ecmwf-projects / c3s2-eqc-quality-assessment

https://ecmwf-projects.github.io/c3s2-eqc-quality-assessment/
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Identification of changes in Amazon rain forests from surface albedo #24

Open akankshabalha opened 6 months ago

akankshabalha commented 6 months ago

Data Type

Satellite ECVs - Land Biosphere

Assessment Category

Consistency Assessment

Dataset Name

satellite-albedo

Question Number

2

Task ID

13ab3ab1-dd68-11ee-8810-5279ad638b32

Zipped Notebook

Albedo_Forests.zip

Environment

name: wp5 channels: - conda-forge dependencies: - _libgcc_mutex=0.1=conda_forge - _openmp_mutex=4.5=2_gnu - affine=2.4.0=pyhd8ed1ab_0 - aiohttp=3.9.3=py311h459d7ec_0 - aiosignal=1.3.1=pyhd8ed1ab_0 - alsa-lib=1.2.10=hd590300_0 - annotated-types=0.6.0=pyhd8ed1ab_0 - ansiwrap=0.8.4=py_0 - antlr-python-runtime=4.11.1=pyhd8ed1ab_0 - anyio=4.2.0=pyhd8ed1ab_0 - argon2-cffi=23.1.0=pyhd8ed1ab_0 - argon2-cffi-bindings=21.2.0=py311h459d7ec_4 - arrow=1.3.0=pyhd8ed1ab_0 - asciitree=0.3.3=py_2 - asttokens=2.4.1=pyhd8ed1ab_0 - async-lru=2.0.4=pyhd8ed1ab_0 - attr=2.5.1=h166bdaf_1 - attrs=23.2.0=pyh71513ae_0 - aws-c-auth=0.7.15=h70caa3e_0 - aws-c-cal=0.6.9=h14ec70c_3 - aws-c-common=0.9.12=hd590300_0 - aws-c-compression=0.2.17=h572eabf_8 - aws-c-event-stream=0.4.1=h17cd1f3_5 - aws-c-http=0.8.0=hc6da83f_5 - aws-c-io=0.14.3=h3c8c088_1 - aws-c-mqtt=0.10.1=h0ef3971_3 - aws-c-s3=0.5.0=h1b46bed_2 - aws-c-sdkutils=0.1.14=h572eabf_0 - aws-checksums=0.1.17=h572eabf_7 - aws-crt-cpp=0.26.1=h33f84b2_9 - aws-sdk-cpp=1.11.242=h65f022c_0 - 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regionmask=0.11.0=pyhd8ed1ab_0 - requests=2.31.0=pyhd8ed1ab_0 - rfc3339-validator=0.1.4=pyhd8ed1ab_0 - rfc3986-validator=0.1.1=pyh9f0ad1d_0 - rich=13.7.0=pyhd8ed1ab_0 - rioxarray=0.15.1=pyhd8ed1ab_0 - rpds-py=0.18.0=py311h46250e7_0 - rtree=1.2.0=py311h3bb2b0f_0 - s2n=1.4.3=h06160fa_0 - scikit-learn=1.4.0=py311hc009520_0 - scipy=1.12.0=py311h64a7726_2 - seaborn=0.13.2=hd8ed1ab_0 - seaborn-base=0.13.2=pyhd8ed1ab_0 - send2trash=1.8.2=pyh41d4057_0 - setuptools=69.0.3=pyhd8ed1ab_0 - shapely=2.0.2=py311h2032efe_1 - shellingham=1.5.4=pyhd8ed1ab_0 - simpervisor=1.0.0=pyhd8ed1ab_0 - sip=6.7.12=py311hb755f60_0 - six=1.16.0=pyh6c4a22f_0 - snappy=1.1.10=h9fff704_0 - sniffio=1.3.0=pyhd8ed1ab_0 - snuggs=1.4.7=py_0 - sortedcontainers=2.4.0=pyhd8ed1ab_0 - soupsieve=2.5=pyhd8ed1ab_1 - sparse=0.15.1=pyhd8ed1ab_1 - sqlalchemy=2.0.27=py311h459d7ec_0 - sqlite=3.45.1=h2c6b66d_0 - stack_data=0.6.2=pyhd8ed1ab_0 - statsmodels=0.14.1=py311h1f0f07a_0 - structlog=24.1.0=pyhd8ed1ab_0 - tblib=3.0.0=pyhd8ed1ab_0 - tenacity=8.2.3=pyhd8ed1ab_0 - terminado=0.18.0=pyh0d859eb_0 - textwrap3=0.9.2=py_0 - threadpoolctl=3.2.0=pyha21a80b_0 - tiledb=2.19.1=h4386cac_0 - tinycss2=1.2.1=pyhd8ed1ab_0 - tk=8.6.13=noxft_h4845f30_101 - toml=0.10.2=pyhd8ed1ab_0 - tomli=2.0.1=pyhd8ed1ab_0 - toolz=0.12.1=pyhd8ed1ab_0 - tornado=6.3.3=py311h459d7ec_1 - tqdm=4.66.2=pyhd8ed1ab_0 - traitlets=5.14.1=pyhd8ed1ab_0 - typer=0.9.0=pyhd8ed1ab_0 - types-python-dateutil=2.8.19.20240106=pyhd8ed1ab_0 - typing-extensions=4.9.0=hd8ed1ab_0 - typing_extensions=4.9.0=pyha770c72_0 - typing_utils=0.1.0=pyhd8ed1ab_0 - tzcode=2024a=h3f72095_0 - tzdata=2024a=h0c530f3_0 - ucx=1.15.0=h75e419f_3 - udunits2=2.2.28=h40f5838_3 - uri-template=1.3.0=pyhd8ed1ab_0 - uriparser=0.9.7=hcb278e6_1 - urllib3=2.2.0=pyhd8ed1ab_0 - wcwidth=0.2.13=pyhd8ed1ab_0 - webcolors=1.13=pyhd8ed1ab_0 - webencodings=0.5.1=pyhd8ed1ab_2 - websocket-client=1.7.0=pyhd8ed1ab_0 - wheel=0.42.0=pyhd8ed1ab_0 - xarray=2024.1.1=pyhd8ed1ab_0 - xarraymannkendall=1.4.5=pyhd8ed1ab_0 - xcb-util=0.4.0=hd590300_1 - xcb-util-image=0.4.0=h8ee46fc_1 - xcb-util-keysyms=0.4.0=h8ee46fc_1 - xcb-util-renderutil=0.3.9=hd590300_1 - xcb-util-wm=0.4.1=h8ee46fc_1 - xerces-c=3.2.5=hac6953d_0 - xesmf=0.8.2=pyhd8ed1ab_0 - xhistogram=0.3.2=pyhd8ed1ab_0 - xkeyboard-config=2.41=hd590300_0 - xorg-fixesproto=5.0=h7f98852_1002 - xorg-inputproto=2.3.2=h7f98852_1002 - xorg-kbproto=1.0.7=h7f98852_1002 - xorg-libice=1.1.1=hd590300_0 - xorg-libsm=1.2.4=h7391055_0 - xorg-libx11=1.8.7=h8ee46fc_0 - xorg-libxau=1.0.11=hd590300_0 - xorg-libxdmcp=1.1.3=h7f98852_0 - xorg-libxext=1.3.4=h0b41bf4_2 - xorg-libxfixes=5.0.3=h7f98852_1004 - xorg-libxi=1.7.10=h7f98852_0 - xorg-libxrender=0.9.11=hd590300_0 - xorg-renderproto=0.11.1=h7f98852_1002 - xorg-xextproto=7.3.0=h0b41bf4_1003 - xorg-xf86vidmodeproto=2.3.1=h7f98852_1002 - xorg-xproto=7.0.31=h7f98852_1007 - xskillscore=0.0.24=pyhd8ed1ab_0 - xyzservices=2023.10.1=pyhd8ed1ab_0 - xz=5.2.6=h166bdaf_0 - yaml=0.2.5=h7f98852_2 - yarl=1.9.4=py311h459d7ec_0 - zarr=2.16.1=pyhd8ed1ab_0 - zeromq=4.3.5=h59595ed_0 - zict=3.0.0=pyhd8ed1ab_0 - zipp=3.17.0=pyhd8ed1ab_0 - zlib=1.2.13=hd590300_5 - zstd=1.5.5=hfc55251_0 - pip: - c3s-eqc-automatic-quality-control==0.1.2.dev103+gaf19fc1 - cacholote==0.7.2 - cads-toolbox==0.0.2b0 - cgul==0.0.4 - coucal==0.0.1b3 - emohawk==0.0.4b0 - kaleido==0.2.1 - pymannkendall==1.4.3 prefix: /data/common/miniforge3/envs/wp5 Note: you may need to restart the kernel to use updated packages.

Anything else we need to know?

No response

malmans2 commented 6 months ago

Hi @akankshabalha ,

Please follow the instructions in the form when you request a permalink. Unfortunately, I can not issue the permalink as there are two .ipynb in the zip file.

Could you please edit your previous message including the following info?

Let me know when you included the right info and I will send you the permalink.

akankshabalha commented 6 months ago

Hi Mattia,

I have incorporated the right info. Kindly check and share the permalink.

malmans2 commented 6 months ago

The zip file is still incorrect. There are multiple notebooks in the zip archive.

akankshabalha commented 6 months ago

My bad. I have incorporated correct file now. Pls check.

malmans2 commented 6 months ago

I can't issue the permalink yet. You need to fill all fields in the form. Please add the task ID.

akankshabalha commented 6 months ago

Where can I find task ID?

malmans2 commented 6 months ago

It's the ID of the CIM task that was assigned to you. It looks like this: 1123e4567-e89b-12d3-a456-42665544000

Should be easy to find as all of the other evaluators added it in the form. I don't use the CIM, but I'm pretty sure you can find it in the url of your task. Not sure if it's shown somewhere else.

akankshabalha commented 6 months ago

Hi Mattia,

I have updated task ID. Kindly check and issue permalink.

malmans2 commented 6 months ago

Here is your permalink: https://github.com/ecmwf-projects/c3s2-eqc-quality-assessment/blob/4d46bdd01c3cf877dd858c57db7434b13abefdd1/Satellite_ECVs/Land_Biosphere_ECVs/satellite_satellite-albedo_consistency-assessment_q02.ipynb

Please make sure that the notebook name is correct.

If you need to make modifications, please share here the new version of the notebook and I will provide a new permalink. Let me know when the notebook is accepted, I will merge the PR into main.

malmans2 commented 6 months ago

Please do not close issues. The issue is automatically closed when the PR is merged into main.

As I mentioned in my previous comment, please use this issue to submit new versions of the notebook or to let us know when your task is completed and we can merge the PR into main.

malmans2 commented 4 months ago

Hi @akankshabalha, I noticed you have a small bug in your notebook. Basically, the variable da_albedo_proba is used before being defined. The fix is easy, you should move the definition a few lines up:

#___________________________________________________
# Regridding NOAA dataset and creating raster plot
#___________________________________________________

da_albedo_noaa = ds_albedo_maps_noaa["AL_BH_BB"]
da_albedo_proba = ds_albedo_maps_proba["AL_BH_BB"]

da_albedo_noaa_regrid = diagnostics.regrid(
    da_albedo_noaa, grid_out=da_albedo_proba, method="nearest_s2d"
)
_ = plot_and_print_area_statistics(da_albedo_noaa_regrid, threshold=0.215)
plt.title("Fig 1. Raster plot of albedo and forest area statistics for a region in Brazilian Amazon Forests during 1990-1991")
plt.show()

_ = plot_and_print_area_statistics(da_albedo_proba, threshold=0.1625)
plt.title("Fig 2. Raster plot of albedo and forest area statistics for a region in Brazilian Amazon Forests during 2018-2019")
plt.show()

No big deal, just remember to fix it next time you'll request a permalink.