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@ahuang11 ahuang11 commented Mar 4, 2024

Closes #1251

from pystac_client import Client
from odc.stac import load
import hvplot.xarray

client = Client.open("https://earth-search.aws.element84.com/v1")
collection = "sentinel-2-l2a"
tas_bbox = [146.5, -43.6, 146.7, -43.4]
search = client.search(collections=[collection], bbox=tas_bbox, datetime="2023-12")

ds = load(search.items(), bbox=tas_bbox, groupby="solar_day", chunks={})
da = ds[["red", "green", "blue"]].isel(time=2).load().to_array()

da.hvplot.rgb("x", "y", bands="variable", robust=True)
image

@ahuang11 ahuang11 requested review from maximlt and philippjfr March 4, 2024 20:53
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ahuang11 commented Mar 19, 2024

Any thoughts about this @maximlt? I'd like to use it for a tutorial.

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maximlt commented Mar 20, 2024

Oh sorry, I didn't realize this was ready. I'll review it today.

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maximlt commented Mar 20, 2024

I'd like to use it for a tutorial.

Do you need a release? If so, when?

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Not in a rush! Maybe next week?

ahuang11 and others added 2 commits March 25, 2024 07:37
Co-authored-by: Maxime Liquet <35924738+maximlt@users.noreply.github.com>
@ahuang11 ahuang11 requested a review from maximlt March 25, 2024 14:39
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ahuang11 commented Mar 26, 2024

Follows xarray now.

robust also works with image.

image image

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LGTM!

@ahuang11 ahuang11 merged commit c5a1d3b into main Mar 27, 2024
@ahuang11 ahuang11 deleted the hvplot_converter branch March 27, 2024 03:34
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robust or clim_percentile option to get the 2nd / 98th percentile

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