenience. In the meantime, I'd like to suggest earthaccess, a Python library designed to simplify authentication and the process of searching for, downloading, or streaming NASA Earth science data. Here's a block of code that replicate the initial post:

```python

import earthaccess

earthaccess.login(persist=True)

collection_query = earthaccess.collection_query().provider('LPCLOUD').keyword('HLS')

hls_products = ['HLSL30', 'HLSS30']

collection_ids = [x['meta']['concept-id'] for x in collection_query.fields(['ShortName']).get() if x['umm']['ShortName'] in hls_products]

bbox = (-105.58650854045227,40.05184049311418,-105.5832945453711, 40.05424331298521)

date = ('2023-05-01','2023-09-30')

granules_request = earthaccess.search_data(

concept_id=collection_ids,

provider='LPCLOUD',

bounding_box=bbox,

temporal=date,

count=100

)

asset_links = [x.data_links() for x in granules_request]

asset_links

```

Here are some additional resources for getting started with earthaccess:

- https://github.com/nsidc/earthaccess/

- https://nasa-openscapes.github.io/earthdata-cloud-cookbook/how-tos/find-data/find-python.html

- https://github.com/CU-ESIIL/HYR-SENSE/blob/main/notebooks/how_to/earthaccess_Introduction.ipynb
GitHub - nsidc/earthaccess: Python Library for NASA Earthdata APIs
Python Library for NASA Earthdata APIs. Contribute to nsidc/earthaccess development by creating an account on GitHub.

1. visit https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections/HLSL30_2.0/items
2. select the next link

   Code: Select all

   jsonresponse.links[3].href

   which will probably be something like this https://cmr.earthdata.nasa.gov/stac/LPCLOUD/collections/HLSL30_2.0/items?cursor=eyJqc29uIjoiW1wibHBjbG91ZFwiLDEzNjU2MzkzMzI4ODgsMjI0NzA2MTU3MF0iLCJ1bW0iOiJbXCJscGNsb3VkXCIsMTM2NTYzOTMzMjg4OCwyMjQ3MDYxNTcwXSJ9
3. get error

   Code: Select all

   "Oops! Something has gone wrong. We have been alerted and are working to resolve the problem. Please try your request again later."

dyuu wrote: ↑Wed Sep 18, 2024 12:07 am America/New_York
My MRE (small section of Central park, 9 months):

results = catalog.search(
bbox=[-73.9819, 40.7681, -73.9580, 40.7851],
collections=["HLSL30_2.0"],
datetime="2019-01-01T00:00:00Z/2019-09-01T00:00:00Z",
)