Impact Indicators: the probability of Fire in natural vegetation Land Use Land Cover (LULC) classes

[ritavcunha]

Data Type

Satellite ECVs - Land Biosphere

Assessment Category

completeness

Dataset Name

satellite-fire-burned-area

Question Number

3

Workflow ID

eqctier3-d6f6e5ff-b530-4fec-89b3-36410f58809e

Zipped Notebook

D520.5.3.27_Quality_Assessment_User_Question_FIRE_UQ3_v5.zip

Environment

name: C3S_BOPEN channels: - conda-forge - https://repo.anaconda.com/pkgs/main - https://repo.anaconda.com/pkgs/r dependencies: - _libgcc_mutex=0.1=conda_forge - _openmp_mutex=4.5=2_gnu - accessible-pygments=0.0.4=pyhd8ed1ab_0 - affine=2.4.0=pyhd8ed1ab_0 - aiohttp=3.8.6=py310h2372a71_1 - aiosignal=1.3.1=pyhd8ed1ab_0 - alabaster=0.7.13=pyhd8ed1ab_0 - alsa-lib=1.2.8=h166bdaf_0 - annotated-types=0.6.0=pyhd8ed1ab_0 - ansiwrap=0.8.4=py_0 - antlr-python-runtime=4.7.2=py310hff52083_1003 - anyascii=0.3.2=pyhd8ed1ab_0 - anyio=4.0.0=pyhd8ed1ab_0 - archspec=0.2.1=pyhd8ed1ab_1 - argon2-cffi=23.1.0=pyhd8ed1ab_0 - argon2-cffi-bindings=21.2.0=py310h2372a71_4 - arrow=1.3.0=pyhd8ed1ab_0 - asciitree=0.3.3=py_2 - astroid=3.0.1=py310hff52083_0 - asttokens=2.4.1=pyhd8ed1ab_0 - async-lru=2.0.4=pyhd8ed1ab_0 - async-timeout=4.0.3=pyhd8ed1ab_0 - attr=2.5.1=h166bdaf_1 - attrs=23.1.0=pyh71513ae_1 - aws-c-auth=0.6.28=hccec9ca_5 - aws-c-cal=0.5.27=hf85dbcb_0 - aws-c-common=0.8.20=hd590300_0 - aws-c-compression=0.2.17=h4b87b72_0 - 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statsmodels=0.14.0=py310h1f7b6fc_2 - structlog=23.2.0=pyhd8ed1ab_0 - tblib=2.0.0=pyhd8ed1ab_0 - tenacity=8.2.3=pyhd8ed1ab_0 - terminado=0.17.1=pyh41d4057_0 - textwrap3=0.9.2=py_0 - threadpoolctl=3.2.0=pyha21a80b_0 - tiledb=2.13.2=hd532e3d_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=0.12.0=pyhd8ed1ab_0 - tornado=6.3.3=py310h2372a71_1 - tqdm=4.66.1=pyhd8ed1ab_0 - traitlets=5.13.0=pyhd8ed1ab_0 - truststore=0.8.0=pyhd8ed1ab_0 - typer=0.9.0=pyhd8ed1ab_0 - types-python-dateutil=2.8.19.14=pyhd8ed1ab_0 - typing-extensions=4.8.0=hd8ed1ab_0 - typing_extensions=4.8.0=pyha770c72_0 - typing_utils=0.1.0=pyhd8ed1ab_0 - tzcode=2023c=h0b41bf4_0 - tzdata=2023c=h71feb2d_0 - ucx=1.14.1=h64cca9d_5 - udunits2=2.2.28=h40f5838_3 - ukkonen=1.0.1=py310hd41b1e2_4 - unicodedata2=15.1.0=py310h2372a71_0 - uri-template=1.3.0=pyhd8ed1ab_0 - uriparser=0.9.7=hcb278e6_1 - urllib3=2.0.7=pyhd8ed1ab_0 - virtualenv=20.24.6=pyhd8ed1ab_0 - wcwidth=0.2.9=pyhd8ed1ab_0 - webcolors=1.13=pyhd8ed1ab_0 - webencodings=0.5.1=pyhd8ed1ab_2 - websocket-client=1.6.4=pyhd8ed1ab_0 - wheel=0.41.3=pyhd8ed1ab_0 - xarray=2023.10.1=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=3.2.4=h8d71039_2 - xesmf=0.8.2=pyhd8ed1ab_0 - xhistogram=0.3.2=pyhd8ed1ab_0 - xkeyboard-config=2.40=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 - xxhash=0.8.2=hd590300_0 - xyzservices=2023.10.1=pyhd8ed1ab_0 - xz=5.2.6=h166bdaf_0 - yaml=0.2.5=h7f98852_2 - yarl=1.9.2=py310h2372a71_1 - 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 - zstandard=0.22.0=py310h1275a96_0 - zstd=1.5.5=hfc55251_0 - pip: - alembic==1.14.0 - array-api-compat==1.9.1 - c3s-eqc-automatic-quality-control==0.1.2.dev113+g12de045 - cacholote==1.4.0 - cads-api-client==1.5.4 - cdsapi==0.7.4 - cgul==0.0.4 - earthkit-data==0.11.1 - earthkit-geo==0.3.0 - earthkit-meteo==0.3.0 - eccodes==2.39.0 - ecmwflibs==0.6.3 - h11==0.14.0 - httpcore==1.0.7 - httpx==0.28.1 - ipywidgets==8.1.5 - jupyter==1.1.1 - jupyter-console==6.6.3 - jupyterlab==4.3.3 - jupyterlab-server==2.27.3 - jupyterlab-widgets==3.0.13 - lru-dict==1.3.0 - mako==1.3.6 - markdown==3.7 - multiurl==0.3.3 - notebook==7.3.1 - pdbufr==0.11.0 - sqlalchemy-utils==0.41.2 - widgetsnbextension==4.0.13

Anything else we need to know?

No response

[malmans2]

The dataset name you provided in the form is not correct. It's satellite-fire-burned-area instead of fire-burned-area. I'm going to edit your answer above.

[malmans2]

@ritavcunha, the NB is missing the figure.

As usual, you can not use external figures. You need to attach the figure to the notebook as explained in the template.

[ritavcunha]

@malmans2 I put the figure as suggested in the template.
And I also put the .png in the zip file.

[malmans2]

I see this: ![alt text](annual_trend_PedrogaoGrande_2017.png)

That means that you are using an external figure. Your notebook should be self contained, therefore you should only include the notebook in the zip file. I will do it for you this time, but in the future please copy/paste the image in the notebook (as I believe you did for all the other notebooks). If the template is not clear, please add a comment here: #164

There's another small issue with your notebook. You are not using the admonition syntax in the Quality assessment statement section.

[malmans2]

The section references are also incorrect.
This is the syntax you should use:

(code-section-1)=
### 1. Data Overview, download and NUTS regions definition

I'm going to fix that and will release the permalink.

[malmans2]

Permalink: https://github.com/ecmwf-projects/c3s2-eqc-quality-assessment/blob/cd8daf4acab1c611563948f048ab8f739346b1be/Satellite_ECVs/Land_Biosphere/satellite_satellite-fire-burned-area_completeness_q03.ipynb

Please ensure that the notebook name is correct. If you need to make any modifications (e.g., addressing the reviewer's comments), please share the new version of the notebook here, and I will provide a new permalink. Let me know once the notebook is accepted, and I will merge the PR into the main branch.

PREVIEW

Happy holidays!

[ritavcunha]

Hi @malmans2 ,

With your help, I needed to change the Notebook.
So I need a new Permalink. Here it is the new version of the notebook, with the correct computation of the cell area:
D520.5.3.27_Quality_Assessment_User_Question_FIRE_UQ3_v10.zip

Best,
Rita

[malmans2]

Hi @ritavcunha,

The latest version you submitted still includes several issues (e.g., the figure is not attached to the notebook, references are not formatted correctly, and the admonition is missing).

As I have previously addressed these issues and provided corrections several times, I recommend that you download the latest version I edited for you and use that as your starting point.

You can access the latest version here. To download it, simply click the "Download" button on the page.

[ritavcunha]

@malmans2 , sorry for that issue.

Here is the zip file with the issues that you reported fixed:
D520.5.3.27_Quality_Assessment_User_Question_FIRE_UQ3_v11.zip

Hope now it's well done.
Best,
Rita

[malmans2]

The figures are still incorrect.

There are 2 figures:

• One points to an external file, which is not allowed: ![alt text](annual_trend_CentrePT_June2017.png)
• The other one points to an attached file that does not exist: attachment:89bbb524-1d3b-42bd-9f7e-5ddf86780b04.png. I guess something didn't go right when you attached it. When the attachment is done correctly, jupyter lab displays the figure.

[ritavcunha]

Hi @malmans2, I realy tried to put correctly the image, but I couldn't. Can you, please, help me on that?

Best,
Rita

[malmans2]

Have you followed these instructions? https://ecmwf-projects.github.io/c3s2-eqc-quality-assessment/templates/template.html#quality-assessment-statement

If yes, please send me the image you want to attach and I will take care of it. Then add a comment here describing the problems you are having, so the persons in charge of the template can improve the instructions.

[ritavcunha]

Yes! I tried to follow that template, and it did not help!
the image is this:

[malmans2]

Here is the new permalink: https://github.com/ecmwf-projects/c3s2-eqc-quality-assessment/blob/ddf4fd07c6ef95fea26a973a0d46cec54ca9da59/Satellite_ECVs/Land_Biosphere/satellite_satellite-fire-burned-area_completeness_q03.ipynb

PREVIEW

[malmans2]

All I did was this:

• I copy/pasted the figure in the cell
• Then attachment:... showed up in the cell, which I used to build the figure as you wanted it:

```{figure} attachment:c5a5ae69-12e6-472e-b2a5-ced035116ba9.png
---
height: 300px
---
Map represention and comparation between the total burned area and the confidence level for June of 2017 (which corresponds to the month and year with the most burned area values, havin into account this analysis) 

[ritavcunha]

I understand that, and I made that step. But, when I copy/paste the figure, the "attachment:c5a5ae69-12e6-472e-b2a5-ced035116ba9.png" does not appear like that. I appears like the name of the figure:

---

[malmans2]

Which editor are you using?
The VM is configured to work correctly with JupyterLab by default (I think your group is the only one that is not using the VM).

Other editors, like VS Code or versions of Jupyter without the right plugins, may need custom settings to work properly.

[ritavcunha]

I'm using VSCode, do you advise me to install any plugin?

[malmans2]

I would use the VM or a local JupyterLab to keep it as simple as possible.

If you followed our instructions to install the local conda environment, JupyterLab and the plugins needed are automatically installed. All you have to do is to run jupyter-lab from terminal.