earthaccess to v0.8.2 (#101)

conda-linux-64.lock

@@ -1,6 +1,6 @@
 # Generated by conda-lock.
 # platform: linux-64
-# input_hash: 8388294ef817c6df927742b22235359da9b3dc9b18838798e983331502cce726
+# input_hash: 883a0d02d23baec1bc34c8eb0bbbf8e524434afaac93397a39ff282f10e2a72a
 @EXPLICIT
 https://conda.anaconda.org/conda-forge/linux-64/_libgcc_mutex-0.1-conda_forge.tar.bz2#d7c89558ba9fa0495403155b64376d81
 https://conda.anaconda.org/conda-forge/linux-64/ca-certificates-2023.11.17-hbcca054_0.conda#01ffc8d36f9eba0ce0b3c1955fa780ee
@@ -73,7 +73,7 @@ https://conda.anaconda.org/conda-forge/linux-64/libwebp-base-1.3.1-hd590300_0.co
 https://conda.anaconda.org/conda-forge/linux-64/libzlib-1.2.13-hd590300_5.conda#f36c115f1ee199da648e0597ec2047ad
 https://conda.anaconda.org/conda-forge/linux-64/lz4-c-1.9.4-hcb278e6_0.conda#318b08df404f9c9be5712aaa5a6f0bb0
 https://conda.anaconda.org/conda-forge/linux-64/lzo-2.10-h516909a_1000.tar.bz2#bb14fcb13341b81d5eb386423b9d2bac
-https://conda.anaconda.org/conda-forge/linux-64/metis-5.1.0-h59595ed_1007.conda#40ccb8318df2500f83bd868dd8fcd201
+https://conda.anaconda.org/conda-forge/linux-64/metis-5.1.1-h59595ed_2.conda#9ba5910c34210e7ad60736d172bbcd4c
 https://conda.anaconda.org/conda-forge/linux-64/mpg123-1.32.3-h59595ed_0.conda#bdadff838d5437aea83607ced8b37f75
 https://conda.anaconda.org/conda-forge/linux-64/ncurses-6.4-h59595ed_2.conda#7dbaa197d7ba6032caf7ae7f32c1efa0
 https://conda.anaconda.org/conda-forge/linux-64/nettle-3.9.1-h7ab15ed_0.conda#2bf1915cc107738811368afcb0993a59
@@ -411,7 +411,7 @@ https://conda.anaconda.org/conda-forge/noarch/pytools-2023.1.1-pyhd8ed1ab_0.cond
 https://conda.anaconda.org/conda-forge/noarch/pyu2f-0.1.5-pyhd8ed1ab_0.tar.bz2#caabbeaa83928d0c3e3949261daa18eb
 https://conda.anaconda.org/conda-forge/noarch/pyviz_comms-2.3.2-pyhd8ed1ab_0.conda#7c85b365bd17652f66a961446a963b40
 https://conda.anaconda.org/conda-forge/noarch/ratelim-0.1.6-py_2.tar.bz2#a3065318deda7d6879017a3264b9772c
-https://conda.anaconda.org/conda-forge/noarch/referencing-0.31.1-pyhd8ed1ab_0.conda#ae08039cf63eb82637b867aea3f04758
+https://conda.anaconda.org/conda-forge/noarch/referencing-0.32.0-pyhd8ed1ab_0.conda#a7b5a535cd614e384594530aee7e6061
 https://conda.anaconda.org/conda-forge/noarch/rfc3339-validator-0.1.4-pyhd8ed1ab_0.tar.bz2#fed45fc5ea0813240707998abe49f520
 https://conda.anaconda.org/conda-forge/noarch/rsa-4.7.2-pyh44b312d_0.tar.bz2#3452ab3790dbb1df9508b3fa4ea2f806
 https://conda.anaconda.org/conda-forge/linux-64/ruamel.yaml-0.18.5-py310h2372a71_0.conda#14fd49048b91c96a8fbf1113a8cc4f49
@@ -471,7 +471,7 @@ https://conda.anaconda.org/conda-forge/noarch/rich-13.7.0-pyhd8ed1ab_0.conda#d7a
 https://conda.anaconda.org/conda-forge/noarch/setuptools-scm-8.0.4-pyhd8ed1ab_0.conda#3b8ef3a2d80f3d89d0ae7e3c975e6c57
 https://conda.anaconda.org/conda-forge/linux-64/sqlalchemy-2.0.23-py310h2372a71_0.conda#462f016680d61abb73a2442cdb1c33fc
 https://conda.anaconda.org/conda-forge/noarch/stack_data-0.6.2-pyhd8ed1ab_0.conda#e7df0fdd404616638df5ece6e69ba7af
-https://conda.anaconda.org/conda-forge/linux-64/suitesparse-5.10.1-h9e50725_1.tar.bz2#a3a685b5f9aeb890ed874502fe56accf
+https://conda.anaconda.org/conda-forge/linux-64/suitesparse-5.10.1-h3ec001c_2.conda#9b37d27528c5f86ee09bf1fc6834da8e
 https://conda.anaconda.org/conda-forge/linux-64/tiledb-2.13.2-hd532e3d_0.conda#6d97164f19dbd27575ef1899b02dc1e0
 https://conda.anaconda.org/conda-forge/linux-64/aiohttp-3.9.1-py310h2372a71_0.conda#f367877549376e985a3df1dc430692ae
 https://conda.anaconda.org/conda-forge/noarch/alembic-1.13.0-pyhd8ed1ab_0.conda#7f0372c1cfa41891787ddf267334c0c7
@@ -583,7 +583,7 @@ https://conda.anaconda.org/conda-forge/noarch/s3fs-2023.6.0-pyhd8ed1ab_0.conda#6
 https://conda.anaconda.org/conda-forge/linux-64/scikit-image-0.19.3-py310h769672d_2.tar.bz2#c0391107b0cd0010708d6969ed759e8b
 https://conda.anaconda.org/conda-forge/noarch/seaborn-base-0.12.1-pyhd8ed1ab_0.tar.bz2#f87b94dc53178574eedd09c317c2318f
 https://conda.anaconda.org/conda-forge/noarch/xarray-datatree-0.0.13-pyhd8ed1ab_0.conda#df8242aef902cb65736d5d01cc18a664
-https://conda.anaconda.org/conda-forge/noarch/earthaccess-0.8.1-pyhd8ed1ab_0.conda#a85ec9354f75e50f65635597eec46d89
+https://conda.anaconda.org/conda-forge/noarch/earthaccess-0.8.2-pyhd8ed1ab_0.conda#d6075a5c112c276a4c3c9ba1ee2685f4
 https://conda.anaconda.org/conda-forge/noarch/geopandas-0.13.2-pyhd8ed1ab_1.conda#47226a55e4ae3bc9feb3a17925874817
 https://conda.anaconda.org/conda-forge/noarch/google-api-python-client-2.109.0-pyhd8ed1ab_0.conda#aefeb3cc58a93d1cdab49138ac7813ba
 https://conda.anaconda.org/conda-forge/noarch/google-cloud-core-2.3.3-pyhd8ed1ab_0.conda#a26b1fa8555cc1d2f0f7ff9985303e66
@@ -608,7 +608,7 @@ https://conda.anaconda.org/conda-forge/noarch/jupyter_server-1.24.0-pyhd8ed1ab_0
 https://conda.anaconda.org/conda-forge/noarch/nbconvert-pandoc-6.5.3-pyhd8ed1ab_0.tar.bz2#8ecb7e0ac01613b3e186b1778f6049fb
 https://conda.anaconda.org/conda-forge/linux-64/qgis-3.28.9-py310h3eb6d7b_1.conda#e06b6cb5af8aedbeeb99ed4977693dfb
 https://conda.anaconda.org/conda-forge/noarch/sliderule-4.0.4-pyhd8ed1ab_0.conda#d7826c2b6fdd333e369b3bf7bd3638c2
-https://conda.anaconda.org/conda-forge/noarch/earthengine-api-0.1.381-pyhd8ed1ab_0.conda#a1a2c60fd0a28cc73b7716fa3e55988d
+https://conda.anaconda.org/conda-forge/noarch/earthengine-api-0.1.382-pyhd8ed1ab_0.conda#20a45a3484d99ec223ff4e565112ea76
 https://conda.anaconda.org/conda-forge/noarch/gcsfs-2023.6.0-pyhd8ed1ab_0.conda#6369d600f32e61f19bcee2ae4ad19694
 https://conda.anaconda.org/conda-forge/noarch/geoviews-1.10.1-pyhd8ed1ab_0.conda#08f49562f35d932cb35047016c46bde3
 https://conda.anaconda.org/conda-forge/noarch/icepyx-0.8.1-pyhd8ed1ab_0.conda#ea2517cb1e6fdc1749b9e1f806480a38

environment.yml

@@ -90,7 +90,7 @@ dependencies:
   - s3fs>=2023.6.0
   # handle login and similar details for accessing earthdata protected data
   # https://github.com/nsidc/earthaccess
-  - earthaccess~=0.8.1
+  - earthaccess~=0.8.2
   # Access datasets exposed via STAC
   - pystac-client==0.5.1
   # Access datasets exposed via intake catalogs